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ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED Product, Version 05.2
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 Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
Public data: access to these data is available to both registered and non-registered users.
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.
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 .
https://catalogue.ceda.ac.uk/uuid/1d28a3d5d74d4439a2be8938dfb550f8 1d28a3d5d74d4439a2be8938dfb550f8
ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the "Active", "Passive" and "Combined" products, Version 03.3
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 Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014
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 )
https://catalogue.ceda.ac.uk/uuid/440c7db6c4d34d669b7bedc4d621e48e 440c7db6c4d34d669b7bedc4d621e48e
Met Office LIDARNET Camborne Raymetrics LR111-D300 lidar profile data
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.
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.
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.
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.
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.
Met Office LIDARNET Lerwick Raymetrics LR111-D300 lidar profile data
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.
Met Office LIDARNET Stornoway Raymetrics LR111-D300 lidar profile data
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.
Met Office LIDARNET Glasgow Raymetrics LR111-D300 lidar profile data
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.
Met Office LIDARNET Loftus Raymetrics LR111-D300 lidar profile data
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.
https://catalogue.ceda.ac.uk/uuid/17e18421f0304ee3b02a96abf344ebe9 17e18421f0304ee3b02a96abf344ebe9
Met Office LIDARNET Portglenone Raymetrics LR111-D300 lidar profile data
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.
https://catalogue.ceda.ac.uk/uuid/a2e00ed1f3724db2b5ff24f17adf3811 a2e00ed1f3724db2b5ff24f17adf3811
Met Office LIDARNET Rhyl Raymetrics LR111-D300 lidar profile data
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.
CS-NOW: Gridded future projections of natural and artificially influenced river flows (1980 to 2080)
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.
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.
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
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
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
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
Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
Product Specification Document (PSD) D1.2.1 Version 3.3
Algorithm Theoretical Baseline Document (ATBD) D2.1 Version 03.3 Executive Summary
Met Office LIDARNET backscatter visualisation map
Daily plots of Met Office LIDARNET Camborne Raymetrics LR111-D300 aerosol backscatter data
Daily plots of Met Office LIDARNET Lerwick Vaisala CL31 ceilometer cloud base and backscatter data
Daily plots of Met Office LIDARNET Stornoway Raymetrics LR111-D300 aerosol backscatter data
Daily plots of Met Office LIDARNET Glasgow Raymetrics LR111-D300 aerosol backscatter data
Daily plots of Met Office LIDARNET loftus Raymetrics LR111-D300 aerosol backscatter data
Daily plots of Met Office LIDARNET Portglenone Raymetrics LR111-D300 aerosol backscatter data
Daily plots of Met Office LIDARNET Rhyl Raymetrics LR111-D300 aerosol backscatter data
Journal Publication: Use of Abstraction and Discharge Data to Improve the Performance of a National-Scale Hydrological Model
Hydrological modelling and artificial influences: performance assessment & future scenarios. CS-NOW-D2 – Future water resources for water intensive energy infrastructure
Centre for Environmental Data Analysis (CEDA)
NERC EDS Centre for Environmental Data Analysis
FAAM C106 ACSIS flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft
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.
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the Centre for Environmental Data Analysis (CEDA).
Gridded actual groundwater, surface water and tidal water abstraction, discharge and Hands-off Flow datasets for England (1999 to 2014)
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.
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
https://catalogue.ceda.ac.uk/uuid/c39dfbe9ff574bf49b8e6d97a7715293 c39dfbe9ff574bf49b8e6d97a7715293
FAAM C077 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
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.
FAAM C076 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
FAAM C075 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
FAAM C078 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
Flight summary file for FAAM BAE-146 flight C106
Climate services for a Net Zero resilient world (CS-N0W): overview
Flight track for FAAM BAE-146 flight C077
Flight summary file for FAAM BAE-146 flight C076
Flight track for FAAM BAE-146 flight C076
Flight summary file for FAAM BAE-146 flight C075
Flight track for FAAM BAE-146 flight C075
Facility for Airborne Atmospheric Measurements (FAAM)
Natural Environment Research Council (NERC)