FN Archimer Export Format PT J TI Consistency of satellite climate data records for Earth system monitoring BT AF Popp, Thomas Hegglin, Michaela I. Hollmann, Rainer ARDHUIN, Fabrice Bartsch, Annett Bastos, Ana Bennett, Victoria Boutin, Jacqueline Brockmann, Carsten Buchwitz, Michael Chuvieco, Emilio Ciais, Philippe Dorigo, Wouter Ghent, Darren Jones, Richard Lavergne, Thomas Merchant, Christopher J. Meyssignac, Benoit Paul, Frederic Quegan, Shaun Sathyendranath, Shubha Scanlon, Tracy Schröder, Marc Simis, Stefan G. H. Willén, Ulrika AS 1:1;2:2;3:3;4:4;5:5;6:6;7:7;8:8;9:9;10:10;11:11;12:12;13:13;14:14;15:15;16:16;17:2,17;18:18;19:19;20:20;21:21;22:13;23:3;24:21;25:22; FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:;16:;17:;18:;19:;20:;21:;22:;23:;24:;25:; C1 German Aerospace Center (DLR), Wessling, Germany University of Reading, Reading, UK Deutscher Wetterdienst (DWD), Offenbach, Germany Lab. of Ocean Physics and Satellite oceanography, Ifremer, Plouzané, France b.geos GmbH, Korneuburg, Austria Dept. Of Geography, Ludwig-Maximilians-Universität, München, Germany Centre for Environmental Data Analysis, STFC Rutherford Appleton Laboratory, Harwell, UK and National Centre for Earth Observation, UK Sorbonne Université, CNRS, IRD, MNHN, Laboratoire d'Océanographie et du Climat: Expérimentations et Approches Numériques (LOCEAN), Paris, France Brockmann Consult GmbH, Hamburg, Germany Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany Environmental Remote Sensing, University of Alcalá, Alcalá de Henares, Spain IPSL – LSCE, Gif sur Yvette, France TU Wien, Department of Geodesy and Geoinformation, Vienna, Austria National Centre for Earth Observation, Department of Physics & Astronomy, University of Leicester, Leicester, UK Met Office Hadley Centre, Exeter, UK Norwegian Meteorological Institute, Oslo, Norway National Centre for Earth Observation, University of Reading, Reading, UK LEGOS CNES, CNRS, IRD, Université de Toulouse, Toulouse, France Department of Geography, University of Zurich, Zurich, Switzerland School of Mathematics and Statistics, University of Sheffield, Sheffield, UK Plymouth Marine Laboratory, Plymouth, UK Swedish Hydrological and Meteorological Institute, Norrköping, Sweden C2 GERMAN AEROSPACE CENTER (DLR), GERMANY UNIV READING, UK DEUTSCHER WETTERDIENST (DWD), GERMANY CNRS, FRANCE B.GEOS GMBH, AUSTRIA UNIV MUNCHEN, GERMANY CEDA, UK UNIV SORBONNE, FRANCE BROCKMANN CONSULT GMBH, GERMANY UNIV BREMEN, GERMANY UNIV ALCALA DE HENARES, SPAIN CEA, FRANCE UNIV VIENNA, AUSTRIA UNIV LEICESTER, UK MET OFFICE, UK NORWEGIAN METEOROL INST, NORWAY UNIV READING, UK CNES, FRANCE UNIV ZURICH, SWITZERLAND UNIV SHEFFIELD, UK PML, UK SWEDISH METEOROL & HYDROL INST, SWEDEN UM LOPS IN WOS Cotutelle UMR copubli-france copubli-europe copubli-univ-france copubli-int-hors-europe IF 8.766 TC 23 UR https://archimer.ifremer.fr/doc/00635/74700/74639.pdf LA English DT Article AB Climate Data Records (CDRs) of Essential Climate Variables (ECVs) as defined by the Global Climate Observing System (GCOS) derived from satellite instruments help to characterize the main components of the Earth system, to identify the state and evolution of its processes, and to constrain the budgets of key cycles of water, carbon and energy. The Climate Change Initiative (CCI) of the European Space Agency (ESA) coordinates the derivation of CDRs for 21 GCOS ECVs. The combined use of multiple ECVs for Earth system science applications requires consistency between and across their respective CDRs. As a comprehensive definition for multi-ECV consistency is missing so far, this study proposes defining consistency on three levels: (1) consistency in format and metadata to facilitate their synergetic use (technical level); (2) consistency in assumptions and auxiliary datasets to minimize incompatibilities among datasets (retrieval level); and (3) consistency between combined or multiple CDRs within their estimated uncertainties or physical constraints (scientific level). Analysing consistency between CDRs of multiple quantities is a challenging task and requires coordination between different observational communities, which is facilitated by the CCI program. The inter-dependencies of the satellite-based CDRs derived within the CCI program are analysed to identify where consistency considerations are most important. The study also summarizes measures taken in CCI to ensure consistency on the technical level, and develops a concept for assessing consistency on the retrieval and scientific levels in the light of underlying physical knowledge. Finally, this study presents the current status of consistency between the CCI CDRs and future efforts needed to further improve it. PY 2020 PD NOV SO Bulletin Of The American Meteorological Society SN 0003-0007 PU American Meteorological Society VL 101 IS 11 UT 000598066100005 DI 10.1175/BAMS-D-19-0127.1 ID 74700 ER EF