FN Archimer Export Format PT J TI The Salinity Pilot-Mission Exploitation Platform (Pi-MEP): A Hub for Validation and Exploitation of Satellite Sea Surface Salinity Data BT AF GUIMBARD, Sebastien REUL, Nicolas Sabia, Roberto HERLEDAN, Sylvain El Khoury Hanna, Ziad PIOLLE, Jean-Francois PAUL, Frederic Lee, Tong Schanze, Julian L Bingham, Frederick M Le Vine, David Vinogradova-Shiffer, Nadya Mecklenburg, Susanne Scipal, Klaus Laur, Henri AS 1:1;2:2;3:3;4:4;5:4;6:2;7:2;8:5;9:6;10:7;11:8;12:9;13:10;14:11;15:11; FF 1:;2:PDG-ODE-LOPS-SIAM;3:;4:;5:;6:PDG-ODE-LOPS-SIAM;7:PDG-ODE-LOPS-SIAM;8:;9:;10:;11:;12:;13:;14:;15:; C1 OceanScope, 38 Rue Jim Sevellec, 29200 Brest, France Laboratoire d’Océanographie Physique et Spatiale (LOPS), IUEM Brest, University of Brest, CNRS, IRD, Ifremer, 29200 Brest, France Telespazio-UK for ESA, ESRIN, 00044 Frascati, Italy OceanDataLab, 870 Route de Deolen, 29280 Locmaria Plouzané, France Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91001, USA Earth & Space Research (ESR), Seattle, WA 98101, USA Center for Marine Science, University of North Carolina Wilmington, Wilmington, NC 28403, USA Goddard Space Flight Center, Greenbelt, MD 20706, USA NASA Headquarters, Washington, DC 20001, USA European Space Agency, ECSAT, Harwell OX11, UK European Space Agency, ESRIN, 00044 Frascati, Italy C2 OCEANSCOPE, FRANCE IFREMER, FRANCE TELESPAZIO VEGA UK LTD, ITALY OCEANDATALAB, FRANCE JET PROP LAB, USA ESR, USA UNIV N CAROLINA, USA GODDARD SPACE FLIGHT CENTER, USA NASA HEADQUARTERS, USA ESA, UK ESA, ITALY SI TOULON BREST SE PDG-ODE-LOPS-SIAM UM LOPS IN WOS Ifremer UMR DOAJ copubli-france copubli-europe copubli-int-hors-europe IF 5.349 TC 5 UR https://archimer.ifremer.fr/doc/00734/84591/89683.pdf LA English DT Article DE ;ocean;sea surface salinity;validation;remote sensing;L-band;SMOS;SMAP;aquarius;CCI AB The Pilot-Mission Exploitation Platform (Pi-MEP) for salinity is an ESA initiative originally meant to support and widen the uptake of Soil Moisture and Ocean Salinity (SMOS) mission data over the ocean. Starting in 2017, the project aims at setting up a computational web-based platform focusing on satellite sea surface salinity data, supporting studies on enhanced validation and scientific process over the ocean. It has been designed in close collaboration with a dedicated science advisory group in order to achieve three main objectives: gathering all the data required to exploit satellite sea surface salinity data, systematically producing a wide range of metrics for comparing and monitoring sea surface salinity products’ quality, and providing user-friendly tools to explore, visualize and exploit both the collected products and the results of the automated analyses. The Salinity Pi-MEP is becoming a reference hub for the validation of satellite sea surface salinity missions by providing valuable information on satellite products (SMOS, Aquarius, SMAP), an extensive in situ database (e.g., Argo, thermosalinographs, moorings, drifters) and additional thematic datasets (precipitation, evaporation, currents, sea level anomalies, sea surface temperature, etc.). Co-localized databases between satellite products and in situ datasets are systematically generated together with validation analysis reports for 30 predefined regions. The data and reports are made fully accessible through the web interface of the platform. The datasets, validation metrics and tools (automatic, user-driven) of the platform are described in detail in this paper. Several dedicated scienctific case studies involving satellite SSS data are also systematically monitored by the platform, including major river plumes, mesoscale signatures in boundary currents, high latitudes, semi-enclosed seas, and the high-precipitation region of the eastern tropical Pacific. Since 2019, a partnership in the Salinity Pi-MEP project has been agreed between ESA and NASA to enlarge focus to encompass the entire set of satellite salinity sensors. The two agencies are now working together to widen the platform features on several technical aspects, such as triple-collocation software implementation, additional match-up collocation criteria and sustained exploitation of data from the SPURS campaigns. PY 2021 PD NOV SO Remote Sensing SN 2072-4292 PU MDPI VL 13 IS 22 UT 000723646000001 DI 10.3390/rs13224600 ID 84591 ER EF