http://localhost:8080/geonetwork/srv/api/records
type: PagedCollection
type: PartialCollectionView
last page: http://localhost:8080/geonetwork/srv/api/records
total items: 17758
previous page: http://localhost:8080/geonetwork/srv/api/records
next page: http://localhost:8080/geonetwork/srv/api/records
first page: http://localhost:8080/geonetwork/srv/api/records
items per page: 10

(My organization)
type: Catalog
open search description: eng/portal.opensearch
uri lookup endpoint: eng/rdf.search?any=
publisher: My organization
themes: Continents, countries, sea regions of the world.
language: eng
dataset: https://catalogue.ceda.ac.uk/uuid/057dd6c36f0741d3b97f9eee688b7835 057dd6c36f0741d3b97f9eee688b7835
dataset: https://catalogue.ceda.ac.uk/uuid/1d28a3d5d74d4439a2be8938dfb550f8 1d28a3d5d74d4439a2be8938dfb550f8
dataset: https://catalogue.ceda.ac.uk/uuid/440c7db6c4d34d669b7bedc4d621e48e 440c7db6c4d34d669b7bedc4d621e48e
dataset: https://catalogue.ceda.ac.uk/uuid/5b99157e20374ea0828598b8b3a24433 5b99157e20374ea0828598b8b3a24433
dataset: https://catalogue.ceda.ac.uk/uuid/984363c6d6d64a6b8f0e550262e158ee 984363c6d6d64a6b8f0e550262e158ee
dataset: https://catalogue.ceda.ac.uk/uuid/d1c2a98f588949889b19d0156b416063 d1c2a98f588949889b19d0156b416063
dataset: https://catalogue.ceda.ac.uk/uuid/e8b02bf5b0324ca09c4993b3923e9135 e8b02bf5b0324ca09c4993b3923e9135
dataset: https://catalogue.ceda.ac.uk/uuid/17e18421f0304ee3b02a96abf344ebe9 17e18421f0304ee3b02a96abf344ebe9
dataset: https://catalogue.ceda.ac.uk/uuid/a2e00ed1f3724db2b5ff24f17adf3811 a2e00ed1f3724db2b5ff24f17adf3811
dataset: https://catalogue.ceda.ac.uk/uuid/cf66055440344d7eb9b6f834e81736c6 cf66055440344d7eb9b6f834e81736c6 10.5285/cf66055440344d7eb9b6f834e81736c6
dataset: https://catalogue.ceda.ac.uk/uuid/130637c33a27475093552bf76c088150 130637c33a27475093552bf76c088150
dataset: https://catalogue.ceda.ac.uk/uuid/18886f95ba84447f997efac96df456ad 18886f95ba84447f997efac96df456ad 10.5285/18886f95ba84447f997efac96df456ad
dataset: https://catalogue.ceda.ac.uk/uuid/c39dfbe9ff574bf49b8e6d97a7715293 c39dfbe9ff574bf49b8e6d97a7715293
dataset: https://catalogue.ceda.ac.uk/uuid/dbbf8c12f3ad48309829735f7f2e6359 dbbf8c12f3ad48309829735f7f2e6359
dataset: https://catalogue.ceda.ac.uk/uuid/7b76a4b7b278441eb75b34265863cd80 7b76a4b7b278441eb75b34265863cd80
dataset: https://catalogue.ceda.ac.uk/uuid/733201b9c7a54bbba2f637328ab6e318 733201b9c7a54bbba2f637328ab6e318
dataset: My organization
dataset: Continents, countries, sea regions of the world.
dataset: ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED Product, Version 05.2
dataset: ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the "Active", "Passive" and "Combined" products, Version 03.3
dataset: Met Office LIDARNET Camborne Raymetrics LR111-D300 lidar profile data
dataset: Met Office LIDARNET Lerwick Raymetrics LR111-D300 lidar profile data
dataset: Met Office LIDARNET Stornoway Raymetrics LR111-D300 lidar profile data
dataset: Met Office LIDARNET Glasgow Raymetrics LR111-D300 lidar profile data
dataset: Met Office LIDARNET Loftus Raymetrics LR111-D300 lidar profile data
dataset: Met Office LIDARNET Portglenone Raymetrics LR111-D300 lidar profile data
dataset: Met Office LIDARNET Rhyl Raymetrics LR111-D300 lidar profile data
dataset: orthoimagery
dataset: atmospheric conditions
dataset: CEDA Data Catalogue Page
dataset: DOWNLOAD
dataset: Sample Image
dataset: ESA Climate Change Initiative website
dataset: -Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
dataset: -Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
dataset: ESA CCI Soil Moisture project website
dataset: -Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019
dataset: Algorithm Theoretical Baseline Document (ATBD) for v05.2 soil moisture data
dataset: Product User Guide
dataset: -Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014
dataset: Wagner, 2012: FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
dataset: Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
dataset: Product Specification Document (PSD) D1.2.1 Version 3.3
dataset: Algorithm Theoretical Baseline Document (ATBD) D2.1 Version 03.3 Executive Summary
dataset: Met Office LIDARNET backscatter visualisation map
dataset: Daily plots of Met Office LIDARNET Camborne Raymetrics LR111-D300 aerosol backscatter data
dataset: Daily plots of Met Office LIDARNET Lerwick Vaisala CL31 ceilometer cloud base and backscatter data
dataset: Daily plots of Met Office LIDARNET Stornoway Raymetrics LR111-D300 aerosol backscatter data
dataset: Daily plots of Met Office LIDARNET Glasgow Raymetrics LR111-D300 aerosol backscatter data
dataset: Daily plots of Met Office LIDARNET loftus Raymetrics LR111-D300 aerosol backscatter data
dataset: Daily plots of Met Office LIDARNET Portglenone Raymetrics LR111-D300 aerosol backscatter data
dataset: Daily plots of Met Office LIDARNET Rhyl Raymetrics LR111-D300 aerosol backscatter data
dataset: Data documentation
dataset: Journal Publication: Use of Abstraction and Discharge Data to Improve the Performance of a National-Scale Hydrological Model
dataset: Hydrological modelling and artificial influences: performance assessment & future scenarios. CS-NOW-D2 – Future water resources for water intensive energy infrastructure
dataset: Centre for Environmental Data Analysis (CEDA)
dataset: Unavailable
dataset: CCI Open Data Portal
dataset: Met Office
dataset: NERC EDS Centre for Environmental Data Analysis
dataset: Dorigo, Wouter
catalog record:
  primary topic: https://catalogue.ceda.ac.uk/uuid/130637c33a27475093552bf76c088150 130637c33a27475093552bf76c088150
  conforms to: 32557.html
  issued: 2026-04-02
  modified: 2026-04-02
dataset: FAAM C106 ACSIS flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft
  abstract: Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project.
  keyword: ACSIS
  keyword: FAAM
  keyword: airborne
  keyword: atmospheric measurments
  theme: atmospheric conditions
  theme: climatologyMeteorologyAtmosphere
  spatial: Polygon
    as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-8.493475 50.210293, -8.493475 52.28012, -0.49385634 52.28012, -0.49385634 50.210293, -8.493475 50.210293))
  temporal: 2018-05-16T23:00:00 / 2018-05-17T22:59:59
  issued: 2018-06-21T10:35:18
  publisher: Facility for Airborne Atmospheric Measurements (FAAM)
  publisher: Natural Environment Research Council (NERC)
  publisher: Met Office
  publisher: Centre for Environmental Data Analysis (CEDA)
  publisher: Unavailable
  accrual periodicity: asNeeded
  language: eng
  license: Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
  license: Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
  distribution: -CEDA Data Catalogue Page
  distribution: -DOWNLOAD
  distribution: -Flight summary file for FAAM BAE-146 flight C106
  data quality: Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the Centre for Environmental Data Analysis (CEDA).
catalog record:
  primary topic: https://catalogue.ceda.ac.uk/uuid/18886f95ba84447f997efac96df456ad 18886f95ba84447f997efac96df456ad 10.5285/18886f95ba84447f997efac96df456ad
  conforms to: 32557.html
  issued: 2026-04-02
  modified: 2026-04-02
dataset: Gridded actual groundwater, surface water and tidal water abstraction, discharge and Hands-off Flow datasets for England (1999 to 2014)
  abstract: This dataset contains recorded or ‘actual’ abstraction and discharge data for sites across England that have been transformed into 1 km × 1 km resolution gridded data along with surface water Hands-off Flow (HoF) conditions, and are available in CSV and/or NetCDF formats. It includes: (i) Monthly abstractions (m3 month-1) from 1999 to 2014 for each source (Groundwater, Surface Water or Tidal Water) (ii) Mean monthly abstractions (m3 month-1) over the period 2010 to 2014 for each source (Groundwater, Surface Water or Tidal Water) (iii) Daily rate of Consented Dry Weather flow (CDWF)and Recent Actual (RACT) discharges (m3 day-1) based on information from a 6-year period ending in 2017 (iv) Hands-off Flow (HoF) conditions (m3 day-1) for 2022 Further details, including caveats about usage, are provided in the linked Data Document. These data were sourced from the Environment Agency (EA) monthly groundwater, surface water and tidal water abstraction data from 1999 to 2014, and annual discharges and surface water Hands-off Flow (HoF) conditions were obtained from the EA’s Water Resources Geographic Information System (WRGIS 2017 and 2022 versions respectively). This data publication is supported by the Natural Environment Research Council award number NE/X019063/1 as part of the Hydro-JULES programme delivering National Capability. The dataset is also linked with the Climate Services for a Net Zero Resilient World (CS-N0W) project.
  keyword: Abstractions
  keyword: Discharges
  keyword: Hands-off Flow
  keyword: Artificial Influences
  keyword: Groundwater
  keyword: Surface Water
  keyword: Tidal Water
  keyword: Consented Dry Weather Flow
  keyword: Recent Actual Discharges
  keyword: CS-NOW
  keyword: England
  keyword: Hydrology
  keyword: River Flows
  theme: atmospheric conditions
  theme: climatologyMeteorologyAtmosphere
  spatial: Polygon
    as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-7.486622 49.805661, -7.486622 55.82874, 2.071173 55.82874, 2.071173 49.805661, -7.486622 49.805661))
  temporal: 1999-01-01T00:00:00 / 2014-01-01T00:00:00
  issued: 2025-01-22T16:37:23
  publisher: Unavailable
  publisher: NERC EDS Centre for Environmental Data Analysis
  accrual periodicity: notPlanned
  language: eng
  license: Public data: access to these data is available to both registered and non-registered users.
  license: Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
  distribution: -CEDA Data Catalogue Page
  distribution: -DOWNLOAD
  distribution: -Data Document
  distribution: -Relevant Journal Publication
  distribution: -Relevant Report Publication
  distribution: -Climate services for a Net Zero resilient world (CS-N0W): overview
  data quality: The abstraction and discharge datasets were sourced from the Environment Agency. Specifically, monthly groundwater, surface water and tidal water abstraction data were obtained from 1999 to 2014, and annual discharges and surface water Hands-off Flow (HoF) conditions were obtained from the EA’s Water Resources Geographic Information System (WRGIS 2017 and 2022 versions respectively). Due to national security data restrictions regarding the location of public water supply abstractions, publication of the dataset is limited to a 1 km x 1 km resolution. Information at a higher resolution has been removed or converted to a 1 km x 1 km resolution as appropriate, and any personal or identifying data has been removed. These data were compiled by the project team before archival at EDS-CEDA
catalog record:
  primary topic: https://catalogue.ceda.ac.uk/uuid/c39dfbe9ff574bf49b8e6d97a7715293 c39dfbe9ff574bf49b8e6d97a7715293
  conforms to: 32557.html
  issued: 2026-04-02
  modified: 2026-04-02
dataset: FAAM C077 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
  abstract: Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project.
  keyword: PICASSO
  keyword: FAAM
  keyword: airborne
  keyword: atmospheric measurments
  theme: atmospheric conditions
  theme: climatologyMeteorologyAtmosphere
  spatial: Polygon
    as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-4.727589130401611 50.785648345947266, -4.727589130401611 52.3905029296875, -0.35971903800964355 52.3905029296875, -0.35971903800964355 50.785648345947266, -4.727589130401611 50.785648345947266))
  temporal: 2018-01-29T00:00:00 / 2018-01-30T00:00:00
  issued: 2018-04-30T14:35:04
  publisher: Facility for Airborne Atmospheric Measurements (FAAM)
  publisher: Natural Environment Research Council (NERC)
  publisher: Met Office
  publisher: Centre for Environmental Data Analysis (CEDA)
  publisher: Unavailable
  accrual periodicity: asNeeded
  language: eng
  license: Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
  license: Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
  distribution: -CEDA Data Catalogue Page
  distribution: -DOWNLOAD
  distribution: -Flight track for FAAM BAE-146 flight C077
  data quality: Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the Centre for Environmental Data Analysis (CEDA).
catalog record:
  primary topic: https://catalogue.ceda.ac.uk/uuid/dbbf8c12f3ad48309829735f7f2e6359 dbbf8c12f3ad48309829735f7f2e6359
  conforms to: 32557.html
  issued: 2026-04-02
  modified: 2026-04-02
dataset: FAAM C076 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
  abstract: Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project.
  keyword: PICASSO
  keyword: FAAM
  keyword: airborne
  keyword: atmospheric measurments
  theme: atmospheric conditions
  theme: climatologyMeteorologyAtmosphere
  spatial: Polygon
    as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-2.693279981613159 50.73329162597656, -2.693279981613159 52.37247085571289, -0.40838998556137085 52.37247085571289, -0.40838998556137085 50.73329162597656, -2.693279981613159 50.73329162597656))
  temporal: 2018-01-24T00:00:00 / 2018-01-24T23:59:59
  issued: 2018-04-18T13:19:17
  publisher: Facility for Airborne Atmospheric Measurements (FAAM)
  publisher: Natural Environment Research Council (NERC)
  publisher: Met Office
  publisher: Centre for Environmental Data Analysis (CEDA)
  publisher: Unavailable
  accrual periodicity: asNeeded
  language: eng
  license: Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
  license: Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
  distribution: -CEDA Data Catalogue Page
  distribution: -DOWNLOAD
  distribution: -Flight summary file for FAAM BAE-146 flight C076
  distribution: -Flight track for FAAM BAE-146 flight C076
  data quality: Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the Centre for Environmental Data Analysis (CEDA).
catalog record:
  primary topic: https://catalogue.ceda.ac.uk/uuid/7b76a4b7b278441eb75b34265863cd80 7b76a4b7b278441eb75b34265863cd80
  conforms to: 32557.html
  issued: 2026-04-02
  modified: 2026-04-02
dataset: FAAM C075 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
dataset: FAAM C078 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
concept: atmospheric conditions
distribution: CEDA Data Catalogue Page

My organization
type: Organization

Continents, countries, sea regions of the world.
type: ConceptScheme
uri: http://localhost:8080/geonetwork/srv/eng/thesaurus.download

http://localhost:8080/geonetwork/records/057dd6c36f0741d3b97f9eee688b7835
type: CatalogRecord
primary topic: https://catalogue.ceda.ac.uk/uuid/057dd6c36f0741d3b97f9eee688b7835 057dd6c36f0741d3b97f9eee688b7835
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED Product, Version 05.2
type: Dataset
abstract: The Soil Moisture CCI COMBINED dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS and SMAP satellite instruments. PASSIVE and ACTIVE products have also been created. The v05.2 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2019-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website. The data set should be cited using all three of the following references: 1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019 2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001 3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remot…
keyword: ESA
keyword: Soil Moisture
keyword: CCI
keyword: Combined
keyword: soil moisture
keyword: Aqua
keyword: Coriolis
keyword: DMSP-F08
keyword: DMSP-F11
keyword: DMSP-F13
keyword: ERS-1
keyword: ERS-2
keyword: GCOM-W1
keyword: Metop-A
keyword: Metop-B
keyword: Nimbus-7
keyword: SMOS
keyword: TRMM
keyword: AMI-SCAT
keyword: MIRAS
keyword: SMAP
keyword: AMSR2
keyword: AMSRE
keyword: ASCAT
keyword: SMMR
keyword: SSM/I
keyword: TMI
keyword: WindSat
theme: orthoimagery
theme: imageryBaseMapsEarthCover
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-180.0 -90.0, -180.0 90.0, 180.0 90.0, 180.0 -90.0, -180.0 -90.0))
temporal: 1978-11-01T00:00:00 / 2019-12-31T23:59:59
issued: 2020-11-23T14:59:00
publisher: Unavailable
publisher: Centre for Environmental Data Analysis (CEDA)
publisher: CCI Open Data Portal
accrual periodicity: notPlanned
language: eng
license: Public data: access to these data is available to both registered and non-registered users.
license: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions.pdf, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
distribution: CEDA Data Catalogue Page
distribution: DOWNLOAD
distribution: Sample Image
distribution: ESA Climate Change Initiative website
distribution: -Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
distribution: -Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
distribution: ESA CCI Soil Moisture project website
distribution: -Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019
distribution: Algorithm Theoretical Baseline Document (ATBD) for v05.2 soil moisture data
distribution: Product User Guide
data quality: Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project. This dataset forms part of the ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 05.2 data collection. doi: 10.5285/b11f3fa3303e46e6b0d44b058947a3f5. http://dx.doi.org/10.5285/b11f3fa3303e46e6b0d44b058947a3f5 .

http://localhost:8080/geonetwork/records/1d28a3d5d74d4439a2be8938dfb550f8
type: CatalogRecord
primary topic: https://catalogue.ceda.ac.uk/uuid/1d28a3d5d74d4439a2be8938dfb550f8 1d28a3d5d74d4439a2be8938dfb550f8
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the "Active", "Passive" and "Combined" products, Version 03.3
type: Dataset
abstract: These ancillary datasets were used in the production of the "Active", "Passive" and "Combined" soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v03.3 Soil Moisture CCI data. The "Active" "Passive" and "Combined" soil moisture products which they were used in the development of are fusions of scatterometer and radiometer soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website. Soil moisture CCI data should be cited using the complete three references as follows: 1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001 2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070 3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of E…
keyword: ESA
keyword: Soil Moisture
keyword: CCI
keyword: Ancillary
keyword: soil moisture
theme: orthoimagery
theme: imageryBaseMapsEarthCover
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-180.0 -90.0, -180.0 90.0, 180.0 90.0, 180.0 -90.0, -180.0 -90.0))
temporal: 2002-06-30T23:00:00 / 2011-10-04T22:59:59
issued: 2018-06-25T13:34:28
publisher: Unavailable
publisher: Centre for Environmental Data Analysis (CEDA)
publisher: CCI Open Data Portal
accrual periodicity: notPlanned
language: eng
license: Public data: access to these data is available to both registered and non-registered users.
license: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions.pdf, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
distribution: CEDA Data Catalogue Page
distribution: DOWNLOAD
distribution: Product User Guide
distribution: -Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014
distribution: -Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
distribution: -Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001.
distribution: Sample Image
distribution: Wagner, 2012: FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
distribution: Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
distribution: Product Specification Document (PSD) D1.2.1 Version 3.3
distribution: Algorithm Theoretical Baseline Document (ATBD) D2.1 Version 03.3 Executive Summary
distribution: ESA CCI Soil Moisture project website
distribution: ESA Climate Change Initiative website
data quality: Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project. This dataset forms part of the v03.3 Soil Moisture CCI data (doi:10.5285/b810601740bd4848b0d7965e6d83d26c. http://dx.doi.org/10.5285/b810601740bd4848b0d7965e6d83d26c )

http://localhost:8080/geonetwork/records/440c7db6c4d34d669b7bedc4d621e48e
type: CatalogRecord
primary topic: https://catalogue.ceda.ac.uk/uuid/440c7db6c4d34d669b7bedc4d621e48e 440c7db6c4d34d669b7bedc4d621e48e
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

Met Office LIDARNET Camborne Raymetrics LR111-D300 lidar profile data
type: Dataset
abstract: Range corrected lidar signal and volume depolarisation ratio data from the Met Office's Raymetrics LR111-D300 lidar located at Camborne, Cornwall. Data available from June 2018 onwards, though the instrument is only operated sporadically (see below for further details). This instrument is one of a suite of 10 Raman lidars deployed by the Met Office around the UK to complement a wider network of ceilometers within the "LIDARNET" upper air monitoring network. Returns from these instruments form a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed. The primary aim of the Raman lidar network is the detection and quantification of volcanic ash aerosols during a volcanic event, and the network is only test fired only for a few hours each week. Outside of these times the lidars may be fired if there is a mineral dust outbreak or other such aerosol event of interest. The lidars will not fire if any precipitation is detected. Raman channel data are not presently available from this instrument in the CEDA archives.
keyword: Met Office
keyword: lidar
keyword: ash
keyword: Raman
keyword: backscatter profiles
theme: atmospheric conditions
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-5.327272 50.217931, -5.327272 50.217931, -5.327272 50.217931, -5.327272 50.217931, -5.327272 50.217931))
temporal: 2018-06-20T07:29:00 /
issued: 2019-02-19T10:26:35
publisher: Met Office
publisher: Centre for Environmental Data Analysis (CEDA)
accrual periodicity: asNeeded
language: eng
license: These data have multiple licences for different applications. Always make sure to read the appropriate licence for full data usage limitations details. Other usage may not be permitted. Restricted data: please submit an application using the REQUEST ACCESS link for access.
license: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf, appropriate use of these data may fall under academic use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
license: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf, appropriate use of these data may fall under policy use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
distribution: CEDA Data Catalogue Page
distribution: DOWNLOAD
distribution: Met Office LIDARNET backscatter visualisation map
distribution: Daily plots of Met Office LIDARNET Camborne Raymetrics LR111-D300 aerosol backscatter data
data quality: Data were collected by the Met Office before processed through the Met Office's Hermes system. A copy of these data were then delivered by the Met Office to CEDA for archiving.

http://localhost:8080/geonetwork/records/5b99157e20374ea0828598b8b3a24433
type: CatalogRecord
primary topic: https://catalogue.ceda.ac.uk/uuid/5b99157e20374ea0828598b8b3a24433 5b99157e20374ea0828598b8b3a24433
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

Met Office LIDARNET Lerwick Raymetrics LR111-D300 lidar profile data
type: Dataset
abstract: Range corrected lidar signal and volume depolarisation ratio data from the Met Office's Raymetrics LR111-D300 lidar located at Lerwick, Shetland Isles. Data available from July 2018 onwards, though the instrument is only operated sporadically (see below for further details). This instrument is one of a suite of 10 Raman lidars deployed by the Met Office around the UK to complement a wider network of ceilometers. Returns from these instruments form a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed. The primary aim of the Raman lidar network is the detection and quantification of volcanic ash aerosols during a volcanic event, and the network is only test fired only for a few hours each week. Outside of these times the lidars may be fired if there is a mineral dust outbreak or other such aerosol event of interest. The lidars will not fire if any precipitation is detected. Raman channel data are not presently available from this instrument in the CEDA archives.
keyword: Met Office
keyword: lidar
keyword: ceilometer
keyword: ash
theme: atmospheric conditions
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-1.183 60.133, -1.183 60.133, -1.183 60.133, -1.183 60.133, -1.183 60.133))
temporal: 2015-07-13T08:00:14 /
issued: 2019-02-19T10:26:49
publisher: Met Office
publisher: Centre for Environmental Data Analysis (CEDA)
accrual periodicity: asNeeded
language: eng
license: These data have multiple licences for different applications. Always make sure to read the appropriate licence for full data usage limitations details. Other usage may not be permitted. Restricted data: please submit an application using the REQUEST ACCESS link for access.
license: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf, appropriate use of these data may fall under academic use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
license: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf, appropriate use of these data may fall under policy use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
distribution: CEDA Data Catalogue Page
distribution: DOWNLOAD
distribution: Met Office LIDARNET backscatter visualisation map
distribution: Daily plots of Met Office LIDARNET Lerwick Vaisala CL31 ceilometer cloud base and backscatter data
data quality: Data were collected by the Met Office before processed through the Met Office's Hermes system. A copy of these data were then delivered by the Met Office to CEDA for archiving.

http://localhost:8080/geonetwork/records/984363c6d6d64a6b8f0e550262e158ee
type: CatalogRecord
primary topic: https://catalogue.ceda.ac.uk/uuid/984363c6d6d64a6b8f0e550262e158ee 984363c6d6d64a6b8f0e550262e158ee
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

Met Office LIDARNET Stornoway Raymetrics LR111-D300 lidar profile data
type: Dataset
abstract: Range corrected lidar signal and volume depolarisation ratio data from the Met Office's Raymetrics LR111-D300 lidar located at Stornoway, Isle of Lewis in the Outer Hebrides of Scotland. Data available from June 2018 onwards, though the instrument is only operated sporadically (see below for further details). This instrument is one of a suite of 10 Raman lidars deployed by the Met Office around the UK to complement a wider network of ceilometers within the "LIDARNET" upper air monitoring network. Returns from these instruments form a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed. The primary aim of the Raman lidar network is the detection and quantification of volcanic ash aerosols during a volcanic event, and the network is only test fired only for a few hours each week. Outside of these times the lidars may be fired if there is a mineral dust outbreak or other such aerosol event of interest. The lidars will not fire if any precipitation is detected. Raman channel data are not presently available from this instrument in the CEDA archives.
keyword: Met Office
keyword: lidar
keyword: ceilometer
keyword: ash
theme: atmospheric conditions
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-6.185 58.211, -6.185 58.211, -6.185 58.211, -6.185 58.211, -6.185 58.211))
temporal: 2018-06-19T13:29:00 /
issued: 2019-02-19T10:27:55
publisher: Met Office
publisher: Centre for Environmental Data Analysis (CEDA)
accrual periodicity: asNeeded
language: eng
license: These data have multiple licences for different applications. Always make sure to read the appropriate licence for full data usage limitations details. Other usage may not be permitted. Restricted data: please submit an application using the REQUEST ACCESS link for access.
license: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf, appropriate use of these data may fall under academic use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
license: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf, appropriate use of these data may fall under policy use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
distribution: CEDA Data Catalogue Page
distribution: DOWNLOAD
distribution: Met Office LIDARNET backscatter visualisation map
distribution: Daily plots of Met Office LIDARNET Stornoway Raymetrics LR111-D300 aerosol backscatter data
data quality: Data were collected by the Met Office before processed through the Met Office's Hermes system. A copy of these data were then delivered by the Met Office to CEDA for archiving.

http://localhost:8080/geonetwork/records/d1c2a98f588949889b19d0156b416063
type: CatalogRecord
primary topic: https://catalogue.ceda.ac.uk/uuid/d1c2a98f588949889b19d0156b416063 d1c2a98f588949889b19d0156b416063
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

Met Office LIDARNET Glasgow Raymetrics LR111-D300 lidar profile data
type: Dataset
abstract: Range corrected lidar signal and volume depolarisation ratio data from the Met Office's Raymetrics LR111-D300 lidar located at the Met Office's Bishopton enclosure near Glasgow, Scotland. Data available from June 2018 onwards, though the instrument is only operated sporadically (see below for further details). This instrument is one of a suite of 10 Raman lidars deployed by the Met Office around the UK to complement a wider network of ceilometers within the "LIDARNET" upper air monitoring network. Returns from these instruments form a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed. The primary aim of the Raman lidar network is the detection and quantification of volcanic ash aerosols during a volcanic event, and the network is only test fired only for a few hours each week. Outside of these times the lidars may be fired if there is a mineral dust outbreak or other such aerosol event of interest. The lidars will not fire if any precipitation is detected. Raman channel data are not presently available from this instrument in the CEDA archives.
keyword: Met Office
keyword: lidar
keyword: ash
keyword: Raman
keyword: backscatter profiles
theme: atmospheric conditions
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-4.532539 55.906814, -4.532539 55.906814, -4.532539 55.906814, -4.532539 55.906814, -4.532539 55.906814))
temporal: 2018-06-19T13:29:00 /
issued: 2019-02-19T10:27:21
publisher: Met Office
publisher: Centre for Environmental Data Analysis (CEDA)
accrual periodicity: asNeeded
language: eng
license: These data have multiple licences for different applications. Always make sure to read the appropriate licence for full data usage limitations details. Other usage may not be permitted. Restricted data: please submit an application using the REQUEST ACCESS link for access.
license: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf, appropriate use of these data may fall under academic use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
license: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf, appropriate use of these data may fall under policy use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
distribution: CEDA Data Catalogue Page
distribution: DOWNLOAD
distribution: Met Office LIDARNET backscatter visualisation map
distribution: Daily plots of Met Office LIDARNET Glasgow Raymetrics LR111-D300 aerosol backscatter data
data quality: Data were collected by the Met Office before processed through the Met Office's Hermes system. A copy of these data were then delivered by the Met Office to CEDA for archiving.

http://localhost:8080/geonetwork/records/e8b02bf5b0324ca09c4993b3923e9135
type: CatalogRecord
primary topic: https://catalogue.ceda.ac.uk/uuid/e8b02bf5b0324ca09c4993b3923e9135 e8b02bf5b0324ca09c4993b3923e9135
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

Met Office LIDARNET Loftus Raymetrics LR111-D300 lidar profile data
type: Dataset
abstract: Range corrected lidar signal and volume depolarisation ratio data from the Met Office's Raymetrics LR111-D300 lidar located at Loftus, North Yorkshire. Data available from June 2018 onwards, though the instrument is only operated sporadically (see below for further details). This instrument is one of a suite of 10 Raman lidars deployed by the Met Office around the UK to complement a wider network of ceilometers within the "LIDARNET" upper air monitoring network. Returns from these instruments form a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed. The primary aim of the Raman lidar network is the detection and quantification of volcanic ash aerosols during a volcanic event, and the network is only test fired only for a few hours each week. Outside of these times the lidars may be fired if there is a mineral dust outbreak or other such aerosol event of interest. The lidars will not fire if any precipitation is detected. Raman channel data are not presently available from this instrument in the CEDA archives.
keyword: Met Office
keyword: lidar
keyword: ash
keyword: Raman
keyword: backscatter profiles
theme: atmospheric conditions
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-0.863491 54.562933, -0.863491 54.562933, -0.863491 54.562933, -0.863491 54.562933, -0.863491 54.562933))
temporal: 2018-06-19T13:53:00 /
issued: 2019-02-19T10:27:36
publisher: Met Office
publisher: Centre for Environmental Data Analysis (CEDA)
accrual periodicity: asNeeded
language: eng
license: These data have multiple licences for different applications. Always make sure to read the appropriate licence for full data usage limitations details. Other usage may not be permitted. Restricted data: please submit an application using the REQUEST ACCESS link for access.
license: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf, appropriate use of these data may fall under academic use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
license: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf, appropriate use of these data may fall under policy use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
distribution: CEDA Data Catalogue Page
distribution: DOWNLOAD
distribution: Met Office LIDARNET backscatter visualisation map
distribution: Daily plots of Met Office LIDARNET loftus Raymetrics LR111-D300 aerosol backscatter data
data quality: Data were collected by the Met Office before processed through the Met Office's Hermes system. A copy of these data were then delivered by the Met Office to CEDA for archiving.

http://localhost:8080/geonetwork/records/17e18421f0304ee3b02a96abf344ebe9
type: CatalogRecord
primary topic: https://catalogue.ceda.ac.uk/uuid/17e18421f0304ee3b02a96abf344ebe9 17e18421f0304ee3b02a96abf344ebe9
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

Met Office LIDARNET Portglenone Raymetrics LR111-D300 lidar profile data
type: Dataset
abstract: Range corrected lidar signal and volume depolarisation ratio data from the Met Office's Raymetrics LR111-D300 lidar located at the Met Office observations enclosure near Portglenone, County Antrim, Northern Ireland. Data available from June 2018 onwards, though the instrument is only operated sporadically (see below for further details). This instrument is one of a suite of 10 Raman lidars deployed by the Met Office around the UK to complement a wider network of ceilometers within the "LIDARNET" upper air monitoring network. Returns from these instruments form a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed. The primary aim of the Raman lidar network is the detection and quantification of volcanic ash aerosols during a volcanic event, and the network is only test fired only for a few hours each week. Outside of these times the lidars may be fired if there is a mineral dust outbreak or other such aerosol event of interest. The lidars will not fire if any precipitation is detected. Raman channel data are not presently available from this instrument in the CEDA archives.
keyword: Met Office
keyword: lidar
keyword: ash
keyword: Raman
keyword: backscatter profiles
theme: atmospheric conditions
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-6.457837 54.865323, -6.457837 54.865323, -6.457837 54.865323, -6.457837 54.865323, -6.457837 54.865323))
temporal: 2018-06-20T07:29:00 /
issued: 2019-02-19T10:27:46
publisher: Met Office
publisher: Centre for Environmental Data Analysis (CEDA)
accrual periodicity: asNeeded
language: eng
license: These data have multiple licences for different applications. Always make sure to read the appropriate licence for full data usage limitations details. Other usage may not be permitted. Restricted data: please submit an application using the REQUEST ACCESS link for access.
license: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf, appropriate use of these data may fall under academic use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
license: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf, appropriate use of these data may fall under policy use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
distribution: CEDA Data Catalogue Page
distribution: DOWNLOAD
distribution: Daily plots of Met Office LIDARNET Portglenone Raymetrics LR111-D300 aerosol backscatter data
data quality: Data were collected by the Met Office before processed through the Met Office's Hermes system. A copy of these data were then delivered by the Met Office to CEDA for archiving.

http://localhost:8080/geonetwork/records/a2e00ed1f3724db2b5ff24f17adf3811
type: CatalogRecord
primary topic: https://catalogue.ceda.ac.uk/uuid/a2e00ed1f3724db2b5ff24f17adf3811 a2e00ed1f3724db2b5ff24f17adf3811
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

Met Office LIDARNET Rhyl Raymetrics LR111-D300 lidar profile data
type: Dataset
abstract: Range corrected lidar signal and volume depolarisation ratio data from the Met Office's Raymetrics LR111-D300 lidar located at a Met Office instrument enclosure near Rhyl, Denbighshire, on the North Welsh coast. Data available from June 2018 onwards, though the instrument is only operated sporadically (see below for further details). This instrument is one of a suite of 10 Raman lidars deployed by the Met Office around the UK to complement a wider network of ceilometers within the "LIDARNET" upper air monitoring network. Returns from these instruments form a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed. The primary aim of the Raman lidar network is the detection and quantification of volcanic ash aerosols during a volcanic event, and the network is only test fired only for a few hours each week. Outside of these times the lidars may be fired if there is a mineral dust outbreak or other such aerosol event of interest. The lidars will not fire if any precipitation is detected. Raman channel data are not presently available from this instrument in the CEDA archives.
keyword: Met Office
keyword: lidar
keyword: ash
keyword: Raman
keyword: backscatter profiles
theme: atmospheric conditions
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-3.508681 53.259296, -3.508681 53.259296, -3.508681 53.259296, -3.508681 53.259296, -3.508681 53.259296))
temporal: 2018-06-20T07:44:00 /
issued: 2019-02-19T10:26:15
publisher: Met Office
publisher: Centre for Environmental Data Analysis (CEDA)
accrual periodicity: asNeeded
language: eng
license: These data have multiple licences for different applications. Always make sure to read the appropriate licence for full data usage limitations details. Other usage may not be permitted. Restricted data: please submit an application using the REQUEST ACCESS link for access.
license: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf, appropriate use of these data may fall under academic use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
license: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf, appropriate use of these data may fall under policy use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
distribution: CEDA Data Catalogue Page
distribution: DOWNLOAD
distribution: Met Office LIDARNET backscatter visualisation map
distribution: Daily plots of Met Office LIDARNET Rhyl Raymetrics LR111-D300 aerosol backscatter data
data quality: Data were collected by the Met Office before processed through the Met Office's Hermes system. A copy of these data were then delivered by the Met Office to CEDA for archiving.

http://localhost:8080/geonetwork/records/cf66055440344d7eb9b6f834e81736c6
type: CatalogRecord
primary topic: https://catalogue.ceda.ac.uk/uuid/cf66055440344d7eb9b6f834e81736c6 cf66055440344d7eb9b6f834e81736c6 10.5285/cf66055440344d7eb9b6f834e81736c6
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

CS-NOW: Gridded future projections of natural and artificially influenced river flows (1980 to 2080)
type: Dataset
abstract: The Grid-to-Grid (G2G) river flow model projections comprise an ensemble of natural and artificially influenced (AI) estimates of daily mean river flows (m3s-1). These flow projections are for a historical and future period spanning 1st December 1980 to 30th November 2080 and reflect scenarios of change in both climate and artificial (anthropogenic) influences (abstractions and discharges). The historical and future projections are available in two formats: (i) 1 km × 1 km gridded daily mean river flows (m3s-1) for two spatial regions: Natural river flows across Great Britain, and Artificially influenced river flows across England (ii) Time series of daily flows for 626 catchments across England The climate projections consist of an ensemble of bias-corrected UKCP18 Regional Climate Model (RCM) output. A further 4 hydrological connectivity datasets provide flow directions, upstream areas and coastal/gauged locations. Further details are provided in a linked Data Document. Three future scenarios of artificial influences are considered: (a) Sustainability (SUS), (b) Business as usual (BAU) and (c) Economic Growth (EG). The dataset is an output from the CS-NOW project (Climate services for a Net Zero resilient world - GOV.UK (www.gov.uk)), commissioned by the UK Department for Energy Security and Net Zero (DESNZ). Publication of these data is also supported by the Natural Environment Research Council award number NE/X019063/1 as part of the Hydro-JULES programme delivering National Capability.
keyword: Hydrology
keyword: Modelling
keyword: Daily River Flows
keyword: Abstractions
keyword: Discharges
keyword: Artificial Influences
keyword: UKCP18
keyword: Climate Projection
keyword: UK
keyword: CS-N0W
keyword: CS-NOW
keyword: Natural River Flows
keyword: Artificially Influenced River Flows
theme: atmospheric conditions
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-7.486622 49.805661, -7.486622 58.703251, 2.071173 58.703251, 2.071173 49.805661, -7.486622 49.805661))
temporal: 1980-12-01T00:00:00 / 2080-12-01T00:00:00
issued: 2025-01-22T16:35:05
publisher: Unavailable
publisher: NERC EDS Centre for Environmental Data Analysis
accrual periodicity: notPlanned
language: eng
license: Public data: access to these data is available to both registered and non-registered users.
license: Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
distribution: CEDA Data Catalogue Page
distribution: DOWNLOAD
distribution: Data documentation
distribution: Journal Publication: Use of Abstraction and Discharge Data to Improve the Performance of a National-Scale Hydrological Model
distribution: Hydrological modelling and artificial influences: performance assessment & future scenarios. CS-NOW-D2 – Future water resources for water intensive energy infrastructure
data quality: This dataset comprise an ensemble of natural and artificially influenced (AI) estimates of daily mean river flows (m3s-1). These flow projections are for a historical and future period spanning 1st December 1980 to 30th November 2080 and reflect scenarios of change in both climate and artificial (anthropogenic) influences (abstractions and discharges). Data were produced by the project team before archival at EDS-CEDA

orthoimagery
type: Concept
in scheme: GEMET - INSPIRE themes, version 1.0

atmospheric conditions
type: Concept
in scheme: GEMET - INSPIRE themes, version 1.0

CEDA Data Catalogue Page
type: Distribution
access URL: https://catalogue.ceda.ac.uk/uuid/057dd6c36f0741d3b97f9eee688b7835
access URL: https://catalogue.ceda.ac.uk/uuid/1d28a3d5d74d4439a2be8938dfb550f8
access URL: https://catalogue.ceda.ac.uk/uuid/440c7db6c4d34d669b7bedc4d621e48e
access URL: https://catalogue.ceda.ac.uk/uuid/5b99157e20374ea0828598b8b3a24433
access URL: https://catalogue.ceda.ac.uk/uuid/984363c6d6d64a6b8f0e550262e158ee
access URL: https://catalogue.ceda.ac.uk/uuid/d1c2a98f588949889b19d0156b416063
access URL: https://catalogue.ceda.ac.uk/uuid/e8b02bf5b0324ca09c4993b3923e9135
access URL: https://catalogue.ceda.ac.uk/uuid/17e18421f0304ee3b02a96abf344ebe9
access URL: https://catalogue.ceda.ac.uk/uuid/a2e00ed1f3724db2b5ff24f17adf3811
access URL: https://catalogue.ceda.ac.uk/uuid/cf66055440344d7eb9b6f834e81736c6

DOWNLOAD
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v05.2
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/ancillary/v03.3/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/camborne/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/lerwick/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/stornoway/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/glasgow/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/loftus/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/portglenone/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/rhyl/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-proj-river-flows

Sample Image
type: Distribution

ESA Climate Change Initiative website
type: Distribution
access URL: https://climate.esa.int
access URL: https://climate.esa.int/

-Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2017.07.001
title: Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001

-Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
type: Distribution
access URL: https://doi.org/10.1109/TGRS.2017.2734070
title: Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070

ESA CCI Soil Moisture project website
type: Distribution
access URL: https://climate.esa.int/projects/soil-moisture

-Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019
type: Distribution
access URL: https://doi.org/10.5194/essd-11-717-2019
title: Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019

Algorithm Theoretical Baseline Document (ATBD) for v05.2 soil moisture data
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D2.1_v1_ATBD_v05.2.pdf

Product User Guide
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D4.2_v1_Product_Users_Guide_v05.2.pdf
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_D3.3.1_Product_Users_Guide_3.3.pdf

-Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2012.03.014
title: Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014

Wagner, 2012: FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
type: Distribution
access URL: http://publik.tuwien.ac.at/files/PubDat_209402.pdf

Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
type: Distribution
access URL: http://www.hydrol-earth-syst-sci.net/15/425/2011/hess-15-425-2011.html

Product Specification Document (PSD) D1.2.1 Version 3.3
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/ESA_CCI_SM_PSD_D1.2.1_version_3.3.pdf

Algorithm Theoretical Baseline Document (ATBD) D2.1 Version 03.3 Executive Summary
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_DL2.1_ATBD_v3.3_01_Executive_Summary.pdf

Met Office LIDARNET backscatter visualisation map
type: Distribution
access URL: http://www.metoffice.gov.uk/public/lidarnet/lcbr-network.html

Daily plots of Met Office LIDARNET Camborne Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/camborne/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Lerwick Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/lerwick/vaisala-cl31

Daily plots of Met Office LIDARNET Stornoway Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/stornoway/jenoptick-chm15k-nimbus

Daily plots of Met Office LIDARNET Glasgow Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/glasgow/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET loftus Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/loftus/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Portglenone Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/portglenone/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Rhyl Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/rhyl/raymetrics-lr111-d300

Data documentation
type: Distribution
access URL: https://doi.org/10.5281/zenodo.10958783

Journal Publication: Use of Abstraction and Discharge Data to Improve the Performance of a National-Scale Hydrological Model
type: Distribution
access URL: https://doi.org/10.1029/2021WR029787

Hydrological modelling and artificial influences: performance assessment & future scenarios. CS-NOW-D2 – Future water resources for water intensive energy infrastructure
type: Distribution
access URL: https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf

Centre for Environmental Data Analysis (CEDA)
type: Organization

Unavailable
type: Organization
member: Dorigo, Wouter

CCI Open Data Portal
type: Organization

Met Office
type: Organization

NERC EDS Centre for Environmental Data Analysis
type: Organization

Dorigo, Wouter
type: Agent

CEDA Data Catalogue Page
type: Distribution
access URL: https://catalogue.ceda.ac.uk/uuid/057dd6c36f0741d3b97f9eee688b7835
access URL: https://catalogue.ceda.ac.uk/uuid/1d28a3d5d74d4439a2be8938dfb550f8
access URL: https://catalogue.ceda.ac.uk/uuid/440c7db6c4d34d669b7bedc4d621e48e
access URL: https://catalogue.ceda.ac.uk/uuid/5b99157e20374ea0828598b8b3a24433
access URL: https://catalogue.ceda.ac.uk/uuid/984363c6d6d64a6b8f0e550262e158ee
access URL: https://catalogue.ceda.ac.uk/uuid/d1c2a98f588949889b19d0156b416063
access URL: https://catalogue.ceda.ac.uk/uuid/e8b02bf5b0324ca09c4993b3923e9135
access URL: https://catalogue.ceda.ac.uk/uuid/17e18421f0304ee3b02a96abf344ebe9
access URL: https://catalogue.ceda.ac.uk/uuid/a2e00ed1f3724db2b5ff24f17adf3811
access URL: https://catalogue.ceda.ac.uk/uuid/cf66055440344d7eb9b6f834e81736c6

DOWNLOAD
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v05.2
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/ancillary/v03.3/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/camborne/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/lerwick/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/stornoway/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/glasgow/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/loftus/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/portglenone/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/rhyl/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-proj-river-flows

Sample Image
type: Distribution

ESA Climate Change Initiative website
type: Distribution
access URL: https://climate.esa.int
access URL: https://climate.esa.int/

-Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2017.07.001
title: Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001

-Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
type: Distribution
access URL: https://doi.org/10.1109/TGRS.2017.2734070
title: Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070

ESA CCI Soil Moisture project website
type: Distribution
access URL: https://climate.esa.int/projects/soil-moisture

-Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019
type: Distribution
access URL: https://doi.org/10.5194/essd-11-717-2019
title: Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019

Algorithm Theoretical Baseline Document (ATBD) for v05.2 soil moisture data
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D2.1_v1_ATBD_v05.2.pdf

Product User Guide
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D4.2_v1_Product_Users_Guide_v05.2.pdf
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_D3.3.1_Product_Users_Guide_3.3.pdf

-Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2012.03.014
title: Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014

Wagner, 2012: FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
type: Distribution
access URL: http://publik.tuwien.ac.at/files/PubDat_209402.pdf

Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
type: Distribution
access URL: http://www.hydrol-earth-syst-sci.net/15/425/2011/hess-15-425-2011.html

Product Specification Document (PSD) D1.2.1 Version 3.3
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/ESA_CCI_SM_PSD_D1.2.1_version_3.3.pdf

Algorithm Theoretical Baseline Document (ATBD) D2.1 Version 03.3 Executive Summary
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_DL2.1_ATBD_v3.3_01_Executive_Summary.pdf

Met Office LIDARNET backscatter visualisation map
type: Distribution
access URL: http://www.metoffice.gov.uk/public/lidarnet/lcbr-network.html

Daily plots of Met Office LIDARNET Camborne Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/camborne/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Lerwick Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/lerwick/vaisala-cl31

Daily plots of Met Office LIDARNET Stornoway Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/stornoway/jenoptick-chm15k-nimbus

Daily plots of Met Office LIDARNET Glasgow Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/glasgow/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET loftus Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/loftus/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Portglenone Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/portglenone/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Rhyl Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/rhyl/raymetrics-lr111-d300

Data documentation
type: Distribution
access URL: https://doi.org/10.5281/zenodo.10958783

Journal Publication: Use of Abstraction and Discharge Data to Improve the Performance of a National-Scale Hydrological Model
type: Distribution
access URL: https://doi.org/10.1029/2021WR029787

Hydrological modelling and artificial influences: performance assessment & future scenarios. CS-NOW-D2 – Future water resources for water intensive energy infrastructure
type: Distribution
access URL: https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf

CEDA Data Catalogue Page
type: Distribution
access URL: https://catalogue.ceda.ac.uk/uuid/057dd6c36f0741d3b97f9eee688b7835
access URL: https://catalogue.ceda.ac.uk/uuid/1d28a3d5d74d4439a2be8938dfb550f8
access URL: https://catalogue.ceda.ac.uk/uuid/440c7db6c4d34d669b7bedc4d621e48e
access URL: https://catalogue.ceda.ac.uk/uuid/5b99157e20374ea0828598b8b3a24433
access URL: https://catalogue.ceda.ac.uk/uuid/984363c6d6d64a6b8f0e550262e158ee
access URL: https://catalogue.ceda.ac.uk/uuid/d1c2a98f588949889b19d0156b416063
access URL: https://catalogue.ceda.ac.uk/uuid/e8b02bf5b0324ca09c4993b3923e9135
access URL: https://catalogue.ceda.ac.uk/uuid/17e18421f0304ee3b02a96abf344ebe9
access URL: https://catalogue.ceda.ac.uk/uuid/a2e00ed1f3724db2b5ff24f17adf3811
access URL: https://catalogue.ceda.ac.uk/uuid/cf66055440344d7eb9b6f834e81736c6

DOWNLOAD
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v05.2
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/ancillary/v03.3/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/camborne/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/lerwick/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/stornoway/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/glasgow/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/loftus/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/portglenone/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/rhyl/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-proj-river-flows

Sample Image
type: Distribution

ESA Climate Change Initiative website
type: Distribution
access URL: https://climate.esa.int
access URL: https://climate.esa.int/

-Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2017.07.001
title: Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001

-Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
type: Distribution
access URL: https://doi.org/10.1109/TGRS.2017.2734070
title: Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070

ESA CCI Soil Moisture project website
type: Distribution
access URL: https://climate.esa.int/projects/soil-moisture

-Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019
type: Distribution
access URL: https://doi.org/10.5194/essd-11-717-2019
title: Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019

Algorithm Theoretical Baseline Document (ATBD) for v05.2 soil moisture data
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D2.1_v1_ATBD_v05.2.pdf

Product User Guide
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D4.2_v1_Product_Users_Guide_v05.2.pdf
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_D3.3.1_Product_Users_Guide_3.3.pdf

-Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2012.03.014
title: Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014

Wagner, 2012: FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
type: Distribution
access URL: http://publik.tuwien.ac.at/files/PubDat_209402.pdf

Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
type: Distribution
access URL: http://www.hydrol-earth-syst-sci.net/15/425/2011/hess-15-425-2011.html

Product Specification Document (PSD) D1.2.1 Version 3.3
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/ESA_CCI_SM_PSD_D1.2.1_version_3.3.pdf

Algorithm Theoretical Baseline Document (ATBD) D2.1 Version 03.3 Executive Summary
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_DL2.1_ATBD_v3.3_01_Executive_Summary.pdf

Met Office LIDARNET backscatter visualisation map
type: Distribution
access URL: http://www.metoffice.gov.uk/public/lidarnet/lcbr-network.html

Daily plots of Met Office LIDARNET Camborne Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/camborne/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Lerwick Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/lerwick/vaisala-cl31

Daily plots of Met Office LIDARNET Stornoway Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/stornoway/jenoptick-chm15k-nimbus

Daily plots of Met Office LIDARNET Glasgow Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/glasgow/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET loftus Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/loftus/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Portglenone Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/portglenone/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Rhyl Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/rhyl/raymetrics-lr111-d300

Data documentation
type: Distribution
access URL: https://doi.org/10.5281/zenodo.10958783

Journal Publication: Use of Abstraction and Discharge Data to Improve the Performance of a National-Scale Hydrological Model
type: Distribution
access URL: https://doi.org/10.1029/2021WR029787

Hydrological modelling and artificial influences: performance assessment & future scenarios. CS-NOW-D2 – Future water resources for water intensive energy infrastructure
type: Distribution
access URL: https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf

CEDA Data Catalogue Page
type: Distribution
access URL: https://catalogue.ceda.ac.uk/uuid/057dd6c36f0741d3b97f9eee688b7835
access URL: https://catalogue.ceda.ac.uk/uuid/1d28a3d5d74d4439a2be8938dfb550f8
access URL: https://catalogue.ceda.ac.uk/uuid/440c7db6c4d34d669b7bedc4d621e48e
access URL: https://catalogue.ceda.ac.uk/uuid/5b99157e20374ea0828598b8b3a24433
access URL: https://catalogue.ceda.ac.uk/uuid/984363c6d6d64a6b8f0e550262e158ee
access URL: https://catalogue.ceda.ac.uk/uuid/d1c2a98f588949889b19d0156b416063
access URL: https://catalogue.ceda.ac.uk/uuid/e8b02bf5b0324ca09c4993b3923e9135
access URL: https://catalogue.ceda.ac.uk/uuid/17e18421f0304ee3b02a96abf344ebe9
access URL: https://catalogue.ceda.ac.uk/uuid/a2e00ed1f3724db2b5ff24f17adf3811
access URL: https://catalogue.ceda.ac.uk/uuid/cf66055440344d7eb9b6f834e81736c6

DOWNLOAD
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v05.2
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/ancillary/v03.3/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/camborne/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/lerwick/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/stornoway/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/glasgow/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/loftus/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/portglenone/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/rhyl/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-proj-river-flows

Sample Image
type: Distribution

ESA Climate Change Initiative website
type: Distribution
access URL: https://climate.esa.int
access URL: https://climate.esa.int/

-Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2017.07.001
title: Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001

-Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
type: Distribution
access URL: https://doi.org/10.1109/TGRS.2017.2734070
title: Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070

ESA CCI Soil Moisture project website
type: Distribution
access URL: https://climate.esa.int/projects/soil-moisture

-Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019
type: Distribution
access URL: https://doi.org/10.5194/essd-11-717-2019
title: Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019

Algorithm Theoretical Baseline Document (ATBD) for v05.2 soil moisture data
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D2.1_v1_ATBD_v05.2.pdf

Product User Guide
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D4.2_v1_Product_Users_Guide_v05.2.pdf
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_D3.3.1_Product_Users_Guide_3.3.pdf

-Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2012.03.014
title: Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014

Wagner, 2012: FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
type: Distribution
access URL: http://publik.tuwien.ac.at/files/PubDat_209402.pdf

Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
type: Distribution
access URL: http://www.hydrol-earth-syst-sci.net/15/425/2011/hess-15-425-2011.html

Product Specification Document (PSD) D1.2.1 Version 3.3
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/ESA_CCI_SM_PSD_D1.2.1_version_3.3.pdf

Algorithm Theoretical Baseline Document (ATBD) D2.1 Version 03.3 Executive Summary
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_DL2.1_ATBD_v3.3_01_Executive_Summary.pdf

Met Office LIDARNET backscatter visualisation map
type: Distribution
access URL: http://www.metoffice.gov.uk/public/lidarnet/lcbr-network.html

Daily plots of Met Office LIDARNET Camborne Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/camborne/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Lerwick Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/lerwick/vaisala-cl31

Daily plots of Met Office LIDARNET Stornoway Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/stornoway/jenoptick-chm15k-nimbus

Daily plots of Met Office LIDARNET Glasgow Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/glasgow/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET loftus Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/loftus/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Portglenone Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/portglenone/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Rhyl Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/rhyl/raymetrics-lr111-d300

Data documentation
type: Distribution
access URL: https://doi.org/10.5281/zenodo.10958783

Journal Publication: Use of Abstraction and Discharge Data to Improve the Performance of a National-Scale Hydrological Model
type: Distribution
access URL: https://doi.org/10.1029/2021WR029787

Hydrological modelling and artificial influences: performance assessment & future scenarios. CS-NOW-D2 – Future water resources for water intensive energy infrastructure
type: Distribution
access URL: https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf

CEDA Data Catalogue Page
type: Distribution
access URL: https://catalogue.ceda.ac.uk/uuid/057dd6c36f0741d3b97f9eee688b7835
access URL: https://catalogue.ceda.ac.uk/uuid/1d28a3d5d74d4439a2be8938dfb550f8
access URL: https://catalogue.ceda.ac.uk/uuid/440c7db6c4d34d669b7bedc4d621e48e
access URL: https://catalogue.ceda.ac.uk/uuid/5b99157e20374ea0828598b8b3a24433
access URL: https://catalogue.ceda.ac.uk/uuid/984363c6d6d64a6b8f0e550262e158ee
access URL: https://catalogue.ceda.ac.uk/uuid/d1c2a98f588949889b19d0156b416063
access URL: https://catalogue.ceda.ac.uk/uuid/e8b02bf5b0324ca09c4993b3923e9135
access URL: https://catalogue.ceda.ac.uk/uuid/17e18421f0304ee3b02a96abf344ebe9
access URL: https://catalogue.ceda.ac.uk/uuid/a2e00ed1f3724db2b5ff24f17adf3811
access URL: https://catalogue.ceda.ac.uk/uuid/cf66055440344d7eb9b6f834e81736c6

DOWNLOAD
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v05.2
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/ancillary/v03.3/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/camborne/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/lerwick/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/stornoway/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/glasgow/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/loftus/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/portglenone/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/rhyl/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-proj-river-flows

Sample Image
type: Distribution

ESA Climate Change Initiative website
type: Distribution
access URL: https://climate.esa.int
access URL: https://climate.esa.int/

-Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2017.07.001
title: Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001

-Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
type: Distribution
access URL: https://doi.org/10.1109/TGRS.2017.2734070
title: Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070

ESA CCI Soil Moisture project website
type: Distribution
access URL: https://climate.esa.int/projects/soil-moisture

-Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019
type: Distribution
access URL: https://doi.org/10.5194/essd-11-717-2019
title: Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019

Algorithm Theoretical Baseline Document (ATBD) for v05.2 soil moisture data
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D2.1_v1_ATBD_v05.2.pdf

Product User Guide
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D4.2_v1_Product_Users_Guide_v05.2.pdf
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_D3.3.1_Product_Users_Guide_3.3.pdf

-Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2012.03.014
title: Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014

Wagner, 2012: FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
type: Distribution
access URL: http://publik.tuwien.ac.at/files/PubDat_209402.pdf

Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
type: Distribution
access URL: http://www.hydrol-earth-syst-sci.net/15/425/2011/hess-15-425-2011.html

Product Specification Document (PSD) D1.2.1 Version 3.3
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/ESA_CCI_SM_PSD_D1.2.1_version_3.3.pdf

Algorithm Theoretical Baseline Document (ATBD) D2.1 Version 03.3 Executive Summary
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_DL2.1_ATBD_v3.3_01_Executive_Summary.pdf

Met Office LIDARNET backscatter visualisation map
type: Distribution
access URL: http://www.metoffice.gov.uk/public/lidarnet/lcbr-network.html

Daily plots of Met Office LIDARNET Camborne Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/camborne/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Lerwick Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/lerwick/vaisala-cl31

Daily plots of Met Office LIDARNET Stornoway Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/stornoway/jenoptick-chm15k-nimbus

Daily plots of Met Office LIDARNET Glasgow Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/glasgow/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET loftus Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/loftus/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Portglenone Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/portglenone/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Rhyl Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/rhyl/raymetrics-lr111-d300

Data documentation
type: Distribution
access URL: https://doi.org/10.5281/zenodo.10958783

Journal Publication: Use of Abstraction and Discharge Data to Improve the Performance of a National-Scale Hydrological Model
type: Distribution
access URL: https://doi.org/10.1029/2021WR029787

Hydrological modelling and artificial influences: performance assessment & future scenarios. CS-NOW-D2 – Future water resources for water intensive energy infrastructure
type: Distribution
access URL: https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf

CEDA Data Catalogue Page
type: Distribution
access URL: https://catalogue.ceda.ac.uk/uuid/057dd6c36f0741d3b97f9eee688b7835
access URL: https://catalogue.ceda.ac.uk/uuid/1d28a3d5d74d4439a2be8938dfb550f8
access URL: https://catalogue.ceda.ac.uk/uuid/440c7db6c4d34d669b7bedc4d621e48e
access URL: https://catalogue.ceda.ac.uk/uuid/5b99157e20374ea0828598b8b3a24433
access URL: https://catalogue.ceda.ac.uk/uuid/984363c6d6d64a6b8f0e550262e158ee
access URL: https://catalogue.ceda.ac.uk/uuid/d1c2a98f588949889b19d0156b416063
access URL: https://catalogue.ceda.ac.uk/uuid/e8b02bf5b0324ca09c4993b3923e9135
access URL: https://catalogue.ceda.ac.uk/uuid/17e18421f0304ee3b02a96abf344ebe9
access URL: https://catalogue.ceda.ac.uk/uuid/a2e00ed1f3724db2b5ff24f17adf3811
access URL: https://catalogue.ceda.ac.uk/uuid/cf66055440344d7eb9b6f834e81736c6

DOWNLOAD
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v05.2
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/ancillary/v03.3/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/camborne/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/lerwick/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/stornoway/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/glasgow/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/loftus/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/portglenone/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/rhyl/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-proj-river-flows

Sample Image
type: Distribution

ESA Climate Change Initiative website
type: Distribution
access URL: https://climate.esa.int
access URL: https://climate.esa.int/

-Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2017.07.001
title: Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001

-Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
type: Distribution
access URL: https://doi.org/10.1109/TGRS.2017.2734070
title: Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070

ESA CCI Soil Moisture project website
type: Distribution
access URL: https://climate.esa.int/projects/soil-moisture

-Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019
type: Distribution
access URL: https://doi.org/10.5194/essd-11-717-2019
title: Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019

Algorithm Theoretical Baseline Document (ATBD) for v05.2 soil moisture data
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D2.1_v1_ATBD_v05.2.pdf

Product User Guide
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D4.2_v1_Product_Users_Guide_v05.2.pdf
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_D3.3.1_Product_Users_Guide_3.3.pdf

-Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2012.03.014
title: Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014

Wagner, 2012: FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
type: Distribution
access URL: http://publik.tuwien.ac.at/files/PubDat_209402.pdf

Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
type: Distribution
access URL: http://www.hydrol-earth-syst-sci.net/15/425/2011/hess-15-425-2011.html

Product Specification Document (PSD) D1.2.1 Version 3.3
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/ESA_CCI_SM_PSD_D1.2.1_version_3.3.pdf

Algorithm Theoretical Baseline Document (ATBD) D2.1 Version 03.3 Executive Summary
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_DL2.1_ATBD_v3.3_01_Executive_Summary.pdf

Met Office LIDARNET backscatter visualisation map
type: Distribution
access URL: http://www.metoffice.gov.uk/public/lidarnet/lcbr-network.html

Daily plots of Met Office LIDARNET Camborne Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/camborne/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Lerwick Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/lerwick/vaisala-cl31

Daily plots of Met Office LIDARNET Stornoway Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/stornoway/jenoptick-chm15k-nimbus

Daily plots of Met Office LIDARNET Glasgow Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/glasgow/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET loftus Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/loftus/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Portglenone Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/portglenone/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Rhyl Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/rhyl/raymetrics-lr111-d300

Data documentation
type: Distribution
access URL: https://doi.org/10.5281/zenodo.10958783

Journal Publication: Use of Abstraction and Discharge Data to Improve the Performance of a National-Scale Hydrological Model
type: Distribution
access URL: https://doi.org/10.1029/2021WR029787

Hydrological modelling and artificial influences: performance assessment & future scenarios. CS-NOW-D2 – Future water resources for water intensive energy infrastructure
type: Distribution
access URL: https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf

CEDA Data Catalogue Page
type: Distribution
access URL: https://catalogue.ceda.ac.uk/uuid/057dd6c36f0741d3b97f9eee688b7835
access URL: https://catalogue.ceda.ac.uk/uuid/1d28a3d5d74d4439a2be8938dfb550f8
access URL: https://catalogue.ceda.ac.uk/uuid/440c7db6c4d34d669b7bedc4d621e48e
access URL: https://catalogue.ceda.ac.uk/uuid/5b99157e20374ea0828598b8b3a24433
access URL: https://catalogue.ceda.ac.uk/uuid/984363c6d6d64a6b8f0e550262e158ee
access URL: https://catalogue.ceda.ac.uk/uuid/d1c2a98f588949889b19d0156b416063
access URL: https://catalogue.ceda.ac.uk/uuid/e8b02bf5b0324ca09c4993b3923e9135
access URL: https://catalogue.ceda.ac.uk/uuid/17e18421f0304ee3b02a96abf344ebe9
access URL: https://catalogue.ceda.ac.uk/uuid/a2e00ed1f3724db2b5ff24f17adf3811
access URL: https://catalogue.ceda.ac.uk/uuid/cf66055440344d7eb9b6f834e81736c6

DOWNLOAD
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v05.2
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/ancillary/v03.3/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/camborne/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/lerwick/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/stornoway/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/glasgow/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/loftus/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/portglenone/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/rhyl/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-proj-river-flows

Sample Image
type: Distribution

ESA Climate Change Initiative website
type: Distribution
access URL: https://climate.esa.int
access URL: https://climate.esa.int/

-Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2017.07.001
title: Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001

-Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
type: Distribution
access URL: https://doi.org/10.1109/TGRS.2017.2734070
title: Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070

ESA CCI Soil Moisture project website
type: Distribution
access URL: https://climate.esa.int/projects/soil-moisture

-Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019
type: Distribution
access URL: https://doi.org/10.5194/essd-11-717-2019
title: Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019

Algorithm Theoretical Baseline Document (ATBD) for v05.2 soil moisture data
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D2.1_v1_ATBD_v05.2.pdf

Product User Guide
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D4.2_v1_Product_Users_Guide_v05.2.pdf
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_D3.3.1_Product_Users_Guide_3.3.pdf

-Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2012.03.014
title: Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014

Wagner, 2012: FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
type: Distribution
access URL: http://publik.tuwien.ac.at/files/PubDat_209402.pdf

Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
type: Distribution
access URL: http://www.hydrol-earth-syst-sci.net/15/425/2011/hess-15-425-2011.html

Product Specification Document (PSD) D1.2.1 Version 3.3
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/ESA_CCI_SM_PSD_D1.2.1_version_3.3.pdf

Algorithm Theoretical Baseline Document (ATBD) D2.1 Version 03.3 Executive Summary
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_DL2.1_ATBD_v3.3_01_Executive_Summary.pdf

Met Office LIDARNET backscatter visualisation map
type: Distribution
access URL: http://www.metoffice.gov.uk/public/lidarnet/lcbr-network.html

Daily plots of Met Office LIDARNET Camborne Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/camborne/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Lerwick Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/lerwick/vaisala-cl31

Daily plots of Met Office LIDARNET Stornoway Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/stornoway/jenoptick-chm15k-nimbus

Daily plots of Met Office LIDARNET Glasgow Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/glasgow/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET loftus Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/loftus/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Portglenone Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/portglenone/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Rhyl Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/rhyl/raymetrics-lr111-d300

Data documentation
type: Distribution
access URL: https://doi.org/10.5281/zenodo.10958783

Journal Publication: Use of Abstraction and Discharge Data to Improve the Performance of a National-Scale Hydrological Model
type: Distribution
access URL: https://doi.org/10.1029/2021WR029787

Hydrological modelling and artificial influences: performance assessment & future scenarios. CS-NOW-D2 – Future water resources for water intensive energy infrastructure
type: Distribution
access URL: https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf

CEDA Data Catalogue Page
type: Distribution
access URL: https://catalogue.ceda.ac.uk/uuid/057dd6c36f0741d3b97f9eee688b7835
access URL: https://catalogue.ceda.ac.uk/uuid/1d28a3d5d74d4439a2be8938dfb550f8
access URL: https://catalogue.ceda.ac.uk/uuid/440c7db6c4d34d669b7bedc4d621e48e
access URL: https://catalogue.ceda.ac.uk/uuid/5b99157e20374ea0828598b8b3a24433
access URL: https://catalogue.ceda.ac.uk/uuid/984363c6d6d64a6b8f0e550262e158ee
access URL: https://catalogue.ceda.ac.uk/uuid/d1c2a98f588949889b19d0156b416063
access URL: https://catalogue.ceda.ac.uk/uuid/e8b02bf5b0324ca09c4993b3923e9135
access URL: https://catalogue.ceda.ac.uk/uuid/17e18421f0304ee3b02a96abf344ebe9
access URL: https://catalogue.ceda.ac.uk/uuid/a2e00ed1f3724db2b5ff24f17adf3811
access URL: https://catalogue.ceda.ac.uk/uuid/cf66055440344d7eb9b6f834e81736c6

DOWNLOAD
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v05.2
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/ancillary/v03.3/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/camborne/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/lerwick/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/stornoway/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/glasgow/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/loftus/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/portglenone/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/rhyl/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-proj-river-flows

Sample Image
type: Distribution

ESA Climate Change Initiative website
type: Distribution
access URL: https://climate.esa.int
access URL: https://climate.esa.int/

-Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2017.07.001
title: Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001

-Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
type: Distribution
access URL: https://doi.org/10.1109/TGRS.2017.2734070
title: Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070

ESA CCI Soil Moisture project website
type: Distribution
access URL: https://climate.esa.int/projects/soil-moisture

-Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019
type: Distribution
access URL: https://doi.org/10.5194/essd-11-717-2019
title: Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019

Algorithm Theoretical Baseline Document (ATBD) for v05.2 soil moisture data
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D2.1_v1_ATBD_v05.2.pdf

Product User Guide
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D4.2_v1_Product_Users_Guide_v05.2.pdf
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_D3.3.1_Product_Users_Guide_3.3.pdf

-Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2012.03.014
title: Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014

Wagner, 2012: FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
type: Distribution
access URL: http://publik.tuwien.ac.at/files/PubDat_209402.pdf

Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
type: Distribution
access URL: http://www.hydrol-earth-syst-sci.net/15/425/2011/hess-15-425-2011.html

Product Specification Document (PSD) D1.2.1 Version 3.3
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/ESA_CCI_SM_PSD_D1.2.1_version_3.3.pdf

Algorithm Theoretical Baseline Document (ATBD) D2.1 Version 03.3 Executive Summary
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_DL2.1_ATBD_v3.3_01_Executive_Summary.pdf

Met Office LIDARNET backscatter visualisation map
type: Distribution
access URL: http://www.metoffice.gov.uk/public/lidarnet/lcbr-network.html

Daily plots of Met Office LIDARNET Camborne Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/camborne/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Lerwick Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/lerwick/vaisala-cl31

Daily plots of Met Office LIDARNET Stornoway Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/stornoway/jenoptick-chm15k-nimbus

Daily plots of Met Office LIDARNET Glasgow Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/glasgow/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET loftus Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/loftus/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Portglenone Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/portglenone/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Rhyl Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/rhyl/raymetrics-lr111-d300

Data documentation
type: Distribution
access URL: https://doi.org/10.5281/zenodo.10958783

Journal Publication: Use of Abstraction and Discharge Data to Improve the Performance of a National-Scale Hydrological Model
type: Distribution
access URL: https://doi.org/10.1029/2021WR029787

Hydrological modelling and artificial influences: performance assessment & future scenarios. CS-NOW-D2 – Future water resources for water intensive energy infrastructure
type: Distribution
access URL: https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf

CEDA Data Catalogue Page
type: Distribution
access URL: https://catalogue.ceda.ac.uk/uuid/057dd6c36f0741d3b97f9eee688b7835
access URL: https://catalogue.ceda.ac.uk/uuid/1d28a3d5d74d4439a2be8938dfb550f8
access URL: https://catalogue.ceda.ac.uk/uuid/440c7db6c4d34d669b7bedc4d621e48e
access URL: https://catalogue.ceda.ac.uk/uuid/5b99157e20374ea0828598b8b3a24433
access URL: https://catalogue.ceda.ac.uk/uuid/984363c6d6d64a6b8f0e550262e158ee
access URL: https://catalogue.ceda.ac.uk/uuid/d1c2a98f588949889b19d0156b416063
access URL: https://catalogue.ceda.ac.uk/uuid/e8b02bf5b0324ca09c4993b3923e9135
access URL: https://catalogue.ceda.ac.uk/uuid/17e18421f0304ee3b02a96abf344ebe9
access URL: https://catalogue.ceda.ac.uk/uuid/a2e00ed1f3724db2b5ff24f17adf3811
access URL: https://catalogue.ceda.ac.uk/uuid/cf66055440344d7eb9b6f834e81736c6

DOWNLOAD
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v05.2
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/ancillary/v03.3/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/camborne/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/lerwick/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/stornoway/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/glasgow/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/loftus/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/portglenone/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/rhyl/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-proj-river-flows

Sample Image
type: Distribution

ESA Climate Change Initiative website
type: Distribution
access URL: https://climate.esa.int
access URL: https://climate.esa.int/

-Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2017.07.001
title: Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001

-Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
type: Distribution
access URL: https://doi.org/10.1109/TGRS.2017.2734070
title: Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070

ESA CCI Soil Moisture project website
type: Distribution
access URL: https://climate.esa.int/projects/soil-moisture

-Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019
type: Distribution
access URL: https://doi.org/10.5194/essd-11-717-2019
title: Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019

Algorithm Theoretical Baseline Document (ATBD) for v05.2 soil moisture data
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D2.1_v1_ATBD_v05.2.pdf

Product User Guide
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D4.2_v1_Product_Users_Guide_v05.2.pdf
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_D3.3.1_Product_Users_Guide_3.3.pdf

-Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2012.03.014
title: Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014

Wagner, 2012: FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
type: Distribution
access URL: http://publik.tuwien.ac.at/files/PubDat_209402.pdf

Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
type: Distribution
access URL: http://www.hydrol-earth-syst-sci.net/15/425/2011/hess-15-425-2011.html

Product Specification Document (PSD) D1.2.1 Version 3.3
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/ESA_CCI_SM_PSD_D1.2.1_version_3.3.pdf

Algorithm Theoretical Baseline Document (ATBD) D2.1 Version 03.3 Executive Summary
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_DL2.1_ATBD_v3.3_01_Executive_Summary.pdf

Met Office LIDARNET backscatter visualisation map
type: Distribution
access URL: http://www.metoffice.gov.uk/public/lidarnet/lcbr-network.html

Daily plots of Met Office LIDARNET Camborne Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/camborne/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Lerwick Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/lerwick/vaisala-cl31

Daily plots of Met Office LIDARNET Stornoway Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/stornoway/jenoptick-chm15k-nimbus

Daily plots of Met Office LIDARNET Glasgow Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/glasgow/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET loftus Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/loftus/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Portglenone Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/portglenone/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Rhyl Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/rhyl/raymetrics-lr111-d300

Data documentation
type: Distribution
access URL: https://doi.org/10.5281/zenodo.10958783

Journal Publication: Use of Abstraction and Discharge Data to Improve the Performance of a National-Scale Hydrological Model
type: Distribution
access URL: https://doi.org/10.1029/2021WR029787

Hydrological modelling and artificial influences: performance assessment & future scenarios. CS-NOW-D2 – Future water resources for water intensive energy infrastructure
type: Distribution
access URL: https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf

CEDA Data Catalogue Page
type: Distribution
access URL: https://catalogue.ceda.ac.uk/uuid/057dd6c36f0741d3b97f9eee688b7835
access URL: https://catalogue.ceda.ac.uk/uuid/1d28a3d5d74d4439a2be8938dfb550f8
access URL: https://catalogue.ceda.ac.uk/uuid/440c7db6c4d34d669b7bedc4d621e48e
access URL: https://catalogue.ceda.ac.uk/uuid/5b99157e20374ea0828598b8b3a24433
access URL: https://catalogue.ceda.ac.uk/uuid/984363c6d6d64a6b8f0e550262e158ee
access URL: https://catalogue.ceda.ac.uk/uuid/d1c2a98f588949889b19d0156b416063
access URL: https://catalogue.ceda.ac.uk/uuid/e8b02bf5b0324ca09c4993b3923e9135
access URL: https://catalogue.ceda.ac.uk/uuid/17e18421f0304ee3b02a96abf344ebe9
access URL: https://catalogue.ceda.ac.uk/uuid/a2e00ed1f3724db2b5ff24f17adf3811
access URL: https://catalogue.ceda.ac.uk/uuid/cf66055440344d7eb9b6f834e81736c6

DOWNLOAD
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v05.2
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/ancillary/v03.3/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/camborne/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/lerwick/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/stornoway/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/glasgow/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/loftus/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/portglenone/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/rhyl/raymetrics-lr111-d300/
access URL: http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-proj-river-flows

Sample Image
type: Distribution

ESA Climate Change Initiative website
type: Distribution
access URL: https://climate.esa.int
access URL: https://climate.esa.int/

-Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2017.07.001
title: Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001

-Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
type: Distribution
access URL: https://doi.org/10.1109/TGRS.2017.2734070
title: Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070

ESA CCI Soil Moisture project website
type: Distribution
access URL: https://climate.esa.int/projects/soil-moisture

-Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019
type: Distribution
access URL: https://doi.org/10.5194/essd-11-717-2019
title: Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019

Algorithm Theoretical Baseline Document (ATBD) for v05.2 soil moisture data
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D2.1_v1_ATBD_v05.2.pdf

Product User Guide
type: Distribution
access URL: https://data.cci.ceda.ac.uk/thredds/fileServer/esacci/soil_moisture/docs/v05.2/ESA_CCI_SM_RD_D4.2_v1_Product_Users_Guide_v05.2.pdf
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_D3.3.1_Product_Users_Guide_3.3.pdf

-Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014
type: Distribution
access URL: https://doi.org/10.1016/j.rse.2012.03.014
title: Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014

Wagner, 2012: FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
type: Distribution
access URL: http://publik.tuwien.ac.at/files/PubDat_209402.pdf

Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
type: Distribution
access URL: http://www.hydrol-earth-syst-sci.net/15/425/2011/hess-15-425-2011.html

Product Specification Document (PSD) D1.2.1 Version 3.3
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/ESA_CCI_SM_PSD_D1.2.1_version_3.3.pdf

Algorithm Theoretical Baseline Document (ATBD) D2.1 Version 03.3 Executive Summary
type: Distribution
access URL: http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v03.3/CCI2_Soil_Moisture_DL2.1_ATBD_v3.3_01_Executive_Summary.pdf

Met Office LIDARNET backscatter visualisation map
type: Distribution
access URL: http://www.metoffice.gov.uk/public/lidarnet/lcbr-network.html

Daily plots of Met Office LIDARNET Camborne Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/camborne/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Lerwick Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/lerwick/vaisala-cl31

Daily plots of Met Office LIDARNET Stornoway Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/stornoway/jenoptick-chm15k-nimbus

Daily plots of Met Office LIDARNET Glasgow Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/glasgow/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET loftus Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/loftus/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Portglenone Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/portglenone/raymetrics-lr111-d300

Daily plots of Met Office LIDARNET Rhyl Raymetrics LR111-D300 aerosol backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/rhyl/raymetrics-lr111-d300

Data documentation
type: Distribution
access URL: https://doi.org/10.5281/zenodo.10958783

Journal Publication: Use of Abstraction and Discharge Data to Improve the Performance of a National-Scale Hydrological Model
type: Distribution
access URL: https://doi.org/10.1029/2021WR029787

Hydrological modelling and artificial influences: performance assessment & future scenarios. CS-NOW-D2 – Future water resources for water intensive energy infrastructure
type: Distribution
access URL: https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf

FAAM C075 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
abstract: Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project.
keyword: PICASSO
keyword: FAAM
keyword: airborne
keyword: atmospheric measurments
theme: atmospheric conditions
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-3.808152198791504 50.76784896850586, -3.808152198791504 52.373077392578125, -0.37937185168266296 52.373077392578125, -0.37937185168266296 50.76784896850586, -3.808152198791504 50.76784896850586))
temporal: 2018-01-23T00:00:00 / 2018-01-23T23:59:59
issued: 2018-04-18T13:19:17
publisher: Facility for Airborne Atmospheric Measurements (FAAM)
publisher: Natural Environment Research Council (NERC)
publisher: Met Office
publisher: Centre for Environmental Data Analysis (CEDA)
publisher: Unavailable
accrual periodicity: asNeeded
language: eng
license: Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
license: Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
distribution: -CEDA Data Catalogue Page
distribution: -DOWNLOAD
distribution: -Flight summary file for FAAM BAE-146 flight C075
distribution: -Flight track for FAAM BAE-146 flight C075
data quality: Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the Centre for Environmental Data Analysis (CEDA).

primary topic: https://catalogue.ceda.ac.uk/uuid/733201b9c7a54bbba2f637328ab6e318 733201b9c7a54bbba2f637328ab6e318
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

FAAM C078 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
abstract: Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project.
keyword: PICASSO
keyword: FAAM
keyword: airborne
keyword: atmospheric measurments
theme: atmospheric conditions
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-4.39378023147583 50.9727897644043, -4.39378023147583 52.401248931884766, -0.291020005941391 52.401248931884766, -0.291020005941391 50.9727897644043, -4.39378023147583 50.9727897644043))
temporal: 2018-02-07T00:00:00 / 2018-02-07T23:59:59
issued: 2018-04-18T13:19:18
publisher: Facility for Airborne Atmospheric Measurements (FAAM)
publisher: Natural Environment Research Council (NERC)
publisher: Met Office
publisher: Centre for Environmental Data Analysis (CEDA)
publisher: Unavailable
accrual periodicity: asNeeded
language: eng
license: Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
license: Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
distribution: -CEDA Data Catalogue Page
distribution: -DOWNLOAD
data quality: Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the Centre for Environmental Data Analysis (CEDA).

atmospheric conditions
in scheme: GEMET - INSPIRE themes, version 1.0

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/130637c33a27475093552bf76c088150

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c106-may-17

Flight summary file for FAAM BAE-146 flight C106
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c106-may-17/flight-sum_faam_20180517_r0_c106.txt

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/18886f95ba84447f997efac96df456ad

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-actual-flows

Data Document
access URL: https://doi.org/10.5281/zenodo.13746897

Relevant Journal Publication
access URL: https://doi.org/10.1029/2021WR029787

Relevant Report Publication
access URL: https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf

Climate services for a Net Zero resilient world (CS-N0W): overview
access URL: https://www.gov.uk/government/collections/climate-services-for-a-net-zero-resilient-world

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/c39dfbe9ff574bf49b8e6d97a7715293

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c077-jan-29

Flight track for FAAM BAE-146 flight C077
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c077-jan-29/flight-track_faam_20180129_c077.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/dbbf8c12f3ad48309829735f7f2e6359

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24

Flight summary file for FAAM BAE-146 flight C076
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24/flight-sum_faam_20180124_r0_c076.txt

Flight track for FAAM BAE-146 flight C076
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24/flight-track_faam_20180124_c076.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/7b76a4b7b278441eb75b34265863cd80

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23

Flight summary file for FAAM BAE-146 flight C075
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23/flight-sum_faam_20180123_r0_c075.txt

Flight track for FAAM BAE-146 flight C075
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23/flight-track_faam_20180123_c075.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/733201b9c7a54bbba2f637328ab6e318

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c078-feb-07

Centre for Environmental Data Analysis (CEDA)

Facility for Airborne Atmospheric Measurements (FAAM)
member: unknown

Natural Environment Research Council (NERC)
member: unknown

Met Office

Unavailable
member: Dorigo, Wouter

NERC EDS Centre for Environmental Data Analysis

Archibald, Alex

atmospheric conditions
in scheme: GEMET - INSPIRE themes, version 1.0

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/130637c33a27475093552bf76c088150

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c106-may-17

Flight summary file for FAAM BAE-146 flight C106
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c106-may-17/flight-sum_faam_20180517_r0_c106.txt

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/18886f95ba84447f997efac96df456ad

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-actual-flows

Data Document
access URL: https://doi.org/10.5281/zenodo.13746897

Relevant Journal Publication
access URL: https://doi.org/10.1029/2021WR029787

Relevant Report Publication
access URL: https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf

Climate services for a Net Zero resilient world (CS-N0W): overview
access URL: https://www.gov.uk/government/collections/climate-services-for-a-net-zero-resilient-world

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/c39dfbe9ff574bf49b8e6d97a7715293

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c077-jan-29

Flight track for FAAM BAE-146 flight C077
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c077-jan-29/flight-track_faam_20180129_c077.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/dbbf8c12f3ad48309829735f7f2e6359

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24

Flight summary file for FAAM BAE-146 flight C076
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24/flight-sum_faam_20180124_r0_c076.txt

Flight track for FAAM BAE-146 flight C076
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24/flight-track_faam_20180124_c076.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/7b76a4b7b278441eb75b34265863cd80

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23

Flight summary file for FAAM BAE-146 flight C075
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23/flight-sum_faam_20180123_r0_c075.txt

Flight track for FAAM BAE-146 flight C075
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23/flight-track_faam_20180123_c075.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/733201b9c7a54bbba2f637328ab6e318

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c078-feb-07

Centre for Environmental Data Analysis (CEDA)

Facility for Airborne Atmospheric Measurements (FAAM)
member: unknown

Natural Environment Research Council (NERC)
member: unknown

Met Office

Unavailable
member: Dorigo, Wouter

NERC EDS Centre for Environmental Data Analysis

Archibald, Alex

atmospheric conditions
in scheme: GEMET - INSPIRE themes, version 1.0

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/130637c33a27475093552bf76c088150

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c106-may-17

Flight summary file for FAAM BAE-146 flight C106
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c106-may-17/flight-sum_faam_20180517_r0_c106.txt

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/18886f95ba84447f997efac96df456ad

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-actual-flows

Data Document
access URL: https://doi.org/10.5281/zenodo.13746897

Relevant Journal Publication
access URL: https://doi.org/10.1029/2021WR029787

Relevant Report Publication
access URL: https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf

Climate services for a Net Zero resilient world (CS-N0W): overview
access URL: https://www.gov.uk/government/collections/climate-services-for-a-net-zero-resilient-world

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/c39dfbe9ff574bf49b8e6d97a7715293

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c077-jan-29

Flight track for FAAM BAE-146 flight C077
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c077-jan-29/flight-track_faam_20180129_c077.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/dbbf8c12f3ad48309829735f7f2e6359

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24

Flight summary file for FAAM BAE-146 flight C076
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24/flight-sum_faam_20180124_r0_c076.txt

Flight track for FAAM BAE-146 flight C076
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24/flight-track_faam_20180124_c076.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/7b76a4b7b278441eb75b34265863cd80

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23

Flight summary file for FAAM BAE-146 flight C075
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23/flight-sum_faam_20180123_r0_c075.txt

Flight track for FAAM BAE-146 flight C075
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23/flight-track_faam_20180123_c075.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/733201b9c7a54bbba2f637328ab6e318

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c078-feb-07

Centre for Environmental Data Analysis (CEDA)

Facility for Airborne Atmospheric Measurements (FAAM)
member: unknown

Natural Environment Research Council (NERC)
member: unknown

Met Office

Unavailable
member: Dorigo, Wouter

NERC EDS Centre for Environmental Data Analysis

Archibald, Alex

atmospheric conditions
in scheme: GEMET - INSPIRE themes, version 1.0

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/130637c33a27475093552bf76c088150

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c106-may-17

Flight summary file for FAAM BAE-146 flight C106
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c106-may-17/flight-sum_faam_20180517_r0_c106.txt

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/18886f95ba84447f997efac96df456ad

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-actual-flows

Data Document
access URL: https://doi.org/10.5281/zenodo.13746897

Relevant Journal Publication
access URL: https://doi.org/10.1029/2021WR029787

Relevant Report Publication
access URL: https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf

Climate services for a Net Zero resilient world (CS-N0W): overview
access URL: https://www.gov.uk/government/collections/climate-services-for-a-net-zero-resilient-world

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/c39dfbe9ff574bf49b8e6d97a7715293

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c077-jan-29

Flight track for FAAM BAE-146 flight C077
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c077-jan-29/flight-track_faam_20180129_c077.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/dbbf8c12f3ad48309829735f7f2e6359

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24

Flight summary file for FAAM BAE-146 flight C076
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24/flight-sum_faam_20180124_r0_c076.txt

Flight track for FAAM BAE-146 flight C076
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24/flight-track_faam_20180124_c076.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/7b76a4b7b278441eb75b34265863cd80

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23

Flight summary file for FAAM BAE-146 flight C075
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23/flight-sum_faam_20180123_r0_c075.txt

Flight track for FAAM BAE-146 flight C075
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23/flight-track_faam_20180123_c075.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/733201b9c7a54bbba2f637328ab6e318

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c078-feb-07

Centre for Environmental Data Analysis (CEDA)

Facility for Airborne Atmospheric Measurements (FAAM)
member: unknown

Natural Environment Research Council (NERC)
member: unknown

Met Office

Unavailable
member: Dorigo, Wouter

NERC EDS Centre for Environmental Data Analysis

Archibald, Alex

atmospheric conditions
in scheme: GEMET - INSPIRE themes, version 1.0

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/130637c33a27475093552bf76c088150

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c106-may-17

Flight summary file for FAAM BAE-146 flight C106
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c106-may-17/flight-sum_faam_20180517_r0_c106.txt

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/18886f95ba84447f997efac96df456ad

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-actual-flows

Data Document
access URL: https://doi.org/10.5281/zenodo.13746897

Relevant Journal Publication
access URL: https://doi.org/10.1029/2021WR029787

Relevant Report Publication
access URL: https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf

Climate services for a Net Zero resilient world (CS-N0W): overview
access URL: https://www.gov.uk/government/collections/climate-services-for-a-net-zero-resilient-world

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/c39dfbe9ff574bf49b8e6d97a7715293

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c077-jan-29

Flight track for FAAM BAE-146 flight C077
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c077-jan-29/flight-track_faam_20180129_c077.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/dbbf8c12f3ad48309829735f7f2e6359

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24

Flight summary file for FAAM BAE-146 flight C076
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24/flight-sum_faam_20180124_r0_c076.txt

Flight track for FAAM BAE-146 flight C076
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24/flight-track_faam_20180124_c076.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/7b76a4b7b278441eb75b34265863cd80

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23

Flight summary file for FAAM BAE-146 flight C075
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23/flight-sum_faam_20180123_r0_c075.txt

Flight track for FAAM BAE-146 flight C075
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23/flight-track_faam_20180123_c075.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/733201b9c7a54bbba2f637328ab6e318

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c078-feb-07

Centre for Environmental Data Analysis (CEDA)

Facility for Airborne Atmospheric Measurements (FAAM)
member: unknown

Natural Environment Research Council (NERC)
member: unknown

Met Office

Unavailable
member: Dorigo, Wouter

NERC EDS Centre for Environmental Data Analysis

Archibald, Alex

atmospheric conditions
in scheme: GEMET - INSPIRE themes, version 1.0

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/130637c33a27475093552bf76c088150

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c106-may-17

Flight summary file for FAAM BAE-146 flight C106
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c106-may-17/flight-sum_faam_20180517_r0_c106.txt

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/18886f95ba84447f997efac96df456ad

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/desnz-cs-now/data/gridded-actual-flows

Data Document
access URL: https://doi.org/10.5281/zenodo.13746897

Relevant Journal Publication
access URL: https://doi.org/10.1029/2021WR029787

Relevant Report Publication
access URL: https://assets.publishing.service.gov.uk/media/672359d201ee25b06c4f9987/future-water-resources-hydrological-modelling.pdf

Climate services for a Net Zero resilient world (CS-N0W): overview
access URL: https://www.gov.uk/government/collections/climate-services-for-a-net-zero-resilient-world

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/c39dfbe9ff574bf49b8e6d97a7715293

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c077-jan-29

Flight track for FAAM BAE-146 flight C077
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c077-jan-29/flight-track_faam_20180129_c077.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/dbbf8c12f3ad48309829735f7f2e6359

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24

Flight summary file for FAAM BAE-146 flight C076
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24/flight-sum_faam_20180124_r0_c076.txt

Flight track for FAAM BAE-146 flight C076
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c076-jan-24/flight-track_faam_20180124_c076.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/7b76a4b7b278441eb75b34265863cd80

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23

Flight summary file for FAAM BAE-146 flight C075
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23/flight-sum_faam_20180123_r0_c075.txt

Flight track for FAAM BAE-146 flight C075
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c075-jan-23/flight-track_faam_20180123_c075.kml

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/733201b9c7a54bbba2f637328ab6e318

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/faam/data/2018/c078-feb-07

Centre for Environmental Data Analysis (CEDA)

Facility for Airborne Atmospheric Measurements (FAAM)
member: unknown

Natural Environment Research Council (NERC)
member: unknown

Met Office

Unavailable
member: Dorigo, Wouter

NERC EDS Centre for Environmental Data Analysis

Archibald, Alex