FN Archimer Export Format
PT J
TI Sea surface salinity estimates from spaceborne L-band radiometers: An overview of the first decade of observation (2010–2019)
BT 
AF Reul, Nicolas
   Grodsky, S.A.
   Arias, M.
   Boutin, J.
   Catany, R.
   Chapron, Bertrand
   D'Amico, F
   Dinnat, E.
   Donlon, C.
   Fore, A.
   Fournier, Severine
   Guimbard, Sebastien
   Hasson, A.
   Kolodziejczyk, Nicolas
   Lagerloef, G.
   Lee, T.
   Le Vine, D.M.
   Lindstrom, E.
   Maes, Christophe
   Mecklenburg, S.
   Meissner, T.
   Olmedo, E.
   Sabia, R.
   Tenerelli, Joseph
   Thouvenin-Masson, C.
   Turiel, A.
   Vergely, J.L.
   Vinogradova, N.
   Wentz, F.
   Yueh, S.
AS 1:1;2:13;3:6;4:2;5:6;6:1;7:6;8:12;9:15;10:10;11:10;12:4;13:2;14:16;15:9;16:10;17:12;18:14;19:17;20:8;21:11;22:3;23:7;24:4;25:2;26:3;27:5;28:11;29:14;30:10;
FF 1:PDG-ODE-LOPS-SIAM;2:;3:;4:;5:;6:PDG-ODE-LOPS-SIAM;7:;8:;9:;10:;11:;12:;13:;14:;15:;16:;17:;18:;19:;20:;21:;22:;23:;24:;25:;26:;27:;28:;29:;30:;
C1 Ifremer, Univ. Brest, CNRS, IRD, Laboratoire d'Oceanographie Physique et Spatiale (LOPS), IUEM, Brest, France
   Sorbonne Université, CNRS, IRD, MNHN, Laboratoire d'Océanographie et du Climat: Expérimentations et Approches Numériques (LOCEAN), Paris, France
   Institut de Ciencies del Mar -CMIMA (CSIC), Barcelona, Spain
   OCEANDATALAB, Brest, France
   ACRI-st, Guyancourt, France
   ARGANS, Plymouth, UK
   Telespazio-Vega UK Ltd for ESA, ESRIN, Frascati, Italy
   European Space Agency, ESA-ESRIN, Frascati, Italy
   Earth and Space Research, Seattle, WA, USA
   NASA, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
   Remote Sensing Systems, Santa Rosa, CA, USA
   NASA Goddard Space Flight Center, Greenbelt, MD, USA
   Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USA
   NASA Headquarters, Washington, DC, USA
   European Space Agency, ESA-ESTEC, Netherlands
   Ifremer, Univ. Brest, CNRS, IRD, Laboratoire d'Oceanographie Physique et Spatiale (LOPS), IUEM, Brest, France
   Ifremer, Univ. Brest, CNRS, IRD, Laboratoire d'Oceanographie Physique et Spatiale (LOPS), IUEM, Brest, France
C2 IFREMER, FRANCE
   UNIV PARIS 06, FRANCE
   CSIC, SPAIN
   OCEANDATALAB, FRANCE
   ACRI-ST, FRANCE
   ARGANS, UK
   TELESPAZIO VEGA UK LTD, ITALY
   ESA, ITALY
   EARTH AND SPACE RESEARCH, USA
   NASA, USA
   REMOTE SENSING SYSTEMS, USA
   NASA, USA
   UNIV MARYLAND, USA
   NASA, USA
   ESA, NETHERLANDS
   UBO, FRANCE
   IRD, FRANCE
SI TOULON
   BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer UMR
   WOS Cotutelle UMR
   copubli-france
   copubli-p187
   copubli-europe
   copubli-univ-france
   copubli-int-hors-europe
IF 10.164
TC 111
UR https://archimer.ifremer.fr/doc/00615/72750/71894.pdf
LA English
DT Article
DE ;Sea surface salinity;Ocean microwave remote sensing;Radiometer;L-band;SMOS;Aquarius/SAC-D;SMAP
AB Operated since the end of 2009, the European Space Agency (ESA) Soil Moisture and Ocean Salinity (SMOS) satellite mission is the first orbiting radiometer that collects regular and global observations from space of two Essential Climate Variables of the Global Climate Observing System: Sea Surface Salinity (SSS) and Soil Moisture. The National Aeronautics and Space Administration (NASA) Aquarius mission, with the primary objective to provide global SSS measurements from space operated from mid-2011 to mid-2015. NASA's Soil Moisture Active-Passive (SMAP) mission, primarily dedicated to soil moisture measurements, but also monitoring SSS, has been operating since early 2015. The primary sensors onboard these three missions are passive microwave radiometers operating at 1.4 GHz (L-band). SSS is retrieved from radiometer measurements of the sea surface brightness temperature (TB). In this paper, we first provide a historical review of SSS remote sensing with passive L-band radiometry beginning with the discussions of measurement principles, technology, sensing characteristics and complementarities of the three aforementioned missions. The assessment of satellite SSS products is then presented in terms of individual mission characteristics, common algorithms, and measurement uncertainties, including the validation versus in situ data, and, the consideration of sampling differences between satellite SSS and in situ salinity measurements. We next review the major scientific achievements of the combined first 10 years of satellite SSS data, including the insights enabled by these measurements regarding the linkages of SSS with the global water cycle, climate variability, and ocean biochemistry. We also highlight the new ability provided by satellites to monitor mesoscale and synoptic-scale SSS features and to advance our understanding of SSS' role in air-sea interactions, constraining ocean models, and improving seasonal predictions. An overview of satellite SSS observation highlights during this first decade and upcoming challenges are then presented. 
PY 2020
PD JUL
SO Remote Sensing Of Environment
SN 0034-4257
PU Elsevier BV
VL 242
UT 000523965600024
DI 10.1016/j.rse.2020.111769
ID 72750
ER

EF