中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Development of a Satellite Land Data Assimilation System Coupled With a Mesoscale Model in the Tibetan Plateau

文献类型:期刊论文

作者Rasmy, Mohamed1; Koike, Toshio1; Boussetta, Souhail3; Lu, Hui2; Li, Xin4
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2011-08-01
卷号49期号:8页码:2847-2862
关键词Atmospheric modeling data assimilation land-atmosphere interaction microwave remote sensing soil moisture
ISSN号0196-2892
DOI10.1109/TGRS.2011.2112667
通讯作者Rasmy, Mohamed(rasmy@hydra.t.u-tokyo.ac.jp)
英文摘要Soil moisture is the central focus of land surface and atmospheric modeling because it controls surface water and energy fluxes and consequently affects land-atmosphere interactions. Although global or regional satellite-derived surface soil moisture data sets are readily available, knowledge about assimilating them into numerical weather prediction (NWP) models is limited. The methods of assimilating soil moisture products in NWP models have several limitations, and they cannot be applied in near-real-time applications. As a result, this paper focuses on the development of a system [a Land Data Assimilation System coupled with a mesoscale Atmospheric model (LDAS-A)] that couples satellite land data assimilation with a mesoscale model to physically introduce land surface heterogeneities into the mesoscale model. The LDAS-A consists of a sequential LDAS that directly assimilates the lower frequency passive microwave brightness temperatures, and therefore, its use is feasible for near-real-time NWP applications. The LDAS-A was validated for the Tibetan Plateau using surface, radiosonde, and satellite observations. The simulation results show that the LDAS-A effectively improved the land surface variables (i.e., surface soil moisture and skin temperature) compared with the no-assimilation case and that it has the potential to correct uncertainties resulting from model initialization, model-specific parameters, and model forcing on a wider scale. The improved land surface conditions in the LDAS-A improve the land-atmosphere feedback mechanism, and the assimilated results provide better prediction of atmospheric profiles (i.e., potential temperature and specific humidity) than the no-assimilation case when compared with radiosonde soundings. Improvements in solar radiation, in addition to soil moisture, are necessary to introduce realistic land-atmosphere interactions into a mesoscale model.
收录类别SCI
WOS关键词SOIL-MOISTURE RETRIEVAL ; INTEGRATED FORECAST SYSTEM ; SOUTHERN GREAT-PLAINS ; NONHYDROSTATIC ATMOSPHERIC SIMULATION ; SURFACE EMISSION MODEL ; ENSEMBLE KALMAN FILTER ; REMOTE-SENSING DATA ; PREDICTION SYSTEM ; MICROWAVE EMISSION ; ROUGH SURFACES
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000293709200004
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
URI标识http://www.irgrid.ac.cn/handle/1471x/2556603
专题寒区旱区环境与工程研究所
通讯作者Rasmy, Mohamed
作者单位1.Univ Tokyo, Dept Civil Engn, River & Environm Engn Lab, Tokyo 1138656, Japan
2.Tsinghua Univ, Ctr Earth Syst Sci, Beijing 100084, Peoples R China
3.European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England
4.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China
推荐引用方式
GB/T 7714
Rasmy, Mohamed,Koike, Toshio,Boussetta, Souhail,et al. Development of a Satellite Land Data Assimilation System Coupled With a Mesoscale Model in the Tibetan Plateau[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2011,49(8):2847-2862.
APA Rasmy, Mohamed,Koike, Toshio,Boussetta, Souhail,Lu, Hui,&Li, Xin.(2011).Development of a Satellite Land Data Assimilation System Coupled With a Mesoscale Model in the Tibetan Plateau.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,49(8),2847-2862.
MLA Rasmy, Mohamed,et al."Development of a Satellite Land Data Assimilation System Coupled With a Mesoscale Model in the Tibetan Plateau".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 49.8(2011):2847-2862.

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来源:寒区旱区环境与工程研究所

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