Estimation of land surface energy flux densities over eastern part of Northwest China with the aid of satellite remote sensing and field observations
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DOI:10.7606/j.issn.1000-7601.2006.03.02
Key Words: eastern part of Northwest China  satellite remote sensing  land surface energy flux densities
Author NameAffiliation
CHEN Tian-yu Shaanxi Remote Sensing Information Center for Agriculture, Xi’an, Shaanxi 710015, China 
CHEN Qian Gansu Weather Modif ication Office, Lanzhou, Gansu 730020, China 
LI Bao-zi Gansu Weather Modif ication Office, Lanzhou, Gansu 730020, China 
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Abstract:
      In this paper,the regional distribution features of the land surface daily mean net radiation flux density,sensible heat flux,latent heat flux,soil heat flux and Bowen ratio during April-August over eastern part of Northwest China are derived from the Surface Energy Balance Algorithm for Land(SEBAL),that are aided combining micrometeorological observations over a wheat field at Dingxi station and observations data of 36 automatic and 89 routine weather stations over experimental region with NOAA-16 AVHRR data.Based on land classification the energy flux densities of variant land surface such as the Yellow River irrigated paddy field,spring wheat field,winter wheat field,grass land,forest and marsh land have been estimated.It is shown that the variant growing periods of plants from the south humid evergreen forest through the semi-arid rainfed agriculture region into the north arid desert land surface energy transport are much different.The mean absolute percent difference between the derived results and measured values at Dingxi station is between 4% and 21%.The differences between surface temperature and air temperature(Ts-Ta) are sensitive for calculated sensible heat flux. A fitted relationship between (Ts-Ta) and(Ts,NDVI,Z) was found.The retrievals of regional (Ts-Ta) can be derived using satellite data.A difficult problem in calculation was solved,which can improve the estimation of regional sensible heat flux.