Estimating the impact of land use change on surface energy partition based on the Noah model

Abstract

It is well known that land use has an important impact on surface energy partition. It is important to study the evolving trend of the partition of sensible heat flux (SHF) and latent heat flux (LHF) from the net radiance (NR) with land use change in the context of regional climate changes. In this paper, we studied the response of energy partition to land use using the Noah model. First, the Noah model simulation results of SHF and LHF between 2003 and 2005 were comprehensively validated using the observation data from the Changbai Mountain Station, the Xilinhot Station, and the Yucheng Station. The study domains represent three different types of land use change: excessive deforestation, grassland degeneration aggravation, and groundwater level decline, respectively. The study period was subsequently extended from 2015 through 2034, using four projected land use maps and forcing data from Princeton (2000–2004). The simulation results show that during the land use conversions, the annual average of LHF drops by 10.7%, rises by 10.1%, and drops by 11.5% for the Changbai Mountain, Inner Mongolia, and Northern China stations, respectively while the annual average of SHF rises by 10.6%, drops by 10.1%, and drops by 11.3% for the three areas.

Keywords

sensible heat flux / latent heat flux / land use change / the Noah model

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Acknowledgments

The authors thank the anonymous reviewers for their sincere suggestions which helped to improve the paper, and thank the CERN flux network for providing the validation data used in this paper. This work is supported jointly by National Basic Research Program of China (Nos. 2010CB950904 and 2010CB428403), the Project of National Natural Science Foundation of China (Grant Nos. 41101329 and 41371348 ).

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2013 Higher Education Press and Springer-Verlag Berlin Heidelberg