Remote sensing of the land surface during the African Monsoon Multidisciplinary Analysis (AMMA)

被引：9

作者：

Kergoat, Laurent ^{[1
]}

Grippa, Manuela ^{[1
]}

Baille, Alain ^{[2
]}

Eymard, Laurence ^{[3
]}

Lacaze, Roselyne ^{[4
]}

Mougin, Eric ^{[1
]}

Ottle, Catherine ^{[5
]}

Pellarin, Thierry ^{[6
]}

Polcher, Jan ^{[7
]}

de Rosnay, Patricia ^{[8
]}

Roujean, Jean-Louis ^{[9
]}

Sandholt, Inge ^{[10
]}

Taylor, Christopher M. ^{[11
]}

Zin, Isabella ^{[6
]}

Zribi, Mehrez ^{[12
]}

机构：

[1] UPS, IRD, CNRS, LMTG, F-31400 Toulouse, France

[2] Tech Univ Cartagena, Cartagena, Spain

[3] UPMC, MNHN, LOCEAN, CNRS,IRD, Paris, France

[4] OMP, Toulouse, France

[5] UVSQ, LSCE, CNRS, CEA, Paris, France

[6] UJF, LTHE, IRD, CNRS, Grenoble, France

[7] UPMC, LMD, CNRS, Paris, France

[8] ECMWF, Reading, Berks, England

[9] Meteo France, CNRM GAME, CNRS, Toulouse, France

[10] IGUC, Copenhagen, Denmark

[11] CEH, Wallingford, Oxon, England

[12] UPS, CESBIO, IRD, CNRS, Toulouse, France

来源：

ATMOSPHERIC SCIENCE LETTERS | 2011年 / 12卷 / 01期

关键词：

remote sensing; land surface; AMMA; West Africa; DYNAMICS; REGION; SAHEL;

D O I：

10.1002/asl.325

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

This article summarises the scientific results gained from the satellite observation of the land surface during African Monsoon Multidisciplinary Analysis (AMMA). Validation of existing satellite products as well as developments of new algorithms are reported, spanning surface and total soil moisture, surface energy balance and radiation fluxes, vegetation properties and land cover (LC). The use of remote sensing data for investigating land-atmosphere interactions, for retrieving the components of continental water cycle and for evaluating Land Surface Models (LSM) is illustrated. The contribution of satellite data to the detection of decadal trends is also highlighted, revealing intriguing results and open questions. Copyright (C) 2011 Royal Meteorological Society

引用

页码：129 / 134

页数：6

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