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18 results on '"Guimbard, S."'

1. Sea surface salinity estimates from spaceborne L-band radiometers: An overview of the first decade of observation (2010–2019)

Author

Reul, N., Grodsky, S.A., Arias, M., Boutin, J., Catany, R., Chapron, B., D'Amico, F., Dinnat, E., Donlon, C., Fore, A., Fournier, S., Guimbard, S., Hasson, A., Kolodziejczyk, N., Lagerloef, G., Lee, T., Le Vine, D.M., Lindstrom, E., Maes, C., Mecklenburg, S., Meissner, T., Olmedo, E., Sabia, R., Tenerelli, J., Thouvenin-Masson, C., Turiel, A., Vergely, J.L., Vinogradova, N., Wentz, F., and Yueh, S.

Published
2020
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3. Satellite‐Based Sea Surface Salinity Designed for Ocean and Climate Studies

Author

Boutin, J., primary, Reul, N., additional, Koehler, J., additional, Martin, A., additional, Catany, R., additional, Guimbard, S., additional, Rouffi, F., additional, Vergely, J. L., additional, Arias, M., additional, Chakroun, M., additional, Corato, G., additional, Estella‐Perez, V., additional, Hasson, A., additional, Josey, S., additional, Khvorostyanov, D., additional, Kolodziejczyk, N., additional, Mignot, J., additional, Olivier, L., additional, Reverdin, G., additional, Stammer, D., additional, Supply, A., additional, Thouvenin‐Masson, C., additional, Turiel, A., additional, Vialard, J., additional, Cipollini, P., additional, Donlon, C., additional, Sabia, R., additional, and Mecklenburg, S., additional

Published
2021
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6. Sea surface salinity estimates from spaceborne L-band radiometers : an overview of the first decade of observation (2010&8211;2019)

Author

Reul, N., Grodsky, S.A., Arias, M., Boutin, J., Catany, R., Chapron, B., D'Amico, F., Dinnat, E., Donlon, C., Fore, A., Fournier, S., Guimbard, S., Hasson, A., Kolodziejczyk, N., Lagerloef, G., Lee, T., Le Vine, D.M., Lindstrom, E., Maes, Christophe, Mecklenburg, S., Meissner, T., Olmedo, E., Sabia, R., Tenerelli, J., Thouvenin-Masson, C., Turiel, A., Vergely, J.L., Vinogradova, N., Wentz, F., and Yueh, S.

Abstract

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 on board these three missions are passive microwave radio-meters 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 characteristicsand complementarities of the three afore mentioned 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.

Published
2020

9. Reply to comment by Paul A. Hwang on 'A study of the slope probablity density function of the ocean waves from radar observations' by D. Hauser, G. Caudal, S. Guimbard, and A. Mouche [2007JC004264RR]

Author

Hauser, Danièle, Caudal, Gérard, Guimbard, S., Mouche, A., ESTER - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Société CLS-Boost Technologies, and Institut Français de Recherche pour l'Exploitation de la Mer - Brest (IFREMER Centre de Bretagne)

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Surface ocean waves
Abstract

International audience; In response to the comment of Hwang [2009], thispaper presents an addendum to the study published byHauser et al. [2008] on the mean square slopes (mss) derivedfrom radar observations (at C-band and incidence anglesbetween 7 and 21)

Published
2009

12. SMOS CP34 soil moisture and ocean salinity maps

Author

Font, J., primary, Gabarro, C., additional, Ballabrera, J., additional, Turiel, A., additional, Martinez, J., additional, Umbert, M., additional, Perez, F., additional, Hoareau, N., additional, Portabella, M., additional, Gonzalez, V., additional, Gourrion, J., additional, Guimbard, S., additional, Piles, M., additional, Camps, A., additional, and Vall-llossera, M., additional

Published
2012
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18. SMOS Semi-Empirical Ocean Forward Model Adjustment.

Author

Guimbard, S., Gourrion, J., Portabella, M., Turiel, A., Gabarro, C., and Font, J.

Subjects
*SOIL moisture measurement, *SEAWATER salinity, *MEASUREMENT of salinity, *INTERFEROMETRY, *MICROWAVE radiometers, *OCEAN temperature measurement, *ARTIFICIAL satellites, *REMOTE sensing, *ARTIFICIAL neural networks
Abstract

A prerequisite for the successful retrieval of geophysical parameters from remote sensing measurements is the development of an accurate forward model. The European Space Agency Soil Moisture and Ocean Salinity (SMOS), carrying onboard an L-band interferometric radiometer (Microwave Interferometric Radiometer using Aperture Synthesis), was launched on November 2009. Due to the lack of L-band passive ocean measurements from space, several prelaunch forward models were developed and initially used in the SMOS ocean salinity operational processor. In this paper, an update of the prelaunch semi-empirical forward model is presented, using for the first time, real SMOS data. In particular, the ocean surface emissivity modulation at L-band due to rough sea surface is reviewed and reanalyzed. A new model definition is provided with the help of a simple neural network. The improvement is quantified in terms of retrieved salinity accuracy compared with the climatology and concerns essentially the range of wind speeds higher than 12 m·s-1. [ABSTRACT FROM AUTHOR]

Published
2012
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