中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Use of vegetation properties from EOS observations for land-climate modeling in East Africa

文献类型:SCI/SSCI论文

作者Ge J. J. ; Qi J. G. ; Lofgren B.
发表日期2008
关键词surface parameterization sib2 measuring mission trmm regional climate atmospheric gcms satellite data cover data temperature modis weather landscape
英文摘要Land use/cover change has been recognized as a key component in global climate change. Information on land surface biophysical properties and climatic variables based on in situ data fail to resolve the fine-scale variability that exists in many parts of the world, including East Africa. In this study, we used the NASA's Earth Observing System (EOS) products to improve the representation of the land surface in a regional climate model as well as assess the model performance. The Moderate Resolution Imaging Spectroradiometer (MODIS) data of leaf area index (LAI) and vegetation fractional cover (VFC) were directly incorporated in the Regional Atmospheric Modeling System ( RAMS). The model was validated in terms of the land surface temperature (LST), utilizing the MODIS LST data from both Terra and Aqua satellites. Compared with the built-in land surface, the ingested MODIS LAI and VFC greatly improved the spatial and temporal dynamics of vegetation in East Africa. Three experiments were carried out for the year of 2003 to test the impacts of land surface conditions. The results showed that the spatial, seasonal, and diurnal characteristics of the RAMS simulated LST were improved because of MODIS LAI and VFC. Specifically, the Intertropical Convergence Zone (ITCZ)-related migration, bimodal temporal variation, and monthly averaged diurnal cycles of LST were more realistically reproduced. The need to realistically represent the spatial and temporal distribution of vegetation is thus highlighted, and the value of the EOS observations for the land-climate modeling is demonstrated.
出处Journal of Geophysical Research-Atmospheres
113
D15
收录类别SCI
语种英语
ISSN号0148-0227
源URL[http://ir.igsnrr.ac.cn/handle/311030/23974]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Ge J. J.,Qi J. G.,Lofgren B.. Use of vegetation properties from EOS observations for land-climate modeling in East Africa. 2008.

入库方式: OAI收割

来源:地理科学与资源研究所

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