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Centre d'études spatiales de la biosphère |  |
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Centre d'études spatiales de la biosphère | |
| HAL: insu-00413399, version 1 |
| DOI: 10.1029/2008JD010724 |
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| Journal of Geophysical Research Atmospheres 114 (2009) D05108 |
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| AMMA Land Surface Model Intercomparison Experiment coupled to the Community Microwave Emission Model: ALMIP-MEM |
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| P. De Rosnay 1M. Drusch 1 |
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| (2009-03) |
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| This paper presents the African Monsoon Multidisciplinary Analysis (AMMA) Land Surface Models Intercomparison Project (ALMIP) for Microwave Emission Models (ALMIP-MEM). ALMIP-MEM comprises an ensemble of simulations of C-band brightness temperatures over West Africa for 2006. Simulations have been performed for an incidence angle of 55°, and results are evaluated against C-band satellite data from the Advanced Microwave Scanning Radiometer on Earth Observing System (AMSR-E). The ensemble encompasses 96 simulations, for 8 Land Surface Models (LSMs) coupled to 12 configurations of the Community Microwave Emission Model (CMEM). CMEM has a modular structure which permits combination of several parameterizations with different vegetation opacity and soil dielectric models. ALMIP-MEM provides the first intercomparison of state-of-the-art land surface and microwave emission models at regional scale. Quantitative estimates of the relative importance of land surface modeling and radiative transfer modeling for the monitoring of low-frequency passive microwave emission on land surfaces are obtained. This is of high interest for the various users of coupled land surface microwave emission models. Results show that both LSMs and microwave model components strongly influence the simulated top of atmosphere (TOA) brightness temperatures. For most of the LSMs, the Kirdyashev opacity model is the most suitable to simulate TOA brightness temperature in best agreement with the AMSR-E data. When this best microwave modeling configuration is used, all the LSMs are able to reproduce the main temporal and spatial variability of measured brightness temperature. Averaged among the LSMs, correlation is 0.67 and averaged normalized standard deviation is 0.98. |
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| 1: | European Centre for Medium Range Weather Forecast (ECMWF) |
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ECMWF |
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| 2: | Groupe d'étude de l'atmosphère météorologique (CNRM-GAME) |
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CNRS : URA1357 – INSU – Météo France |
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| 3: | Centre for Ecology and Hydrology [Wallingford] (CEH) |
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NERC - Natural Environment Research Council |
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| 4: | Centre d'études spatiales de la biosphère (CESBIO) |
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CNRS : UMR5126 – Institut de recherche pour le développement [IRD] – CNES – Observatoire Midi-Pyrénées – INSU – Université Paul Sabatier [UPS] - Toulouse III |
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| 5: | Laboratoire d'étude des transferts en hydrologie et environnement (LTHE) |
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CNRS : UMR5564 – OSUG – INSU – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG) – Institut de recherche pour le développement [IRD] : UR012 |
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| 6: | Laboratoire de Météorologie Dynamique (LMD) |
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CNRS : UMR8539 – INSU – Université Pierre et Marie Curie [UPMC] - Paris VI – Polytechnique - X – Ecole normale supérieure de Paris - ENS Paris |
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| 7: | Unité écologie fonctionnelle et physique de l'environnement |
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Institut national de la recherche agronomique (INRA) |
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| subject | : | Sciences of the Universe/Earth Sciences/Geophysics Physics/Physics/Geophysics Environmental Sciences/Global Changes Sciences of the Universe/Earth Sciences/Meteorology |
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| soil moisture – remote sensing – land surface modeling. |
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| insu-00413399, version 1 | |
| http://hal-insu.archives-ouvertes.fr/insu-00413399 | |
| oai:hal-insu.archives-ouvertes.fr:insu-00413399 | |
| From: Thierry Pellarin | |
| Submitted on: Thursday, 3 September 2009 22:56:05 | |
| Updated on: Thursday, 15 July 2010 14:12:00 | |
