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Xinjiang University (2021)

Retrieval of Surface Energy Flux in Taklimakan Desert Based on Multi-source Remote Sensing and Reanalysis Data

刘凯露

Titre : Retrieval of Surface Energy Flux in Taklimakan Desert Based on Multi-source Remote Sensing and Reanalysis Data

Auteur : 刘凯露

Grade : Master 2021

Université : Xinjiang University

Résumé partiel
Because of the unique underlying surface type and land surface physical process,Taklimakan Desert plays an important role in the arid region of Northwest China.Its unique land-atmosphere interactions process directly affects the atmospheric circulation in China and even the world.As a significant parameter in the surface energy balance equation,the surface energy flux is a physical quantity that characterizes the underlying surface forcing and the strength of the interaction between the atmosphere and the near-surface.Therefore,get large-scale surface energy flux and quantitative analysis of each energy flux and energy balance closure have important research value for the heat exchange process,numerical prediction in the Taklimakan Desert.This paper is based on geostationary meteorological satellite data(FY-2F),polar-orbiting satellite Data(MODIS),and China Meteorological Forcing Dataset(CMFD)to derive 3-hourly surface energy flux at a spatial resolution of 0.1°in Taklimakan Desert,then,temporal and spatial variation characteristics of the various components of the surface energy flux are analyzed,the energy balance closure of the surface energy flux is evaluated,finally,comparison between SMAP datasets and Simulation results of surface energy flux Mots clés : FY-2F ;CMFD;Retrieval ;Surface energy flux ;Taklimakan desert ;

Présentation (CNKI)

Page publiée le 24 mars 2022