Impact of vegetation on the simulation of seasonal monsoon rainfall over the Indian subcontinent using a regional model

被引：0

作者：

Surya K. Dutta

Someshwar Das

S. C. Kar

U. C. Mohanty

P. C. Joshi

机构：

[1] National Centre for Medium Range Weather Forecasting,Space Application Centre

[2] Centre for Atmospheric Science,undefined

[3] IIT,undefined

[4] ISRO,undefined

来源：

Journal of Earth System Science | 2009年 / 118卷

关键词：

Vegetation; monsoon; rainfall; mesoscale; simulation; forecast; TRMM;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The change in the type of vegetation fraction can induce major changes in the local effects such as local evaporation, surface radiation, etc., that in turn induces changes in the model simulated outputs. The present study deals with the effects of vegetation in climate modeling over the Indian region using the MM5 mesoscale model. The main objective of the present study is to investigate the impact of vegetation dataset derived from SPOT satellite by ISRO (Indian Space Research Organization) versus that of USGS (United States Geological Survey) vegetation dataset on the simulation of the Indian summer monsoon. The present study has been conducted for five monsoon seasons (1998–2002), giving emphasis over the two contrasting southwest monsoon seasons of 1998 (normal) and 2002 (deficient).

引用

页码：413 / 440

页数：27

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