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Proceedings Paper

Simulation of Land ETs of China with CoLM
Author(s): Lingling Ma; Lingli Tang; Zhaoliang Li
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Paper Abstract

It has become a great demand and a difficult task to study regional evapo-transpiration (ETs) in the field of geology and geography nowadays. As one of the most important contents in studying the interaction between land surface and atmosphere, the precise estimation of various land surface evapo-transpiration makes great sense to study the global climate change, as well as the reasonable utilization and distribution of water resources. Firstly, this paper analyzed several methods which are used to study ETs nowadays, especially the advantages and disadvantages of the prevailing method of RS for ETs, and proposed the new idea of combining the remote sensing method with the land-surface process model based on the previous work of Remote Sensing model for ETs. Then we drove CoLM (Common Land Model), which is the most advanced land surface process model in the world with GSWP-2 re-analyses meteorological data, and compared the ETs calculated by CoLM with the result calculated by a remote sensing model SEBS-China in 1991 of China. The result indicates that both models can simulate the monthly ETs however uncertainties exist in both of the models, which shows the significance and feasibility of the combination of two models in estimation of ETs. At last this paper analyzed the cause of the uncertainties of CoLM and prospected our future work, which is a preparation for the calibration to land surface model with RS model for ETs.

Paper Details

Date Published: 9 June 2006
PDF: 7 pages
Proc. SPIE 6200, Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China, 62000N (9 June 2006); doi: 10.1117/12.681768
Show Author Affiliations
Lingling Ma, Institute of Remote Sensing Applications, CAS (China)
Chinese Academy of Sciences (China)
Remote Sensing Satellite Ground Station, CAS (China)
Lingli Tang, Remote Sensing Satellite Ground Station, CAS (China)
Zhaoliang Li, Institute of Geographical Sciences and Natural Resources Research, CAS (China)


Published in SPIE Proceedings Vol. 6200:
Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China
Qingxi Tong; Wei Gao; Huadong Guo, Editor(s)

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