Compared performances of microwave passive soil moisture retrievals (SMOS) and active soil moisture retrievals (ASCAT) using land surface model estimates (MERRA-LAND)
International audience Performances of two global satellite-based surface soil moisture (SSM) retrievals with respect to model-based SSM derived from the MERRA (Modern-Era Retrospective analysis for Research and Applications) rea-nalysis were explored in this paper: (i) Soil Moisture and Ocean Salin...
Published in: | 2014 IEEE Geoscience and Remote Sensing Symposium |
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Main Authors: | , , , , , , , , , , , , |
Other Authors: | , , , , , , , , , , , , |
Format: | Conference Object |
Language: | English |
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HAL CCSD
2014
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Subjects: | |
Online Access: | https://hal.inrae.fr/hal-02740508 https://doi.org/10.1109/IGARSS.2014.6946971 |
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ftunivnantes:oai:HAL:hal-02740508v1 |
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openpolar |
institution |
Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
ASCAT SMOS soil moisture biomes [SDE.MCG]Environmental Sciences/Global Changes [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SDU.STU]Sciences of the Universe [physics]/Earth Sciences |
spellingShingle |
ASCAT SMOS soil moisture biomes [SDE.MCG]Environmental Sciences/Global Changes [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SDU.STU]Sciences of the Universe [physics]/Earth Sciences Al Yaari, Amen Wigneron, Jean-Pierre Ducharne, Agnès Kerr, Yann H. Wagner, Wolfgang Reichle, Rolf de Lannoy, Gabrielle Ahmad, Al Bitar Dorigo, Wouter Parrens, Marie Fernández Moran, Roberto Richaume, Philippe Mialon, Arnaud Compared performances of microwave passive soil moisture retrievals (SMOS) and active soil moisture retrievals (ASCAT) using land surface model estimates (MERRA-LAND) |
topic_facet |
ASCAT SMOS soil moisture biomes [SDE.MCG]Environmental Sciences/Global Changes [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SDU.STU]Sciences of the Universe [physics]/Earth Sciences |
description |
International audience Performances of two global satellite-based surface soil moisture (SSM) retrievals with respect to model-based SSM derived from the MERRA (Modern-Era Retrospective analysis for Research and Applications) rea-nalysis were explored in this paper: (i) Soil Moisture and Ocean Salinity (SMOS; passive) Level-3 SSM (SMOSL3) and (ii) the Advanced Scatterometer (ASCAT; active) SSM. Temporal correlation was used to investigate the performance of SMOSL3 and ASCAT SSM products during the period 05/2010–2012 on a global basis. Both SMOSL3 and ASCAT (slightly better) captured well (R>0.70) the long-term variability of the modelled SSM, particularly, over the Indian subcontinent, the Great Plains of North America, and the Sahel. However, ASCAT had negative correlations in arid regions, in particular across the Sahara and the Arabian Peninsula. This may be due to complex scattering mechanisms over very dry surfaces. To explore the land cover dependence of the analyzed statistical indicators, the global correlation results were averaged per biome extracted from a global map of biomes. In general, SMOSL3 and ASCAT performances behaved differently from one biome to another. For SMOSL3, the highest average correlation was observed over “tropical semi-arid” (R = ∼ 0.5) and “temperate semi-arid” biomes, whereas for ASCAT, the highest correlations were observed over “tropical semi-arid” (R = ∼ 0.7) and “tropical humid” biomes. The poorest agreement for both SMOSL3 and ASCAT was generally found over “tundra” and “desert temperate” biomes, particularly for ASCAT. This study showed that the performance of both SMOSL3 and ASCAT is highly dependent on vegetation. We also showed that both of them provide complementary information on SSM, which implies a potential for data fusion which would be pertinent for the ESA climate change initiative (CCI). |
author2 |
Interactions Sol Plante Atmosphère (UMR ISPA) Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro) Milieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols (METIS) Université Pierre et Marie Curie - Paris 6 (UPMC)-École pratique des hautes études (EPHE) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS) Centre d'études spatiales de la biosphère (CESBIO) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Vienna University of Technology Atmospheric and Environmental Research, Inc. (AER) Universitat de València (UV) IEEE Geoscience and Remote Sensing Society (GRSS). USA. |
format |
Conference Object |
author |
Al Yaari, Amen Wigneron, Jean-Pierre Ducharne, Agnès Kerr, Yann H. Wagner, Wolfgang Reichle, Rolf de Lannoy, Gabrielle Ahmad, Al Bitar Dorigo, Wouter Parrens, Marie Fernández Moran, Roberto Richaume, Philippe Mialon, Arnaud |
author_facet |
Al Yaari, Amen Wigneron, Jean-Pierre Ducharne, Agnès Kerr, Yann H. Wagner, Wolfgang Reichle, Rolf de Lannoy, Gabrielle Ahmad, Al Bitar Dorigo, Wouter Parrens, Marie Fernández Moran, Roberto Richaume, Philippe Mialon, Arnaud |
author_sort |
Al Yaari, Amen |
title |
Compared performances of microwave passive soil moisture retrievals (SMOS) and active soil moisture retrievals (ASCAT) using land surface model estimates (MERRA-LAND) |
title_short |
Compared performances of microwave passive soil moisture retrievals (SMOS) and active soil moisture retrievals (ASCAT) using land surface model estimates (MERRA-LAND) |
title_full |
Compared performances of microwave passive soil moisture retrievals (SMOS) and active soil moisture retrievals (ASCAT) using land surface model estimates (MERRA-LAND) |
title_fullStr |
Compared performances of microwave passive soil moisture retrievals (SMOS) and active soil moisture retrievals (ASCAT) using land surface model estimates (MERRA-LAND) |
title_full_unstemmed |
Compared performances of microwave passive soil moisture retrievals (SMOS) and active soil moisture retrievals (ASCAT) using land surface model estimates (MERRA-LAND) |
title_sort |
compared performances of microwave passive soil moisture retrievals (smos) and active soil moisture retrievals (ascat) using land surface model estimates (merra-land) |
publisher |
HAL CCSD |
publishDate |
2014 |
url |
https://hal.inrae.fr/hal-02740508 https://doi.org/10.1109/IGARSS.2014.6946971 |
op_coverage |
Québec, Canada |
long_lat |
ENVELOPE(12.615,12.615,65.816,65.816) |
geographic |
Canada Indian Merra |
geographic_facet |
Canada Indian Merra |
genre |
Tundra |
genre_facet |
Tundra |
op_source |
IEEE International Geoscience and Remote Sensing Symposium Proceedings IGARSS 2014, International Geoscience and Remote Sensing Symposium https://hal.inrae.fr/hal-02740508 IGARSS 2014, International Geoscience and Remote Sensing Symposium, IEEE Geoscience and Remote Sensing Society (GRSS). USA., Jul 2014, Québec, Canada. ⟨10.1109/IGARSS.2014.6946971⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1109/IGARSS.2014.6946971 ISBN: 978-1-4799-5775-0 hal-02740508 https://hal.inrae.fr/hal-02740508 doi:10.1109/IGARSS.2014.6946971 PRODINRA: 267644 WOS: 000349688103115 |
op_doi |
https://doi.org/10.1109/IGARSS.2014.6946971 |
container_title |
2014 IEEE Geoscience and Remote Sensing Symposium |
container_start_page |
2463 |
op_container_end_page |
2466 |
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1766230070603546624 |
spelling |
ftunivnantes:oai:HAL:hal-02740508v1 2023-05-15T18:40:40+02:00 Compared performances of microwave passive soil moisture retrievals (SMOS) and active soil moisture retrievals (ASCAT) using land surface model estimates (MERRA-LAND) Al Yaari, Amen Wigneron, Jean-Pierre Ducharne, Agnès Kerr, Yann H. Wagner, Wolfgang Reichle, Rolf de Lannoy, Gabrielle Ahmad, Al Bitar Dorigo, Wouter Parrens, Marie Fernández Moran, Roberto Richaume, Philippe Mialon, Arnaud Interactions Sol Plante Atmosphère (UMR ISPA) Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro) Milieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols (METIS) Université Pierre et Marie Curie - Paris 6 (UPMC)-École pratique des hautes études (EPHE) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS) Centre d'études spatiales de la biosphère (CESBIO) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Vienna University of Technology Atmospheric and Environmental Research, Inc. (AER) Universitat de València (UV) IEEE Geoscience and Remote Sensing Society (GRSS). USA. Québec, Canada 2014-07-13 https://hal.inrae.fr/hal-02740508 https://doi.org/10.1109/IGARSS.2014.6946971 en eng HAL CCSD IEEE info:eu-repo/semantics/altIdentifier/doi/10.1109/IGARSS.2014.6946971 ISBN: 978-1-4799-5775-0 hal-02740508 https://hal.inrae.fr/hal-02740508 doi:10.1109/IGARSS.2014.6946971 PRODINRA: 267644 WOS: 000349688103115 IEEE International Geoscience and Remote Sensing Symposium Proceedings IGARSS 2014, International Geoscience and Remote Sensing Symposium https://hal.inrae.fr/hal-02740508 IGARSS 2014, International Geoscience and Remote Sensing Symposium, IEEE Geoscience and Remote Sensing Society (GRSS). USA., Jul 2014, Québec, Canada. ⟨10.1109/IGARSS.2014.6946971⟩ ASCAT SMOS soil moisture biomes [SDE.MCG]Environmental Sciences/Global Changes [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SDU.STU]Sciences of the Universe [physics]/Earth Sciences info:eu-repo/semantics/conferenceObject Conference papers 2014 ftunivnantes https://doi.org/10.1109/IGARSS.2014.6946971 2023-02-22T05:52:06Z International audience Performances of two global satellite-based surface soil moisture (SSM) retrievals with respect to model-based SSM derived from the MERRA (Modern-Era Retrospective analysis for Research and Applications) rea-nalysis were explored in this paper: (i) Soil Moisture and Ocean Salinity (SMOS; passive) Level-3 SSM (SMOSL3) and (ii) the Advanced Scatterometer (ASCAT; active) SSM. Temporal correlation was used to investigate the performance of SMOSL3 and ASCAT SSM products during the period 05/2010–2012 on a global basis. Both SMOSL3 and ASCAT (slightly better) captured well (R>0.70) the long-term variability of the modelled SSM, particularly, over the Indian subcontinent, the Great Plains of North America, and the Sahel. However, ASCAT had negative correlations in arid regions, in particular across the Sahara and the Arabian Peninsula. This may be due to complex scattering mechanisms over very dry surfaces. To explore the land cover dependence of the analyzed statistical indicators, the global correlation results were averaged per biome extracted from a global map of biomes. In general, SMOSL3 and ASCAT performances behaved differently from one biome to another. For SMOSL3, the highest average correlation was observed over “tropical semi-arid” (R = ∼ 0.5) and “temperate semi-arid” biomes, whereas for ASCAT, the highest correlations were observed over “tropical semi-arid” (R = ∼ 0.7) and “tropical humid” biomes. The poorest agreement for both SMOSL3 and ASCAT was generally found over “tundra” and “desert temperate” biomes, particularly for ASCAT. This study showed that the performance of both SMOSL3 and ASCAT is highly dependent on vegetation. We also showed that both of them provide complementary information on SSM, which implies a potential for data fusion which would be pertinent for the ESA climate change initiative (CCI). Conference Object Tundra Université de Nantes: HAL-UNIV-NANTES Canada Indian Merra ENVELOPE(12.615,12.615,65.816,65.816) 2014 IEEE Geoscience and Remote Sensing Symposium 2463 2466 |