Plateau Meteorology

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2018 , Vol. 37 >Issue 6: 1499 - 1510

DOI: https://doi.org/10.7522/j.issn.1000-0534.2018.00045

Model Estimation and Validation of the Surface Energy Fluxes at Typical Underlying Surfaces over the Qinghai-Tibetan Plateau

  • HU Yuanyuan ,
  • ZHONG Lei ,
  • MA Yaoming ,
  • ZOU Mijun ,
  • HUANG Ziyu ,
  • XU Kepiao ,
  • FENG Lu
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  • Key Laboratory of Atmospheric Composition and Optical Radiation, School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, Anhui, China;Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China;University of Chinese Academy of Sciences, Beijing 100101, China;Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Chinese Academy of Sciences, Beijing 100101, China;Chinese Academy of Sciences Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100101, China;Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou 510080, Guangdong, China

Received date: 2017-12-05

  Online published: 2018-12-28

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Abstract

The surface energy fluxes occur near the ground and are pivotal parameters for studying land-atmosphere interaction. The Qinghai-Tibetan Plateau is one of the most sensitive regions in response to global climate change. Its thermal and dynamic effects on the atmosphere are mainly achieved through the exchange of heat and water vapor between the land surface and the atmosphere. The estimation and validation of the surface energy fluxes over the Tibetan Plateau have great significance on the study of energy and water cycle in the Qinghai-Tibetan Plateau and its surrounding regions. The surface energy balance system (SEBS) model provides an effective method for studying the surface energy fluxes over the heterogeneous underlying surface. In order to further explore applicability of the model estimation for the typical underlying surface over the Tibetan Plateau, based on in-situ radiation data and Atmospheric Boundary Layer (ABL) tower data (Nagqu Station of Plateau Climate and Environment (BJ), Nam Co Station for Multisphere Observation and Research (Nam Co) and Qomolangma Station for Atmospheric Environmental Observation and Research (QOMS), Chinese Academy of Sciences (CAS)) and combined with MODIS data in 2008, the SEBS model was used to estimate the surface energy fluxes which were validated with the in-situ measurements. The results showed that the sensible heat flux and soil heat flux estimated by the model were in good agreement with the in-situ measurements, and the estimation accuracy of sensible heat flux and soil heat flux was obviously better than that of latent heat flux. The estimation accuracy of the sensible heat flux was the highest, and their root mean square error (stations BJ, Nam Co and QOMS) were 54.98 W·m-2, 37.37 W·m-2, 27.10 W·m-2, respectively. The error of the latent heat flux of the model estimated is relatively large, which is caused by the energy closure problem in the in-situ measurements. Taking the imbalance of energy closure prevails in most surface energy fluxes measurements into account, the latent heat flux measurements were corrected by using the Bowen ratio correction method. Results showed that the Bowen ratio correction method could significantly improve the energy imbalance problem. The closure ratios of surface energy balance (stations BJ, Nam Co and QOMS) were increased by 19.4%、21.4%、19.1%, respectively. Accordingly, the corrected latent heat flux had better consistency with model estimation results. The root mean square error of estimated latent heat flux decreased by 6.78 W·m-2(BJ), 33.48 W·m-2(Nam Co), 29.30 W·m-2(QOMS), respectively.

Key words： The Qinghai-Tibetan; Surface energy balan; Bowen ratio correcti; Surface energy balan; Surface energy fluxe

Cite this article

HU Yuanyuan , ZHONG Lei , MA Yaoming , ZOU Mijun , HUANG Ziyu , XU Kepiao , FENG Lu . Model Estimation and Validation of the Surface Energy Fluxes at Typical Underlying Surfaces over the Qinghai-Tibetan Plateau[J]. Plateau Meteorology, 2018 , 37(6) : 1499 -1510 . DOI: 10.7522/j.issn.1000-0534.2018.00045

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