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(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/2af9a044083e4a7c861ba33799733497 2af9a044083e4a7c861ba33799733497
dataset: http://data.bgs.ac.uk/id/dataHolding/13608173
dataset: http://data.bgs.ac.uk/id/dataHolding/13607024
dataset: https://catalogue.ceda.ac.uk/uuid/a238d3f76ce140bcab27848354f075c7 a238d3f76ce140bcab27848354f075c7 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.hus.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.rlut.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.rlutcs.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.rsdscs.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.rsdt.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.rsuscs.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.rsut.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.rsutcs.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.ta.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.ts.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.fx.orog.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.fx.sftlf.gn.v20200625.v20200625
dataset: http://data.bgs.ac.uk/id/dataHolding/13607149
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dataset: http://data.bgs.ac.uk/id/dataHolding/13605650
dataset: https://catalogue.ceda.ac.uk/uuid/ea7a4cbe7b83450bb7a00bf3761c40d7 ea7a4cbe7b83450bb7a00bf3761c40d7
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dataset: https://catalogue.ceda.ac.uk/uuid/3067b11c3666539d84de8ce7405a4985 3067b11c3666539d84de8ce7405a4985
dataset: http://data.bgs.ac.uk/id/dataHolding/13606732
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dataset: https://catalogue.ceda.ac.uk/uuid/9b34ccfd4def4b9f8f05869c58b10db9 9b34ccfd4def4b9f8f05869c58b10db9 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.6hrPlev.psl.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.6hrPlevPt.zg.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.clt.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.hfls.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.hfss.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.hur.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.hurs.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.hus.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.huss.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.pr.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.prc.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.prsn.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.ps.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.psl.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.rlds.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.rlus.gr.v20201216.v20201216 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.rlut.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10
dataset: CSR5940
dataset: https://catalogue.ceda.ac.uk/uuid/66c3d2f8203449cbbef46b6d648c3f0d 66c3d2f8203449cbbef46b6d648c3f0d
dataset: My organization
dataset: Continents, countries, sea regions of the world.
dataset: FAAM B567 RONOCO flight, number 13: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
dataset: Tasiilaq hydrothermal graphite, nitrogen content (NERC Grant NE/V010824/1)
dataset: Chemical analysis data derived from NERC grant NE/I025573/1, When on Earth did modern plate tectonics begin?
dataset: WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the "piClim-ghg" experiment
dataset: UKCCSRC Call 1 Project final report: Oxyfuel and exhaust gas recirculation processes in gas turbine combustion for improved carbon capture performance
dataset: Met Office LIDARNET Leuchars Vaisala CL31 ceilometer cloud base and backscatter data
dataset: BIRPS (British Institutes Reflection Profiling Syndicate) 3DEPR-ARAD seismic data (1997)
dataset: ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Grounding Line Locations from SAR Interferometry, v1.3
dataset: WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the "faf-heat" experiment
dataset: Euroclim500 - Causes of change in European mean and extreme climate over the past 500 years: HadCM3 model output from the GHG experiment
dataset: atmospheric conditions
dataset: Nitrogen
dataset: Graphite
dataset: Tectonics
dataset: Chemical analysis
dataset: Carbon capture and storage
dataset: Seismic surveys
dataset: Geological surveys
dataset: Marine geology
dataset: Marine geophysics
dataset: Marine seismic surveys
dataset: Seismic data
dataset: Seismic reflection surveys
dataset: Geological data
dataset: Geology
dataset: Marine surveys
dataset: Sea floor
dataset: Geophysical data
dataset: Geophysical surveys
dataset: orthoimagery
dataset: CEDA Data Catalogue Page
dataset: DOWNLOAD
dataset: Flight log for FAAM BAE-146 flight B567
dataset: Flight summary file for FAAM BAE-146 flight B567
dataset: Flight track for FAAM BAE-146 flight B567
dataset: Data
dataset: BGS Homepage
dataset: CMIP6 Errata Service
dataset: CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the piClim-ghg run with ACCESS-ESM1-5 model.
dataset: Detailed experiment description for: "effective radiative forcing by present-day greenhouse gases" (piClim-ghg)
dataset: WCRP CMIP6 Home Page
dataset: CEDA CMIP6 Guide
dataset: -Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292
dataset: WWW:DOWNLOAD-1.0-http--download-
dataset: Met Office LIDARNET backscatter visualisation map
dataset: Daily plots of Met Office LIDARNET Leuchars Vaisala CL31 ceilometer cloud base and backscatter data
dataset: Product User Guide
dataset: The ESA Greenland Ice Sheet CCI Project
dataset: ESA Climate Change Initiative website
dataset: Sample Image
dataset: CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the faf-heat run with MPI-ESM1-2-HR model.
dataset: Detailed experiment description for: "control plus perturbative surface flux of heat into ocean" (faf-heat)
dataset: -Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570
dataset: UK Open government data license
dataset: Schurer, A P., G. C. Hegerl, M. E. Mann, S. F. B. Tett, S. J. Phipps, 2013: Separating Forced from Chaotic Climate Variability over the Past Millennium paper
dataset: Euroclim500 Documentaton directory

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/2af9a044083e4a7c861ba33799733497
type: CatalogRecord
primary topic: https://catalogue.ceda.ac.uk/uuid/2af9a044083e4a7c861ba33799733497 2af9a044083e4a7c861ba33799733497
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

FAAM B567 RONOCO flight, number 13: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
type: Dataset
abstract: Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft during flight 13 for RONOCO: ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere Consortium Project project.
keyword: RONOCO
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((-2.297102451324463 52.8247184753418, -2.297102451324463 56.6356315612793, 0.5537862777709961 56.6356315612793, 0.5537862777709961 52.8247184753418, -2.297102451324463 52.8247184753418))
temporal: 2011-01-18T01:20:04 / 2011-01-18T10:50:23
issued: 2014-07-14T13:38:12
publisher: Facility for Airborne Atmospheric Measurements (FAAM)
publisher: Natural Environment Research Council (NERC)
publisher: Met Office
publisher: NCAS British Atmospheric Data Centre (NCAS BADC)
publisher: Unavailable
accrual periodicity: notPlanned
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 log for FAAM BAE-146 flight B567
distribution: Flight summary file for FAAM BAE-146 flight B567
distribution: Flight track for FAAM BAE-146 flight B567
data quality: Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the NCAS British Atmospheric Data Centre.

Tasiilaq hydrothermal graphite, nitrogen content (NERC Grant NE/V010824/1)
type: Dataset
abstract: Measurements of the nitrogen content of hydrothermal graphite deposits and associated silicate rocks. The samples are of Paleoproterozoic age and allow constraining the behavior of nitrogen in abiotic hydrothermal graphite-forming systems. The results provide context for evaluating the biogenicity of Eoarchean graphite. More details are presented in Stüeken, E.E., Szilas, K. and van Hinsberg, V.J., 2023, Chemical Geology, 617, p.121274.
keyword: NERC_DDC
keyword: NGDC Deposited Data
theme: Nitrogen
theme: Graphite
theme: Geology
theme: geoscientificInformation
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-36.9900 65.7900, -36.9900 65.8900, -36.9300 65.8900, -36.9300 65.7900, -36.9900 65.7900))
temporal: 2021-11-01 / 2022-05-27
issued: 2023-12-18
publisher: University of St Andrews
publisher: British Geological Survey
accrual periodicity: notApplicable
language: eng
license: The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
license: Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
license: licenceOGL
distribution: Data
data quality: Gas source mass spectrometry conducted on decarbonated rock powders

Chemical analysis data derived from NERC grant NE/I025573/1, When on Earth did modern plate tectonics begin?
type: Dataset
abstract: Earth is a dynamic planet, for the simple reason that it is still cooling down from the heat of accretion and subsequent decay of radioactive elements. The main mechanism by which it loses heat is plate tectonics, a theory that has been widely accepted since the 1970s. The Earth is formed of a dense metallic core surrounded by a partially molten silicate mantle which itself is capped by a buoyant crust, either continental or oceanic. We live on the continental crust which largely exists above sea level. The ocean crust forms the floors of oceans and is only rarely exposed. The ocean crust forms by mantle melting at mid ocean ridges, such as the mid Atlantic ridge upon which sits the volcanic island of Iceland. New crust is constantly formed, forcing the older crust to spread outwards and oceans to grow larger. As the ocean crust spreads away from the ridge, it cools and becomes denser. Eventually it interacts with a continent, made of less dense material. The ocean crust is driven beneath the continent back into the mantle, a process known as subduction. Volcanoes form along the continental margin above the subduction zone and at least some of this activity results in addition of new continental crust. This may have been the main process responsible for initial formation and subsequent evolution of our continents. It can be observed now around the margin of the Pacific Ocean, where widespread volcanism is known as the "Ring of Fire". However, not all oceans can continue to grow! The Atlantic Ocean has stopped getting bigger as a response to the continued growth of the Pacific. Eventually, an ocean will close completely and the surrounding continents will collide, resulting in a linear mountain chain. A good example is the Himalaya, where India has collided with Asia. This whole process known as plate tectonics has a profound affect on our planet, providing us with land on which to live, seas in which to fish, freshwater to drink and our complex weather patterns. It …
keyword: NERC_DDC
keyword: NGDC Deposited Data
theme: Tectonics
theme: Chemical analysis
theme: Geology
theme: geoscientificInformation
issued: 2015-08
publisher: University of Portsmouth
accrual periodicity: notApplicable
language: eng
license: The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
license: There are no restrictions on the use that may be made of the dataset, although an appropriate copyright acknowledgement must be made when any part of the dataset is reproduced. Either no third party data / information is contained in the dataset or BGS has secured written permission from the owner of any third party data / information contained in the dataset to make the dataset freely available without any use constraints - inclusion of any third party data / information will affect the copyright acknowledgement that needs to be made.
license: intellectualPropertyRights
license: Either : (i) the dataset has not been formally approved by BGS for access and use by external clients under license; and / or (ii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted before the dataset can be provided to, or accessed by, BGS staff or external clients. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant access restrictions. This staff member should revert to the IPR Section (IPR@bgs.ac.uk) for advice, should the position not be clear.
distribution: BGS Homepage
data quality: No lineage information provided.

http://localhost:8080/geonetwork/records/a238d3f76ce140bcab27848354f075c7
type: CatalogRecord
primary topic: https://catalogue.ceda.ac.uk/uuid/a238d3f76ce140bcab27848354f075c7 a238d3f76ce140bcab27848354f075c7 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.hus.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.rlut.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.rlutcs.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.rsdscs.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.rsdt.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.rsuscs.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.rsut.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.rsutcs.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.ta.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.Amon.ts.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.fx.orog.gn.v20200625.v20200625 CMIP6.RFMIP.CSIRO.ACCESS-ESM1-5.piClim-ghg.r1i1p1f1.fx.sftlf.gn.v20200625.v20200625
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the "piClim-ghg" experiment
type: Dataset
abstract: The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the "effective radiative forcing by present-day greenhouse gases" (piClim-ghg) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble member: r1i1p1f1. CMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6). The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.
keyword: CMIP6
keyword: WCRP
keyword: climate change
keyword: CSIRO
keyword: ACCESS-ESM1-5
keyword: piClim-ghg
keyword: Amon
keyword: fx
theme: atmospheric conditions
theme: climatologyMeteorologyAtmosphere
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: 0121-01-16T12:00:00 / 0150-12-16T12:00:00
issued: 2021-12-22T19:11:22
publisher: Commonwealth Scientific and Industrial Research Organisation (CSIRO)
publisher: NERC EDS Centre for Environmental Data Analysis
accrual periodicity: asNeeded
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/CMIP6_Terms_of_Use.pdf, appropriate use of these data may fall under unclassified 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: CMIP6 Errata Service
distribution: CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the piClim-ghg run with ACCESS-ESM1-5 model.
distribution: Detailed experiment description for: "effective radiative forcing by present-day greenhouse gases" (piClim-ghg)
distribution: WCRP CMIP6 Home Page
distribution: CEDA CMIP6 Guide
distribution: -Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292
data quality: Data were produced and verified by Commonwealth Scientific and Industrial Research Organisation (CSIRO) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).

UKCCSRC Call 1 Project final report: Oxyfuel and exhaust gas recirculation processes in gas turbine combustion for improved carbon capture performance
type: Dataset
abstract: This poster on the UKCCSRC Call 1 project Oxyfuel and exhaust gas recirculation processes in gas turbine combustion for improved carbon capture performance was presented at the CSLF Call project poster reception, London, 27.06.16. Grant number: UKCCSRC-C1-26. This research is concerned with oxyfuel combustion in gas turbine applications, in particular concentrating on the use of modern swirl-stabilised burners. Oxyfuel is considered a particularly challenging idea, since the resultant burning velocity and flame temperatures will be significantly higher than what might be deemed as a practical or workable technology. For this reason it is widely accepted that EGR-derived CO2 will be used as a diluent and moderator for the reaction (in essence replacing the role of atmospheric nitrogen). The key challenges in developing oxyfuel gas turbine technology are therefore: • Flame stability at high temperatures and burning rates. • The use of CO2 as a combustion diluent. • Potential for CO emission into the capture plant. • Wide or variable operating envelopes across diluent concentrations. • Differences in the properties of N2 and CO2 giving rise to previously unmeasured flame heat release locations.
keyword: NERC_DDC
keyword: NGDC Deposited Data
keyword: UKCCS
theme: Carbon capture and storage
theme: Geology
theme: geoscientificInformation
temporal: 2013-03 / 2014-08
issued: 2014-08
publisher: University of Cardiff
accrual periodicity: notApplicable
language: eng
license: The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
license: Either: (i) the dataset is made freely available, e.g. via the Internet, for a restricted category of use (e.g. educational use only); or (ii) the dataset has not been formally approved by BGS for access and use by external clients under licence, but its use may be permitted under alternative formal arrangements; or (iii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted in order to determine the permitted usage of the dataset. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant use restrictions. This staff member should revert to the IPR Section (ipr@bgs.ac.uk) for advice, should the position not be clear.
license: intellectualPropertyRights
license: Either : (i) the dataset has not been formally approved by BGS for access and use by external clients under license; and / or (ii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted before the dataset can be provided to, or accessed by, BGS staff or external clients. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant access restrictions. This staff member should revert to the IPR Section (IPR@bgs.ac.uk) for advice, should the position not be clear.
distribution: WWW:DOWNLOAD-1.0-http--download-
data quality: UKCCSRC Call 1 project, grant number: UKCCSRC-C1-26, Lead institution: Cardiff University

http://localhost:8080/geonetwork/records/61db15842de947e890a98a58fb3b03f3
type: CatalogRecord
primary topic: https://catalogue.ceda.ac.uk/uuid/61db15842de947e890a98a58fb3b03f3 61db15842de947e890a98a58fb3b03f3
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

Met Office LIDARNET Leuchars Vaisala CL31 ceilometer cloud base and backscatter data
type: Dataset
abstract: Cloud base and backscatter data from the Met Office's Leuchars Cl31 ceilometer located at Leuchars, St Andrews. The Met Office's laser cloud base recorders network (LCBRs), or ceilometers, returns 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.
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((-2.867 56.383, -2.867 56.383, -2.867 56.383, -2.867 56.383, -2.867 56.383))
temporal: 2015-07-13T08:00:07 /
issued: 2015-07-29T15:25:11
publisher: Met Office
publisher: Centre for Environmental Data Analysis (CEDA)
accrual periodicity: daily
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 Leuchars 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.

BIRPS (British Institutes Reflection Profiling Syndicate) 3DEPR-ARAD seismic data (1997)
type: Dataset
abstract: The 3D multi channel seismic data were acquired as part of a collaborative investigation into models of magmatic segmentation between the Scripps Institute of Oceanography and BIRPS (the British Institutions Reflection Profiling Syndicate). The 3D EPR (East Pacific Rise) ARAD (Anatomy of a Ridge Axis Discontinuity) EW9707 cruise was undertaken in September and October 1997 to provide both refelction and wide-angle seismic data for the study of the overlapping spreading centre (OSC) at 9 degrees 3 minutes N on the East Pacific Rise. The data were acquired with a single source and a single streamer with a nominal line spacing of 100 m. The 3D-EPR ARAD survey was a joint NERC/NSF (US National Science Foundation) funded project and the copyright for this survey is held jointly. Reference: Bazin, S. Harding, AJ. et al. (2001) Three-dimensional shallow crustal emplacement at the 9 degree 03 minute N overlapping spreading center on the East Pacific Rise, Journal of Geophysical Research.
keyword: NERC_DDC
keyword: data.gov.uk (non-INSPIRE)
keyword: MEDIN
theme: Seismic surveys
theme: Geological surveys
theme: Marine geology
theme: Marine geophysics
theme: Marine seismic surveys
theme: Seismic data
theme: Seismic reflection surveys
theme: Geological data
theme: Geology
theme: Marine surveys
theme: Sea floor
theme: Geophysical data
theme: Geophysical surveys
theme: geoscientificInformation
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-104.5000 8.9000, -104.5000 9.1000, -104.0000 9.1000, -104.0000 8.9000, -104.5000 8.9000))
temporal: 1997-09 / 1997-10
issued: 1997
publisher: Natural Enironmental Research Council
publisher: British Geological Survey
accrual periodicity: notPlanned
granularity: 250000
language: eng
license: The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
license: Either: (i) the dataset is made freely available, e.g. via the Internet, for a restricted category of use (e.g. educational use only); or (ii) the dataset has not been formally approved by BGS for access and use by external clients under licence, but its use may be permitted under alternative formal arrangements; or (iii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted in order to determine the permitted usage of the dataset. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant use restrictions. This staff member should revert to the IPR Section (ipr@bgs.ac.uk) for advice, should the position not be clear.
license: BIRPS data is made freely available subject to distribution charge costs (if required). The 3D-EPR survey was a joint NERC/NSF (US National Science Foundation) funded project and the copyright for this survey is held jointly. The copyright of this data is vested in the Natural Environment Research Council [NERC]/National Science Foundation [NSF]. Permission is granted for use of these data for research purposes, but no part of these data may be commercially sold, used to provide a value added commercial product nor form part of a commercial data package. Any commercial use of products derived from these data requires prior written permission of the copyright holder. NERC/NSF gives no warranty, expressed or implied, as to the quality or accuracy of the data, or to the material's suitability for any use. NERC/NSF accepts no liability whatever in respect of loss, damage, injury or other occurrence. The data have been vetted for compliance with relevant standards. NERC/NSF accepts no responsibility for maintenance nor technical support. The following acknowledgement must accompany the reproduced NERC/NSF materials "Contains Natural Environment Research Council and National Science Foundation materials ©NERC, NSF [year]"
distribution: BGS Homepage
data quality: The data were acquired with a single source and a single streamer with a nominal line spacing of 100 m. The data were acquired in September to October 1997 and processed subsequently.

http://localhost:8080/geonetwork/records/ea7a4cbe7b83450bb7a00bf3761c40d7
type: CatalogRecord
primary topic: https://catalogue.ceda.ac.uk/uuid/ea7a4cbe7b83450bb7a00bf3761c40d7 ea7a4cbe7b83450bb7a00bf3761c40d7
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Grounding Line Locations from SAR Interferometry, v1.3
type: Dataset
abstract: This dataset contains grounding lines for 5 North Greenland glaciers, derived from generated from ERS -1/-2 and Sentinel-1 SAR (Synthetic Aperture Radar) interferometry. This version of the dataset (v1.3) has been extended with grounding lines for 2017. Data was produced as part of the ESA Greenland Ice Sheets Climate Change Initiative (CCI) project by ENVEO, Austria. The grounding line is the separation point between the floating and grounded parts of the glacier. Processes at the grounding lines of floating marine termini of glaciers and ice streams are important for understanding the response of the ice masses to changing boundary conditions and for establishing realistic scenarios for the response to climate change. The grounding line location product is derived from InSAR data by mapping the tidal flexure and is generated for a selection of the few glaciers in Greenland, which have a floating tongue. In general, the true location of the grounding line is unknown, and therefore validation is difficult for this product. Remote sensing observations do not provide direct measurement on the transition from floating to grounding ice (the grounding line). The satellite data deliver observations on ice surface features (e.g. tidal deformation by InSAR, spatial changes in texture and shading in optical images) that are indirect indicators for estimating the position of the grounding line. Due to the plasticity of ice these indicators spread out over a zone upstream and downstream of the grounding line, the tidal flexure zone (also called grounding zone).
keyword: Greenland
keyword: Ice Sheet
keyword: CCI
keyword: ESA
keyword: ice sheets
keyword: ERS-1
keyword: ERS-2
keyword: Sentinel-1A
keyword: Sentinel-1B
keyword: AMI-SAR
keyword: SAR-C (Sentinel-1)
theme: orthoimagery
theme: imageryBaseMapsEarthCover
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-80.0 60.0, -80.0 90.0, -10.0 90.0, -10.0 60.0, -80.0 60.0))
temporal: 1995-08-27T23:00:00 / 2017-03-16T23:59:59
issued: 2018-11-28T16:54:15
publisher: ESA Greenland Ice Sheet CCI project team
publisher: Centre for Environmental Data Analysis (CEDA)
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_icesheets_greenland_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: The ESA Greenland Ice Sheet CCI Project
distribution: ESA Climate Change Initiative website
distribution: Sample Image
data quality: Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.

http://localhost:8080/geonetwork/records/810026cceb2b4a15906d5f1bd29b88ab
type: CatalogRecord
primary topic: https://catalogue.ceda.ac.uk/uuid/810026cceb2b4a15906d5f1bd29b88ab 810026cceb2b4a15906d5f1bd29b88ab CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.3hr.tos.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.6hrPlevPt.ts.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Amon.ts.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.CF3hr.ts.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Eday.ts.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Oday.tos.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Ofx.deptho.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Ofx.masscello.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Ofx.thkcello.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Ofx.volcello.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Omon.masscello.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Omon.masso.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Omon.msftbarot.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Omon.msftmz.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Omon.so.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Omon.tauuo.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Omon.tauvo.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Omon.thetao.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Omon.thkcello.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Omon.tos.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Omon.umo.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-HR.faf-heat.r1i1p1f1.Omon.uo.gn.v20191231.v20191231 CMIP6.FAFMIP.MPI-M.MPI-ESM1-2-H
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the "faf-heat" experiment
type: Dataset
abstract: The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the "control plus perturbative surface flux of heat into ocean" (faf-heat) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, CF3hr, Eday, Oday, Ofx and Omon. The runs included the ensemble member: r1i1p1f1. CMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6). The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.
keyword: CMIP6
keyword: WCRP
keyword: climate change
keyword: MPI-M
keyword: MPI-ESM1-2-HR
keyword: faf-heat
keyword: 3hr
keyword: 6hrPlevPt
keyword: Amon
keyword: CF3hr
keyword: Eday
keyword: Oday
keyword: Ofx
keyword: Omon
theme: atmospheric conditions
theme: climatologyMeteorologyAtmosphere
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: 1850-01-01T03:00:00 / 1920-01-01T00:00:00
issued: 2020-07-07T15:19:14
publisher: Max Planck Institute for Meteorology (MPI-M)
publisher: Centre for Environmental Data Analysis (CEDA)
accrual periodicity: asNeeded
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/CMIP6_Terms_of_Use.pdf, appropriate use of these data may fall under unclassified 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: CMIP6 Errata Service
distribution: CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the faf-heat run with MPI-ESM1-2-HR model.
distribution: Detailed experiment description for: "control plus perturbative surface flux of heat into ocean" (faf-heat)
distribution: WCRP CMIP6 Home Page
distribution: CEDA CMIP6 Guide
distribution: -Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570
data quality: Data were produced and verified by Max Planck Institute for Meteorology (MPI-M) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).

http://localhost:8080/geonetwork/records/3067b11c3666539d84de8ce7405a4985
type: CatalogRecord
primary topic: https://catalogue.ceda.ac.uk/uuid/3067b11c3666539d84de8ce7405a4985 3067b11c3666539d84de8ce7405a4985
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

Euroclim500 - Causes of change in European mean and extreme climate over the past 500 years: HadCM3 model output from the GHG experiment
type: Dataset
abstract: Numerical climate output from the GHG experiment run of the HadCM3 climate model as part of the NERC funded Euroclim500 project: Causes of change in European mean and extreme climate over the past 500 years. These data were produced by Andrew Schurer, Mike Mineter and Simon Tett using the HadCM3 climate model on the HECTOR supercomputer at the University of Edinburgh. This dataset includes data from 4 ensembles, r1 to r4. All ensembles ran with the following constant forcing set (bracketed dates indicate the year or range of constant forcing): Solar (1400), LUSE (1400), O3 (pre-industrial levels) and Orb (1400). The data are available in CF-netCDF to all registered users under the UK Government Open Data License.
keyword: HadCM3
keyword: Climate
theme: atmospheric conditions
theme: climatologyMeteorologyAtmosphere
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: 1400-01-01T00:01:15 / 2000-12-31T00:00:00
issued: 2013-08-20T09:51:36
publisher: Unavailable
publisher: NCAS British Atmospheric Data Centre (NCAS BADC)
accrual periodicity: notPlanned
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: UK Open government data license
distribution: Schurer, A P., G. C. Hegerl, M. E. Mann, S. F. B. Tett, S. J. Phipps, 2013: Separating Forced from Chaotic Climate Variability over the Past Millennium paper
distribution: Euroclim500 Documentaton directory
distribution: Scripting for data download via ftp
data quality: Data produced on HECTOR computer at Edinburgh using HadCM3 model by Mike Mineter and Andrew Schurer during 2011/12, and converted from pp to cf-netcdf format. These files then supplied to BADC as they were produced by Andrew Schurer.

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

Nitrogen
type: Concept
in scheme: BGS Thesaurus of Geosciences

Graphite
type: Concept
in scheme: BGS Thesaurus of Geosciences

Tectonics
type: Concept
in scheme: BGS Thesaurus of Geosciences

Chemical analysis
type: Concept
in scheme: BGS Thesaurus of Geosciences

Carbon capture and storage
type: Concept
in scheme: BGS Thesaurus of Geosciences

Seismic surveys
type: Concept
in scheme: BGS Thesaurus of Geosciences

Geological surveys
type: Concept
in scheme: BGS Thesaurus of Geosciences

Marine geology
type: Concept
in scheme: BGS Thesaurus of Geosciences

Marine geophysics
type: Concept
in scheme: BGS Thesaurus of Geosciences

Marine seismic surveys
type: Concept
in scheme: BGS Thesaurus of Geosciences

Seismic data
type: Concept
in scheme: BGS Thesaurus of Geosciences

Seismic reflection surveys
type: Concept
in scheme: BGS Thesaurus of Geosciences

Geological data
type: Concept
in scheme: BGS Thesaurus of Geosciences

Geology
type: Concept
in scheme: BGS Thesaurus of Geosciences

Marine surveys
type: Concept
in scheme: BGS Thesaurus of Geosciences

Sea floor
type: Concept
in scheme: BGS Thesaurus of Geosciences

Geophysical data
type: Concept
in scheme: BGS Thesaurus of Geosciences

Geophysical surveys
type: Concept
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orthoimagery
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CEDA Data Catalogue Page
type: Distribution
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DOWNLOAD
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18
access URL: http://data.ceda.ac.uk/badc/cmip6/data/CMIP6/RFMIP/CSIRO/ACCESS-ESM1-5/piClim-ghg
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access URL: http://data.ceda.ac.uk/badc/euroclim500/data/GHG

Flight log for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-log_faam_20110118_r0_b567.pdf

Flight summary file for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-sum_faam_20110118_r0_b567.txt

Flight track for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-track_faam_20110118_b567.kml

Data
type: Distribution
access URL: https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item183518
format: WWW:DOWNLOAD-1.0-http--download

BGS Homepage
type: Distribution
access URL: https://www.bgs.ac.uk/
format: WWW:LINK-1.0-http--link

CMIP6 Errata Service
type: Distribution
access URL: https://errata.es-doc.org/

CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the piClim-ghg run with ACCESS-ESM1-5 model.
type: Distribution
access URL: https://explore.es-doc.org/cmip6/further-info

Detailed experiment description for: "effective radiative forcing by present-day greenhouse gases" (piClim-ghg)
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access URL: https://view.es-doc.org/

WCRP CMIP6 Home Page
type: Distribution
access URL: https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6

CEDA CMIP6 Guide
type: Distribution
access URL: https://help.ceda.ac.uk/article/4801-cmip6-data

-Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292
type: Distribution
access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292

WWW:DOWNLOAD-1.0-http--download-
type: Distribution
access URL: https://ukccs-research.org/accessions/index.html#item75709
format: WWW:DOWNLOAD-1.0-http--download

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 Leuchars Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/leuchars/vaisala-cl31

Product User Guide
type: Distribution
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The ESA Greenland Ice Sheet CCI Project
type: Distribution
access URL: http://www.esa-icesheets-cci.org/

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

Sample Image
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CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the faf-heat run with MPI-ESM1-2-HR model.
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Detailed experiment description for: "control plus perturbative surface flux of heat into ocean" (faf-heat)
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access URL: https://view.es-doc.org/

-Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570
type: Distribution
access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570

UK Open government data license
type: Distribution
access URL: https://www.nationalarchives.gov.uk/doc/open-government-licence/

Schurer, A P., G. C. Hegerl, M. E. Mann, S. F. B. Tett, S. J. Phipps, 2013: Separating Forced from Chaotic Climate Variability over the Past Millennium paper
type: Distribution
access URL: http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-12-00826.1

Euroclim500 Documentaton directory
type: Distribution
access URL: http://data.ceda.ac.uk/badc/euroclim500/doc/

Scripting for data download via ftp
type: Distribution
access URL: https://help.ceda.ac.uk/article/281-ftp-with-python-and-perl

NCAS British Atmospheric Data Centre (NCAS BADC)
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Facility for Airborne Atmospheric Measurements (FAAM)
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member: unknown

Natural Environment Research Council (NERC)
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Met Office
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Unavailable
type: Organization
member: Jones, Rod

British Geological Survey
type: Organization
member: Eva Elisabeth Stueeken

University of St Andrews
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member: Eva Elisabeth Stueeken

University of Portsmouth
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member: Eva Elisabeth Stueeken

NERC EDS Centre for Environmental Data Analysis
type: Organization

Commonwealth Scientific and Industrial Research Organisation (CSIRO)
type: Organization
member: unknown

University of Cardiff
type: Organization
member: Eva Elisabeth Stueeken

Centre for Environmental Data Analysis (CEDA)
type: Organization

Natural Enironmental Research Council
type: Organization
member: Eva Elisabeth Stueeken

ESA Greenland Ice Sheet CCI project team
type: Organization
member: unknown

Max Planck Institute for Meteorology (MPI-M)
type: Organization
member: unknown

Jones, Rod
type: Agent

Eva Elisabeth Stueeken
type: Agent

CEDA Data Catalogue Page
type: Distribution
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DOWNLOAD
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18
access URL: http://data.ceda.ac.uk/badc/cmip6/data/CMIP6/RFMIP/CSIRO/ACCESS-ESM1-5/piClim-ghg
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/leuchars/vaisala-cl31
access URL: http://data.ceda.ac.uk/neodc/esacci/ice_sheets_greenland/data/greenland_grounding_line_locations/v1.3/
access URL: http://data.ceda.ac.uk/badc/cmip6/data/CMIP6/FAFMIP/MPI-M/MPI-ESM1-2-HR/faf-heat
access URL: http://data.ceda.ac.uk/badc/euroclim500/data/GHG

Flight log for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-log_faam_20110118_r0_b567.pdf

Flight summary file for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-sum_faam_20110118_r0_b567.txt

Flight track for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-track_faam_20110118_b567.kml

Data
type: Distribution
access URL: https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item183518
format: WWW:DOWNLOAD-1.0-http--download

BGS Homepage
type: Distribution
access URL: https://www.bgs.ac.uk/
format: WWW:LINK-1.0-http--link

CMIP6 Errata Service
type: Distribution
access URL: https://errata.es-doc.org/

CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the piClim-ghg run with ACCESS-ESM1-5 model.
type: Distribution
access URL: https://explore.es-doc.org/cmip6/further-info

Detailed experiment description for: "effective radiative forcing by present-day greenhouse gases" (piClim-ghg)
type: Distribution
access URL: https://view.es-doc.org/

WCRP CMIP6 Home Page
type: Distribution
access URL: https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6

CEDA CMIP6 Guide
type: Distribution
access URL: https://help.ceda.ac.uk/article/4801-cmip6-data

-Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292
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access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292

WWW:DOWNLOAD-1.0-http--download-
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format: WWW:DOWNLOAD-1.0-http--download

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 Leuchars Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/leuchars/vaisala-cl31

Product User Guide
type: Distribution
access URL: http://www.esa-icesheets-greenland-cci.org/index.php

The ESA Greenland Ice Sheet CCI Project
type: Distribution
access URL: http://www.esa-icesheets-cci.org/

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

Sample Image
type: Distribution

CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the faf-heat run with MPI-ESM1-2-HR model.
type: Distribution
access URL: https://explore.es-doc.org/cmip6/further-info

Detailed experiment description for: "control plus perturbative surface flux of heat into ocean" (faf-heat)
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access URL: https://view.es-doc.org/

-Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570
type: Distribution
access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570

UK Open government data license
type: Distribution
access URL: https://www.nationalarchives.gov.uk/doc/open-government-licence/

Schurer, A P., G. C. Hegerl, M. E. Mann, S. F. B. Tett, S. J. Phipps, 2013: Separating Forced from Chaotic Climate Variability over the Past Millennium paper
type: Distribution
access URL: http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-12-00826.1

Euroclim500 Documentaton directory
type: Distribution
access URL: http://data.ceda.ac.uk/badc/euroclim500/doc/

Scripting for data download via ftp
type: Distribution
access URL: https://help.ceda.ac.uk/article/281-ftp-with-python-and-perl

CEDA Data Catalogue Page
type: Distribution
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DOWNLOAD
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access URL: http://data.ceda.ac.uk/badc/cmip6/data/CMIP6/RFMIP/CSIRO/ACCESS-ESM1-5/piClim-ghg
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access URL: http://data.ceda.ac.uk/badc/cmip6/data/CMIP6/FAFMIP/MPI-M/MPI-ESM1-2-HR/faf-heat
access URL: http://data.ceda.ac.uk/badc/euroclim500/data/GHG

Flight log for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-log_faam_20110118_r0_b567.pdf

Flight summary file for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-sum_faam_20110118_r0_b567.txt

Flight track for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-track_faam_20110118_b567.kml

Data
type: Distribution
access URL: https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item183518
format: WWW:DOWNLOAD-1.0-http--download

BGS Homepage
type: Distribution
access URL: https://www.bgs.ac.uk/
format: WWW:LINK-1.0-http--link

CMIP6 Errata Service
type: Distribution
access URL: https://errata.es-doc.org/

CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the piClim-ghg run with ACCESS-ESM1-5 model.
type: Distribution
access URL: https://explore.es-doc.org/cmip6/further-info

Detailed experiment description for: "effective radiative forcing by present-day greenhouse gases" (piClim-ghg)
type: Distribution
access URL: https://view.es-doc.org/

WCRP CMIP6 Home Page
type: Distribution
access URL: https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6

CEDA CMIP6 Guide
type: Distribution
access URL: https://help.ceda.ac.uk/article/4801-cmip6-data

-Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292
type: Distribution
access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292

WWW:DOWNLOAD-1.0-http--download-
type: Distribution
access URL: https://ukccs-research.org/accessions/index.html#item75709
format: WWW:DOWNLOAD-1.0-http--download

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 Leuchars Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/leuchars/vaisala-cl31

Product User Guide
type: Distribution
access URL: http://www.esa-icesheets-greenland-cci.org/index.php

The ESA Greenland Ice Sheet CCI Project
type: Distribution
access URL: http://www.esa-icesheets-cci.org/

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

Sample Image
type: Distribution

CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the faf-heat run with MPI-ESM1-2-HR model.
type: Distribution
access URL: https://explore.es-doc.org/cmip6/further-info

Detailed experiment description for: "control plus perturbative surface flux of heat into ocean" (faf-heat)
type: Distribution
access URL: https://view.es-doc.org/

-Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570
type: Distribution
access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570

UK Open government data license
type: Distribution
access URL: https://www.nationalarchives.gov.uk/doc/open-government-licence/

Schurer, A P., G. C. Hegerl, M. E. Mann, S. F. B. Tett, S. J. Phipps, 2013: Separating Forced from Chaotic Climate Variability over the Past Millennium paper
type: Distribution
access URL: http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-12-00826.1

Euroclim500 Documentaton directory
type: Distribution
access URL: http://data.ceda.ac.uk/badc/euroclim500/doc/

Scripting for data download via ftp
type: Distribution
access URL: https://help.ceda.ac.uk/article/281-ftp-with-python-and-perl

CEDA Data Catalogue Page
type: Distribution
access URL: https://catalogue.ceda.ac.uk/uuid/2af9a044083e4a7c861ba33799733497
access URL: https://catalogue.ceda.ac.uk/uuid/a238d3f76ce140bcab27848354f075c7
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access URL: https://catalogue.ceda.ac.uk/uuid/3067b11c3666539d84de8ce7405a4985

DOWNLOAD
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18
access URL: http://data.ceda.ac.uk/badc/cmip6/data/CMIP6/RFMIP/CSIRO/ACCESS-ESM1-5/piClim-ghg
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/leuchars/vaisala-cl31
access URL: http://data.ceda.ac.uk/neodc/esacci/ice_sheets_greenland/data/greenland_grounding_line_locations/v1.3/
access URL: http://data.ceda.ac.uk/badc/cmip6/data/CMIP6/FAFMIP/MPI-M/MPI-ESM1-2-HR/faf-heat
access URL: http://data.ceda.ac.uk/badc/euroclim500/data/GHG

Flight log for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-log_faam_20110118_r0_b567.pdf

Flight summary file for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-sum_faam_20110118_r0_b567.txt

Flight track for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-track_faam_20110118_b567.kml

Data
type: Distribution
access URL: https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item183518
format: WWW:DOWNLOAD-1.0-http--download

BGS Homepage
type: Distribution
access URL: https://www.bgs.ac.uk/
format: WWW:LINK-1.0-http--link

CMIP6 Errata Service
type: Distribution
access URL: https://errata.es-doc.org/

CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the piClim-ghg run with ACCESS-ESM1-5 model.
type: Distribution
access URL: https://explore.es-doc.org/cmip6/further-info

Detailed experiment description for: "effective radiative forcing by present-day greenhouse gases" (piClim-ghg)
type: Distribution
access URL: https://view.es-doc.org/

WCRP CMIP6 Home Page
type: Distribution
access URL: https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6

CEDA CMIP6 Guide
type: Distribution
access URL: https://help.ceda.ac.uk/article/4801-cmip6-data

-Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292
type: Distribution
access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292

WWW:DOWNLOAD-1.0-http--download-
type: Distribution
access URL: https://ukccs-research.org/accessions/index.html#item75709
format: WWW:DOWNLOAD-1.0-http--download

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 Leuchars Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/leuchars/vaisala-cl31

Product User Guide
type: Distribution
access URL: http://www.esa-icesheets-greenland-cci.org/index.php

The ESA Greenland Ice Sheet CCI Project
type: Distribution
access URL: http://www.esa-icesheets-cci.org/

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

Sample Image
type: Distribution

CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the faf-heat run with MPI-ESM1-2-HR model.
type: Distribution
access URL: https://explore.es-doc.org/cmip6/further-info

Detailed experiment description for: "control plus perturbative surface flux of heat into ocean" (faf-heat)
type: Distribution
access URL: https://view.es-doc.org/

-Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570
type: Distribution
access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570

UK Open government data license
type: Distribution
access URL: https://www.nationalarchives.gov.uk/doc/open-government-licence/

Schurer, A P., G. C. Hegerl, M. E. Mann, S. F. B. Tett, S. J. Phipps, 2013: Separating Forced from Chaotic Climate Variability over the Past Millennium paper
type: Distribution
access URL: http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-12-00826.1

Euroclim500 Documentaton directory
type: Distribution
access URL: http://data.ceda.ac.uk/badc/euroclim500/doc/

Scripting for data download via ftp
type: Distribution
access URL: https://help.ceda.ac.uk/article/281-ftp-with-python-and-perl

CEDA Data Catalogue Page
type: Distribution
access URL: https://catalogue.ceda.ac.uk/uuid/2af9a044083e4a7c861ba33799733497
access URL: https://catalogue.ceda.ac.uk/uuid/a238d3f76ce140bcab27848354f075c7
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DOWNLOAD
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18
access URL: http://data.ceda.ac.uk/badc/cmip6/data/CMIP6/RFMIP/CSIRO/ACCESS-ESM1-5/piClim-ghg
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/leuchars/vaisala-cl31
access URL: http://data.ceda.ac.uk/neodc/esacci/ice_sheets_greenland/data/greenland_grounding_line_locations/v1.3/
access URL: http://data.ceda.ac.uk/badc/cmip6/data/CMIP6/FAFMIP/MPI-M/MPI-ESM1-2-HR/faf-heat
access URL: http://data.ceda.ac.uk/badc/euroclim500/data/GHG

Flight log for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-log_faam_20110118_r0_b567.pdf

Flight summary file for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-sum_faam_20110118_r0_b567.txt

Flight track for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-track_faam_20110118_b567.kml

Data
type: Distribution
access URL: https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item183518
format: WWW:DOWNLOAD-1.0-http--download

BGS Homepage
type: Distribution
access URL: https://www.bgs.ac.uk/
format: WWW:LINK-1.0-http--link

CMIP6 Errata Service
type: Distribution
access URL: https://errata.es-doc.org/

CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the piClim-ghg run with ACCESS-ESM1-5 model.
type: Distribution
access URL: https://explore.es-doc.org/cmip6/further-info

Detailed experiment description for: "effective radiative forcing by present-day greenhouse gases" (piClim-ghg)
type: Distribution
access URL: https://view.es-doc.org/

WCRP CMIP6 Home Page
type: Distribution
access URL: https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6

CEDA CMIP6 Guide
type: Distribution
access URL: https://help.ceda.ac.uk/article/4801-cmip6-data

-Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292
type: Distribution
access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292

WWW:DOWNLOAD-1.0-http--download-
type: Distribution
access URL: https://ukccs-research.org/accessions/index.html#item75709
format: WWW:DOWNLOAD-1.0-http--download

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 Leuchars Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/leuchars/vaisala-cl31

Product User Guide
type: Distribution
access URL: http://www.esa-icesheets-greenland-cci.org/index.php

The ESA Greenland Ice Sheet CCI Project
type: Distribution
access URL: http://www.esa-icesheets-cci.org/

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

Sample Image
type: Distribution

CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the faf-heat run with MPI-ESM1-2-HR model.
type: Distribution
access URL: https://explore.es-doc.org/cmip6/further-info

Detailed experiment description for: "control plus perturbative surface flux of heat into ocean" (faf-heat)
type: Distribution
access URL: https://view.es-doc.org/

-Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570
type: Distribution
access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570

UK Open government data license
type: Distribution
access URL: https://www.nationalarchives.gov.uk/doc/open-government-licence/

Schurer, A P., G. C. Hegerl, M. E. Mann, S. F. B. Tett, S. J. Phipps, 2013: Separating Forced from Chaotic Climate Variability over the Past Millennium paper
type: Distribution
access URL: http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-12-00826.1

Euroclim500 Documentaton directory
type: Distribution
access URL: http://data.ceda.ac.uk/badc/euroclim500/doc/

Scripting for data download via ftp
type: Distribution
access URL: https://help.ceda.ac.uk/article/281-ftp-with-python-and-perl

CEDA Data Catalogue Page
type: Distribution
access URL: https://catalogue.ceda.ac.uk/uuid/2af9a044083e4a7c861ba33799733497
access URL: https://catalogue.ceda.ac.uk/uuid/a238d3f76ce140bcab27848354f075c7
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access URL: https://catalogue.ceda.ac.uk/uuid/3067b11c3666539d84de8ce7405a4985

DOWNLOAD
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18
access URL: http://data.ceda.ac.uk/badc/cmip6/data/CMIP6/RFMIP/CSIRO/ACCESS-ESM1-5/piClim-ghg
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/leuchars/vaisala-cl31
access URL: http://data.ceda.ac.uk/neodc/esacci/ice_sheets_greenland/data/greenland_grounding_line_locations/v1.3/
access URL: http://data.ceda.ac.uk/badc/cmip6/data/CMIP6/FAFMIP/MPI-M/MPI-ESM1-2-HR/faf-heat
access URL: http://data.ceda.ac.uk/badc/euroclim500/data/GHG

Flight log for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-log_faam_20110118_r0_b567.pdf

Flight summary file for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-sum_faam_20110118_r0_b567.txt

Flight track for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-track_faam_20110118_b567.kml

Data
type: Distribution
access URL: https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item183518
format: WWW:DOWNLOAD-1.0-http--download

BGS Homepage
type: Distribution
access URL: https://www.bgs.ac.uk/
format: WWW:LINK-1.0-http--link

CMIP6 Errata Service
type: Distribution
access URL: https://errata.es-doc.org/

CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the piClim-ghg run with ACCESS-ESM1-5 model.
type: Distribution
access URL: https://explore.es-doc.org/cmip6/further-info

Detailed experiment description for: "effective radiative forcing by present-day greenhouse gases" (piClim-ghg)
type: Distribution
access URL: https://view.es-doc.org/

WCRP CMIP6 Home Page
type: Distribution
access URL: https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6

CEDA CMIP6 Guide
type: Distribution
access URL: https://help.ceda.ac.uk/article/4801-cmip6-data

-Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292
type: Distribution
access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292

WWW:DOWNLOAD-1.0-http--download-
type: Distribution
access URL: https://ukccs-research.org/accessions/index.html#item75709
format: WWW:DOWNLOAD-1.0-http--download

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 Leuchars Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/leuchars/vaisala-cl31

Product User Guide
type: Distribution
access URL: http://www.esa-icesheets-greenland-cci.org/index.php

The ESA Greenland Ice Sheet CCI Project
type: Distribution
access URL: http://www.esa-icesheets-cci.org/

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

Sample Image
type: Distribution

CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the faf-heat run with MPI-ESM1-2-HR model.
type: Distribution
access URL: https://explore.es-doc.org/cmip6/further-info

Detailed experiment description for: "control plus perturbative surface flux of heat into ocean" (faf-heat)
type: Distribution
access URL: https://view.es-doc.org/

-Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570
type: Distribution
access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570

UK Open government data license
type: Distribution
access URL: https://www.nationalarchives.gov.uk/doc/open-government-licence/

Schurer, A P., G. C. Hegerl, M. E. Mann, S. F. B. Tett, S. J. Phipps, 2013: Separating Forced from Chaotic Climate Variability over the Past Millennium paper
type: Distribution
access URL: http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-12-00826.1

Euroclim500 Documentaton directory
type: Distribution
access URL: http://data.ceda.ac.uk/badc/euroclim500/doc/

Scripting for data download via ftp
type: Distribution
access URL: https://help.ceda.ac.uk/article/281-ftp-with-python-and-perl

CEDA Data Catalogue Page
type: Distribution
access URL: https://catalogue.ceda.ac.uk/uuid/2af9a044083e4a7c861ba33799733497
access URL: https://catalogue.ceda.ac.uk/uuid/a238d3f76ce140bcab27848354f075c7
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DOWNLOAD
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18
access URL: http://data.ceda.ac.uk/badc/cmip6/data/CMIP6/RFMIP/CSIRO/ACCESS-ESM1-5/piClim-ghg
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/data/leuchars/vaisala-cl31
access URL: http://data.ceda.ac.uk/neodc/esacci/ice_sheets_greenland/data/greenland_grounding_line_locations/v1.3/
access URL: http://data.ceda.ac.uk/badc/cmip6/data/CMIP6/FAFMIP/MPI-M/MPI-ESM1-2-HR/faf-heat
access URL: http://data.ceda.ac.uk/badc/euroclim500/data/GHG

Flight log for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-log_faam_20110118_r0_b567.pdf

Flight summary file for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-sum_faam_20110118_r0_b567.txt

Flight track for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-track_faam_20110118_b567.kml

Data
type: Distribution
access URL: https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item183518
format: WWW:DOWNLOAD-1.0-http--download

BGS Homepage
type: Distribution
access URL: https://www.bgs.ac.uk/
format: WWW:LINK-1.0-http--link

CMIP6 Errata Service
type: Distribution
access URL: https://errata.es-doc.org/

CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the piClim-ghg run with ACCESS-ESM1-5 model.
type: Distribution
access URL: https://explore.es-doc.org/cmip6/further-info

Detailed experiment description for: "effective radiative forcing by present-day greenhouse gases" (piClim-ghg)
type: Distribution
access URL: https://view.es-doc.org/

WCRP CMIP6 Home Page
type: Distribution
access URL: https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6

CEDA CMIP6 Guide
type: Distribution
access URL: https://help.ceda.ac.uk/article/4801-cmip6-data

-Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292
type: Distribution
access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292

WWW:DOWNLOAD-1.0-http--download-
type: Distribution
access URL: https://ukccs-research.org/accessions/index.html#item75709
format: WWW:DOWNLOAD-1.0-http--download

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 Leuchars Vaisala CL31 ceilometer cloud base and backscatter data
type: Distribution
access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/leuchars/vaisala-cl31

Product User Guide
type: Distribution
access URL: http://www.esa-icesheets-greenland-cci.org/index.php

The ESA Greenland Ice Sheet CCI Project
type: Distribution
access URL: http://www.esa-icesheets-cci.org/

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

Sample Image
type: Distribution

CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the faf-heat run with MPI-ESM1-2-HR model.
type: Distribution
access URL: https://explore.es-doc.org/cmip6/further-info

Detailed experiment description for: "control plus perturbative surface flux of heat into ocean" (faf-heat)
type: Distribution
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UK Open government data license
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access URL: https://www.nationalarchives.gov.uk/doc/open-government-licence/

Schurer, A P., G. C. Hegerl, M. E. Mann, S. F. B. Tett, S. J. Phipps, 2013: Separating Forced from Chaotic Climate Variability over the Past Millennium paper
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Euroclim500 Documentaton directory
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Scripting for data download via ftp
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CEDA Data Catalogue Page
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DOWNLOAD
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access URL: http://data.ceda.ac.uk/badc/euroclim500/data/GHG

Flight log for FAAM BAE-146 flight B567
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Flight summary file for FAAM BAE-146 flight B567
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Flight track for FAAM BAE-146 flight B567
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Data
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BGS Homepage
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CMIP6 Errata Service
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CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the piClim-ghg run with ACCESS-ESM1-5 model.
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Detailed experiment description for: "effective radiative forcing by present-day greenhouse gases" (piClim-ghg)
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WCRP CMIP6 Home Page
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CEDA CMIP6 Guide
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-Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292
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title: Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292

WWW:DOWNLOAD-1.0-http--download-
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Met Office LIDARNET backscatter visualisation map
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Daily plots of Met Office LIDARNET Leuchars Vaisala CL31 ceilometer cloud base and backscatter data
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Product User Guide
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The ESA Greenland Ice Sheet CCI Project
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ESA Climate Change Initiative website
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Sample Image
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CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the faf-heat run with MPI-ESM1-2-HR model.
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Detailed experiment description for: "control plus perturbative surface flux of heat into ocean" (faf-heat)
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-Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570
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UK Open government data license
type: Distribution
access URL: https://www.nationalarchives.gov.uk/doc/open-government-licence/

Schurer, A P., G. C. Hegerl, M. E. Mann, S. F. B. Tett, S. J. Phipps, 2013: Separating Forced from Chaotic Climate Variability over the Past Millennium paper
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Euroclim500 Documentaton directory
type: Distribution
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Scripting for data download via ftp
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CEDA Data Catalogue Page
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DOWNLOAD
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Flight log for FAAM BAE-146 flight B567
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Flight summary file for FAAM BAE-146 flight B567
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access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-sum_faam_20110118_r0_b567.txt

Flight track for FAAM BAE-146 flight B567
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Data
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BGS Homepage
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CMIP6 Errata Service
type: Distribution
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CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the piClim-ghg run with ACCESS-ESM1-5 model.
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Detailed experiment description for: "effective radiative forcing by present-day greenhouse gases" (piClim-ghg)
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WCRP CMIP6 Home Page
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CEDA CMIP6 Guide
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-Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292
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title: Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292

WWW:DOWNLOAD-1.0-http--download-
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Met Office LIDARNET backscatter visualisation map
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Daily plots of Met Office LIDARNET Leuchars Vaisala CL31 ceilometer cloud base and backscatter data
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Product User Guide
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The ESA Greenland Ice Sheet CCI Project
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ESA Climate Change Initiative website
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Sample Image
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CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the faf-heat run with MPI-ESM1-2-HR model.
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access URL: https://explore.es-doc.org/cmip6/further-info

Detailed experiment description for: "control plus perturbative surface flux of heat into ocean" (faf-heat)
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access URL: https://view.es-doc.org/

-Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570
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title: Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570

UK Open government data license
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Schurer, A P., G. C. Hegerl, M. E. Mann, S. F. B. Tett, S. J. Phipps, 2013: Separating Forced from Chaotic Climate Variability over the Past Millennium paper
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access URL: http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-12-00826.1

Euroclim500 Documentaton directory
type: Distribution
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Scripting for data download via ftp
type: Distribution
access URL: https://help.ceda.ac.uk/article/281-ftp-with-python-and-perl

CEDA Data Catalogue Page
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DOWNLOAD
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access URL: http://data.ceda.ac.uk/badc/euroclim500/data/GHG

Flight log for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-log_faam_20110118_r0_b567.pdf

Flight summary file for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-sum_faam_20110118_r0_b567.txt

Flight track for FAAM BAE-146 flight B567
type: Distribution
access URL: http://data.ceda.ac.uk/badc/faam/data/2011/b567-jan-18/flight-track_faam_20110118_b567.kml

Data
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BGS Homepage
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CMIP6 Errata Service
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access URL: https://errata.es-doc.org/

CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the piClim-ghg run with ACCESS-ESM1-5 model.
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access URL: https://explore.es-doc.org/cmip6/further-info

Detailed experiment description for: "effective radiative forcing by present-day greenhouse gases" (piClim-ghg)
type: Distribution
access URL: https://view.es-doc.org/

WCRP CMIP6 Home Page
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access URL: https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6

CEDA CMIP6 Guide
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access URL: https://help.ceda.ac.uk/article/4801-cmip6-data

-Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292
type: Distribution
access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Ziehn, Tilo; Dix, Martin; Mackallah, Chloe; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Druken, Kelsey; Ridzwan, Syazwan Mohamed (2020). CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4292

WWW:DOWNLOAD-1.0-http--download-
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format: WWW:DOWNLOAD-1.0-http--download

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 Leuchars Vaisala CL31 ceilometer cloud base and backscatter data
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access URL: http://data.ceda.ac.uk/badc/ukmo-lidarnet/plots/leuchars/vaisala-cl31

Product User Guide
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access URL: http://www.esa-icesheets-greenland-cci.org/index.php

The ESA Greenland Ice Sheet CCI Project
type: Distribution
access URL: http://www.esa-icesheets-cci.org/

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

Sample Image
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CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the faf-heat run with MPI-ESM1-2-HR model.
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access URL: https://explore.es-doc.org/cmip6/further-info

Detailed experiment description for: "control plus perturbative surface flux of heat into ocean" (faf-heat)
type: Distribution
access URL: https://view.es-doc.org/

-Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570
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access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Haak, Helmuth, et. al. (2019). MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 FAFMIP faf-heat. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6570

UK Open government data license
type: Distribution
access URL: https://www.nationalarchives.gov.uk/doc/open-government-licence/

Schurer, A P., G. C. Hegerl, M. E. Mann, S. F. B. Tett, S. J. Phipps, 2013: Separating Forced from Chaotic Climate Variability over the Past Millennium paper
type: Distribution
access URL: http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-12-00826.1

Euroclim500 Documentaton directory
type: Distribution
access URL: http://data.ceda.ac.uk/badc/euroclim500/doc/

Scripting for data download via ftp
type: Distribution
access URL: https://help.ceda.ac.uk/article/281-ftp-with-python-and-perl

UKCCSRC Call 1 project presentation: Flexible CCS Network Development, Workshop1, 30.04.14
abstract: This presentation on the UKCCSRC Call 1 project, Flexible CCS Network Development, was presented at the Workshop1, 30.04.14. Grant number: UKCCSRC-C1-40.
keyword: NERC_DDC
keyword: NGDC Deposited Data
keyword: UKCCS
theme: Carbon capture and storage
theme: Geology
theme: geoscientificInformation
temporal: 2013-10 / 2015-01
issued: 2013-10
publisher: University of Strathclyde
accrual periodicity: notApplicable
language: eng
license: The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
license: Either: (i) the dataset is made freely available, e.g. via the Internet, for a restricted category of use (e.g. educational use only); or (ii) the dataset has not been formally approved by BGS for access and use by external clients under licence, but its use may be permitted under alternative formal arrangements; or (iii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted in order to determine the permitted usage of the dataset. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant use restrictions. This staff member should revert to the IPR Section (ipr@bgs.ac.uk) for advice, should the position not be clear.
license: intellectualPropertyRights
license: Either : (i) the dataset has not been formally approved by BGS for access and use by external clients under license; and / or (ii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted before the dataset can be provided to, or accessed by, BGS staff or external clients. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant access restrictions. This staff member should revert to the IPR Section (IPR@bgs.ac.uk) for advice, should the position not be clear.
distribution: WWW:DOWNLOAD-1.0-http--download-
data quality: UKCCSRC Call 1 project, grant number: UKCCSRC-C1-40, Lead institution: Newcastle University

primary topic: https://catalogue.ceda.ac.uk/uuid/1bd55585e2ad4d649abb9ffa2dc2ab47 1bd55585e2ad4d649abb9ffa2dc2ab47 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r1i1p1f1.Amon.zg.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r20i1p1f1.Amon.zg.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r21i1p1f1.Amon.zg.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r22i1p1f1.Amon.zg.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r23i1p1f1.Amon.zg.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r24i1p1f1.Amon.zg.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r25i1p1f1.Amon.zg.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r26i1p1f1.Amon.zg.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r27i1p1f1.Amon.zg.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r28i1p1f1.Amon.zg.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r29i1p1f1.Amon.zg.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r100i1p1f1.Amon.clivi.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r100i1p1f1.Amon.clt.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r100i1p1f1.Amon.clwvi.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r100i1p1f1.Amon.evspsbl.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r100i1p1f1.Amon.hfls.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r100i1p1f1.Amon.hfss.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r100i1p1f1.Amon.hur.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r100i1p1f1.Amon.hus.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r100i1p1f1.Amon.o3.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r100i1p1f1.Amon.pr.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r100i1p1f1.Amon.prw.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r100i1p1f1.Amon.ps.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r100i1p1f1.Amon.psl.gn.v20190430.v20190430 CMIP6.PAMIP.NCAR.CESM2.pdSST-pdSIC.r100i1p1f
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the "pdSST-pdSIC" experiment
abstract: The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the "Atmosphere time slice with present day SST and SIC" (pdSST-pdSIC) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble members: r100i1p1f1, r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i1p1f1, r30i1p1f1, r31i1p1f1, r32i1p1f1, r33i1p1f1, r34i1p1f1, r35i1p1f1, r36i1p1f1, r37i1p1f1, r38i1p1f1, r39i1p1f1, r3i1p1f1, r40i1p1f1, r41i1p1f1, r42i1p1f1, r43i1p1f1, r44i1p1f1, r45i1p1f1, r46i1p1f1, r47i1p1f1, r48i1p1f1, r49i1p1f1, r4i1p1f1, r50i1p1f1, r51i1p1f1, r52i1p1f1, r53i1p1f1, r54i1p1f1, r55i1p1f1, r56i1p1f1, r57i1p1f1, r58i1p1f1, r59i1p1f1, r5i1p1f1, r60i1p1f1, r61i1p1f1, r62i1p1f1, r63i1p1f1, r64i1p1f1, r65i1p1f1, r66i1p1f1, r67i1p1f1, r68i1p1f1, r69i1p1f1, r6i1p1f1, r70i1p1f1, r71i1p1f1, r72i1p1f1, r73i1p1f1, r74i1p1f1, r75i1p1f1, r76i1p1f1, r77i1p1f1, r78i1p1f1, r79i1p1f1, r7i1p1f1, r80i1p1f1, r81i1p1f1, r82i1p1f1, r83i1p1f1, r84i1p1f1, r85i1p1f1, r86i1p1f1, r87i1p1f1, r88i1p1f1, r89i1p1f1, r8i1p1f1, r90i1p1f1, r91i1p1f1, r92i1p1f1, r93i1p1f1, r94i1p1f1, r95i1p1f1, r96i1p1f1, r97i1p1f1, r98i1p1f1, r99i1p1f1 and r9i1p1f1. CMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6). The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.
keyword: CMIP6
keyword: WCRP
keyword: climate change
keyword: NCAR
keyword: CESM2
keyword: pdSST-pdSIC
keyword: Amon
keyword: Lmon
theme: atmospheric conditions
theme: climatologyMeteorologyAtmosphere
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: 2000-06-14T23:00:00 / 2001-05-15T11:00:00
issued: 2019-11-08T21:56:10
publisher: National Center for Atmospheric Research (NCAR)
publisher: Centre for Environmental Data Analysis (CEDA)
accrual periodicity: asNeeded
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/CMIP6_Terms_of_Use.pdf, appropriate use of these data may fall under unclassified 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: -CMIP6 Errata Service
distribution: -CMIP6 ES-Doc ensemble member r100i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r10i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r11i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r12i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r13i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r14i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r15i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r16i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r17i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r18i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r19i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r20i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r21i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r22i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r23i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r24i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r25i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r26i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r27i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r28i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r29i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r2i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r30i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r31i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r32i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r33i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r34i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r35i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r36i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r37i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r38i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r39i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r3i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r40i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r41i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r42i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r43i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r44i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r45i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r46i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r47i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r48i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r49i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r4i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r50i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r51i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r52i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r53i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r54i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r55i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r56i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r57i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r58i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r59i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r5i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
distribution: -CMIP6 ES-Doc ensemble member r60i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.

primary topic: https://catalogue.ceda.ac.uk/uuid/9b34ccfd4def4b9f8f05869c58b10db9 9b34ccfd4def4b9f8f05869c58b10db9 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.6hrPlev.psl.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.6hrPlevPt.zg.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.clt.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.hfls.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.hfss.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.hur.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.hurs.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.hus.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.huss.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.pr.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.prc.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.prsn.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.ps.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.psl.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.rlds.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.rlus.gr.v20201216.v20201216 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10i1p2f1.Amon.rlut.gr.v20190409.v20190409 PRIMAVERA.primWP5.EC-Earth-Consortium.EC-Earth3P.primWP5-amv-pos.r10
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P model output for the "primWP5-amv-pos" experiment
abstract: PRIMAVERA Project data from the the EC-Earth-Consortium team EC-Earth3P model output for the "primWP5-amv-pos" experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, LImon, Omon, SImon and day. The runs included the ensemble members: r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r18i1p2f1, r19i1p2f1, r1i1p2f1, r20i1p2f1, r21i1p2f1, r22i1p2f1, r23i1p2f1, r24i1p2f1, r25i1p2f1, r2i1p2f1, r3i1p2f1, r4i1p2f1, r5i1p2f1, r6i1p2f1, r7i1p2f1, r8i1p2f1 and r9i1p2f1. PRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project. The the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.
keyword: PRIMAVERA
keyword: HighResMIP
keyword: climate change
keyword: EC-Earth-Consortium
keyword: EC-Earth3P
keyword: primWP5-amv-pos
keyword: 6hrPlev
keyword: 6hrPlevPt
keyword: Amon
keyword: LImon
keyword: Omon
keyword: SImon
keyword: day
theme: atmospheric conditions
theme: climatologyMeteorologyAtmosphere
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: 2000-01-01T00:00:00 / 2153-12-31T18:00:00
issued: 2022-11-14T22:15:58
publisher: La Agencia Estatal de Meteorología (AEMET)
publisher: Barcelona Supercomputing Centre (BSC)
publisher: Institute of Atmospheric Sciences and Climate (CNR-ISAC)
publisher: Danish Meteorological Institute (DMI)
publisher: Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA)
publisher: Finnish Meteorological Institute (FMI)
publisher: Helmholtz Centre for Ocean Research Kiel (Geomar)
publisher: Irish Centre for High-End Computing (ICHEC)
publisher: International Centre for Theoretical Physics (ICTP)
publisher: Instituto Dom Luiz (IDL)
publisher: Institute for Marine and Atmospheric research Utrecht (IMAU)
publisher: Portuguese Institute for Sea and Atmosphere (IPMA)
publisher: KIT Karlsruhe Institute of Technology
publisher: Royal Netherlands Meteorological Institute (KNMI)
publisher: Lund University
publisher: Met Éireann
publisher: The Netherlands eScience Center (NLeSC)
publisher: Norwegian University of Science and Technology (NTNU)
publisher: University of Oxford
publisher: SURFsara
publisher: Swedish Meteorological and Hydrological Institute (SMHI)
publisher: Stockholm University
publisher: Unite ASTR
publisher: University College Dublin
publisher: University of Bergen
publisher: University of Copenhagen
publisher: University of Helsinki
publisher: University of Santiago de Compostela
publisher: Uppsala University
publisher: University of Utrecht
publisher: Vrije Universiteit Amsterdam
publisher: Wageningen University
publisher: NERC EDS Centre for Environmental Data Analysis
accrual periodicity: asNeeded
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/CMIP6_Terms_of_Use.pdf, appropriate use of these data may fall under unclassified 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: -PRIMAVERA Home Page
data quality: Data were produced and verified by the EC-Earth-Consortium team scientists before upload to the Centre for Environmental Data Analysis (CEDA) and publication via the Earth Systems Grid Federation (ESGF).

primary topic: CSR5940
conforms to: 32557.html
issued: 2022-01-05
modified: 2022-01-05

The oceanographic dataset collected during the research cruise identified as PE108 on board the RV Pelagia
abstract: This dataset comprises 13 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, during June - July 1997 from stations off the coast of the Iberian Peninsula, in an area bounded by 42 - 45 N, 8 - 12 W. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the Royal Netherlands Institute for Sea Research as part of the Ocean Margin Exchange (OMEX) II project.
theme: Elevation
theme: Oceanographic geographical features
theme: Coordinate reference systems
theme: Salinity of the water column
theme: Transmittance and attenuance of the water column
theme: Quality control flags
theme: Temperature of the water column
theme: Dissolved oxygen parameters in the water column
theme: Vertical spatial coordinates
theme: Chlorophyll pigment concentrations in water bodies
theme: Reference numbers
theme: Density of the water column
theme: water column boundary layer
theme: water column
theme: epipelagic water column
theme: mesopelagic water column
theme: bathypelagic water column
theme: upper epipelagic water column
theme: Marine Environmental Data and Information Network
theme: Natural Environment Research Council Designated Data Centres
theme: elevation
theme: oceans
theme: biota
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-11.7357 42.6645, -11.7357 44.0115, -8.6197 44.0115, -8.6197 42.6645, -11.7357 42.6645))
temporal: 1997-06-27 / 1997-07-12
issued: 2003-07-02
updated: 2021-01-05
publisher: Royal Netherlands Institute for Sea Research
publisher: British Oceanographic Data Centre
accrual periodicity: asNeeded
language: eng
license: Data are freely available to all following agreement to the terms and conditions of the British Oceanographic Data Centre Data Licence. The licence terms and conditions are available via https://www.bodc.ac.uk/data/documents/nodb/267795/
license: Usage restrictions are specified in the terms of the licence
license: No limitations apply
distribution: -BODC online data delivery service
distribution: -BODC Cruise Metadata Report for RV Pelagia Cruise PE108
data quality: This dataset was collected by the originators and provided to the British Oceanographic Data Centre (BODC). Data have undergone BODC quality control procedures described in https://www.bodc.ac.uk/data/documents/nodb/63428/ prior to long term archive and management. Further information about data collection, data processing and data quality reports are linked to the individual profile references in the cruise metadata document linked to this metadata record.

primary topic: https://catalogue.ceda.ac.uk/uuid/66c3d2f8203449cbbef46b6d648c3f0d 66c3d2f8203449cbbef46b6d648c3f0d
conforms to: 32557.html
issued: 2026-04-02
modified: 2026-04-02

ARSF 2010_199b - EUFAR AIRES-CZM/EUFAR10_02 Flight: hyperspectral remote sensing measurements
abstract: Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Rollei Digital Camera, ARSF Specim AISA Eagle and ARSF Specim AISA Hawk instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the AIRES-CZM - Using AIRborne REmote Sensing for improved Coastal Zone Management (EUFAR10_02) project (flight reference: 2010_199b). Data were collected over the Santander, Spain area.
keyword: EUFAR10_02
keyword: AIRES-CZM
keyword: aircraft
keyword: hyperspectral
keyword: remote sensing
theme: orthoimagery
theme: imageryBaseMapsEarthCover
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-4.1471037 43.4650296, -4.1471037 43.4846905, -3.6222144 43.4846905, -3.6222144 43.4650296, -4.1471037 43.4650296))
temporal: 2010-07-17T23:00:00 / 2010-07-18T22:59:59
issued: 2015-09-14T16:44:38
publisher: NERC Airborne Research and Survey Facility (ARSF)
publisher: European Facility for Airborne Research (EUFAR)
publisher: Unavailable
publisher: Centre for Environmental Data Analysis (CEDA)
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: -EUFAR Website
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).

Carbon capture and storage
in scheme: BGS Thesaurus of Geosciences

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

orthoimagery
in scheme: GEMET - INSPIRE themes, version 1.0

access URL: https://ukccs-research.org/accessions/index.html#item41162
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access URL: http://data.ceda.ac.uk/badc/cmip6/data/CMIP6/PAMIP/NCAR/CESM2/pdSST-pdSIC

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Detailed experiment description for: "Atmosphere time slice with present day SST and SIC" (pdSST-pdSIC)
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WCRP CMIP6 Home Page
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access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Danabasoglu, Gokhan (2019). NCAR CESM2 model output prepared for CMIP6 PAMIP pdSST-pdSIC. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.7696

CEDA Data Catalogue Page
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DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/cmip6/data/PRIMAVERA/primWP5/EC-Earth-Consortium/EC-Earth3P/primWP5-amv-pos

PRIMAVERA Home Page
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BODC online data delivery service
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BODC Cruise Metadata Report for RV Pelagia Cruise PE108
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CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/66c3d2f8203449cbbef46b6d648c3f0d

DOWNLOAD
access URL: http://data.ceda.ac.uk/neodc/arsf/2010/EUFAR10_02/EUFAR10_02-2010_199b_Santander

EUFAR Website
access URL: http://www.eufar.net

British Geological Survey

University of Strathclyde
member: Eva Elisabeth Stueeken

Centre for Environmental Data Analysis (CEDA)

National Center for Atmospheric Research (NCAR)
member: unknown

NERC EDS Centre for Environmental Data Analysis

La Agencia Estatal de Meteorología (AEMET)
member: unknown

Barcelona Supercomputing Centre (BSC)
member: unknown

Institute of Atmospheric Sciences and Climate (CNR-ISAC)
member: unknown

Danish Meteorological Institute (DMI)
member: unknown

Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA)
member: unknown

Finnish Meteorological Institute (FMI)
member: unknown

Helmholtz Centre for Ocean Research Kiel (Geomar)
member: unknown

Irish Centre for High-End Computing (ICHEC)

International Centre for Theoretical Physics (ICTP)
member: unknown

Instituto Dom Luiz (IDL)
member: unknown

Institute for Marine and Atmospheric research Utrecht (IMAU)
member: unknown

Portuguese Institute for Sea and Atmosphere (IPMA)
member: unknown

KIT Karlsruhe Institute of Technology
member: unknown

Royal Netherlands Meteorological Institute (KNMI)
member: unknown

Lund University
member: unknown

Met Éireann
member: http://www.met.ie/contactus/

The Netherlands eScience Center (NLeSC)
member: unknown

Norwegian University of Science and Technology (NTNU)
member: unknown

University of Oxford
member: unknown

SURFsara
member: unknown

Swedish Meteorological and Hydrological Institute (SMHI)
member: unknown

Stockholm University
member: unknown

Unite ASTR
member: unknown

University College Dublin
member: unknown

University of Bergen
member: unknown

University of Copenhagen
member: unknown

University of Helsinki
member: unknown

University of Santiago de Compostela
member: unknown

Uppsala University
member: unknown

University of Utrecht
member: unknown

Vrije Universiteit Amsterdam
member: unknown

Wageningen University
member: unknown

British Oceanographic Data Centre

Royal Netherlands Institute for Sea Research

NERC Airborne Research and Survey Facility (ARSF)
member: unknown

European Facility for Airborne Research (EUFAR)
member: unknown

Unavailable
member: Jones, Rod

Julia Race

Castillo-Lopez, Elena

Carbon capture and storage
in scheme: BGS Thesaurus of Geosciences

atmospheric conditions
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CMIP6 ES-Doc ensemble member r8i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r90i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r91i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r93i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r94i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r95i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r96i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r97i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r98i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r99i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r9i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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Detailed experiment description for: "Atmosphere time slice with present day SST and SIC" (pdSST-pdSIC)
access URL: https://view.es-doc.org/

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access URL: https://help.ceda.ac.uk/article/4801-cmip6-data

access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Danabasoglu, Gokhan (2019). NCAR CESM2 model output prepared for CMIP6 PAMIP pdSST-pdSIC. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.7696

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Institute of Atmospheric Sciences and Climate (CNR-ISAC)
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Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA)
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Helmholtz Centre for Ocean Research Kiel (Geomar)
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International Centre for Theoretical Physics (ICTP)
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Instituto Dom Luiz (IDL)
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KIT Karlsruhe Institute of Technology
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Royal Netherlands Meteorological Institute (KNMI)
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Lund University
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Met Éireann
member: http://www.met.ie/contactus/

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Norwegian University of Science and Technology (NTNU)
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University of Oxford
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SURFsara
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Swedish Meteorological and Hydrological Institute (SMHI)
member: unknown

Stockholm University
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Unite ASTR
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University College Dublin
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University of Bergen
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University of Copenhagen
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University of Helsinki
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University of Santiago de Compostela
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Vrije Universiteit Amsterdam
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Wageningen University
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British Oceanographic Data Centre

Royal Netherlands Institute for Sea Research

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Unavailable
member: Jones, Rod

Julia Race

Castillo-Lopez, Elena

Carbon capture and storage
in scheme: BGS Thesaurus of Geosciences

atmospheric conditions
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orthoimagery
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access URL: https://ukccs-research.org/accessions/index.html#item41162
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CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/1bd55585e2ad4d649abb9ffa2dc2ab47

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access URL: http://data.ceda.ac.uk/badc/cmip6/data/CMIP6/PAMIP/NCAR/CESM2/pdSST-pdSIC

CMIP6 Errata Service
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CMIP6 ES-Doc ensemble member r100i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r10i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r11i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r12i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r13i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r14i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r15i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r16i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r17i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r18i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r19i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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title: Official CMIP6 DOI Citation: Danabasoglu, Gokhan (2019). NCAR CESM2 model output prepared for CMIP6 PAMIP pdSST-pdSIC. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.7696

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CMIP6 ES-Doc ensemble member r47i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r48i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r49i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r4i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r50i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r51i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r52i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r53i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r54i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r55i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r56i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r57i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r58i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r59i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r5i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r60i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r61i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r62i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r63i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r64i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r65i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r66i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r67i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r68i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r69i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r6i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r70i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r71i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r72i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r73i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r74i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r75i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r76i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r77i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r78i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r79i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r7i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r80i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r81i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r82i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r83i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r84i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r85i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r86i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r87i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r88i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r89i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r8i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r90i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r91i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r92i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r93i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r94i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r95i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r96i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r97i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r98i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r99i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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CMIP6 ES-Doc ensemble member r9i1p1f1 entry for the pdSST-pdSIC run with CESM2 model.
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Detailed experiment description for: "Atmosphere time slice with present day SST and SIC" (pdSST-pdSIC)
access URL: https://view.es-doc.org/

WCRP CMIP6 Home Page
access URL: https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6

CEDA CMIP6 Guide
access URL: https://help.ceda.ac.uk/article/4801-cmip6-data

access URL: https://cera-www.dkrz.de/WDCC/ui/cerasearch/cmip6
title: Official CMIP6 DOI Citation: Danabasoglu, Gokhan (2019). NCAR CESM2 model output prepared for CMIP6 PAMIP pdSST-pdSIC. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.7696

CEDA Data Catalogue Page
access URL: https://catalogue.ceda.ac.uk/uuid/9b34ccfd4def4b9f8f05869c58b10db9

DOWNLOAD
access URL: http://data.ceda.ac.uk/badc/cmip6/data/PRIMAVERA/primWP5/EC-Earth-Consortium/EC-Earth3P/primWP5-amv-pos

PRIMAVERA Home Page
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BODC online data delivery service
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BODC Cruise Metadata Report for RV Pelagia Cruise PE108
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CEDA Data Catalogue Page
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DOWNLOAD
access URL: http://data.ceda.ac.uk/neodc/arsf/2010/EUFAR10_02/EUFAR10_02-2010_199b_Santander

EUFAR Website
access URL: http://www.eufar.net

British Geological Survey

University of Strathclyde
member: Eva Elisabeth Stueeken

Centre for Environmental Data Analysis (CEDA)

National Center for Atmospheric Research (NCAR)
member: unknown

NERC EDS Centre for Environmental Data Analysis

La Agencia Estatal de Meteorología (AEMET)
member: unknown

Barcelona Supercomputing Centre (BSC)
member: unknown

Institute of Atmospheric Sciences and Climate (CNR-ISAC)
member: unknown

Danish Meteorological Institute (DMI)
member: unknown

Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA)
member: unknown

Finnish Meteorological Institute (FMI)
member: unknown

Helmholtz Centre for Ocean Research Kiel (Geomar)
member: unknown

Irish Centre for High-End Computing (ICHEC)

International Centre for Theoretical Physics (ICTP)
member: unknown

Instituto Dom Luiz (IDL)
member: unknown

Institute for Marine and Atmospheric research Utrecht (IMAU)
member: unknown

Portuguese Institute for Sea and Atmosphere (IPMA)
member: unknown

KIT Karlsruhe Institute of Technology
member: unknown

Royal Netherlands Meteorological Institute (KNMI)
member: unknown

Lund University
member: unknown

Met Éireann
member: http://www.met.ie/contactus/

The Netherlands eScience Center (NLeSC)
member: unknown

Norwegian University of Science and Technology (NTNU)
member: unknown

University of Oxford
member: unknown

SURFsara
member: unknown

Swedish Meteorological and Hydrological Institute (SMHI)
member: unknown

Stockholm University
member: unknown

Unite ASTR
member: unknown

University College Dublin
member: unknown

University of Bergen
member: unknown

University of Copenhagen
member: unknown

University of Helsinki
member: unknown

University of Santiago de Compostela
member: unknown

Uppsala University
member: unknown

University of Utrecht
member: unknown

Vrije Universiteit Amsterdam
member: unknown

Wageningen University
member: unknown

British Oceanographic Data Centre

Royal Netherlands Institute for Sea Research

NERC Airborne Research and Survey Facility (ARSF)
member: unknown

European Facility for Airborne Research (EUFAR)
member: unknown

Unavailable
member: Jones, Rod

Julia Race

Castillo-Lopez, Elena