文献类型：期刊文献

英文题名：MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley-Taylor algorithm

作者：Yao, Yunjun[1,2,3] Liang, Shunlin[1,2,3,4] Cheng, Jie[1,2,3] Liu, Shaomin[5] Fisher, Joshua B.[6] Zhang, Xudong[7] Jia, Kun[1,2,3] Zhao, Xiang[1,2,3] Qing, Qiming[8] Zhao, Bin[9] Han, Shijie[10] Zhou, Guangsheng[11] Zhou, Guoyi[12] Li, Yuelin[12] Zhao, Shaohua[13]

第一作者：Yao, Yunjun

通信作者：Yao, YJ[1]

机构：[1]Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China;[2]Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing, Peoples R China;[3]Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China;[4]Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA;[5]Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China;[6]CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA;[7]Chinese Acad Forestry, Inst Forestry, Beijing 100091, Peoples R China;[8]Peking Univ, Inst Remote Sensing & GIS, Beijing 100871, Peoples R China;[9]Fudan Univ, Minist Educ Key Lab Biodivers Sci & Ecol Engn, Shanghai 200433, Peoples R China;[10]Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China;[11]Chinese Acad Sci, Inst Bot, Lab Quantitat Vegetat Ecol, Beijing 100093, Peoples R China;[12]Chinese Acad Sci, South China Bot Garden, Guangzhou 510650, Guangdong, Peoples R China;[13]Environm Satellite Ctr, Minist Environm Protect, Beijing 100094, Peoples R China

年份：2013

卷号：171

起止页码：187-202

外文期刊名：AGRICULTURAL AND FOREST METEOROLOGY

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000316513000018)】；

基金：The authors thank the anonymous reviewers for their critical and helpful comments and suggestions. The authors would like to thank Dr. Xianhong Xie, Dr. Wenping Yuan, Dr. Xianglan Li, Dr. Xiaotong Zhang, Dr. Bo Jiang and Dr. Liang Sun from the College of Global Change and Earth System Science, Beijing Normal University, China, for their suggestions. The authors would like to thank Dr. Qibing Wang from the State Key Labratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, for his help. The authors would also like to extend their thanks to China Meteorological Administration (CMA) for providing ground-measured meteorological data. Latent heat flux, net radiation, shortwave solar radiation and corresponding meteorological observations were obtained from the Coordinated Enhanced Observation Project (CEOP) in arid and semi-arid regions of northern China (http://observation.tea.ac.cn/), the water experiments of Environmental and Ecological Science Data Center for West China (http://westdc.westgis.ac.cn/water), the Atmosphere Radiation Measurement (ARM) Program of the U.S. Department of Energy (http://www.archive.arm.gov/), the ChinaFlux network (http://www.chinaflux.org/index/index.asp), the Japan Aerospace Exploration Agency (JAXA) (http://suzaku.eorcjaxajp/GLI/data/final/landpar/index.html). DEM data was derived from Shuttle Radar Topography Mission (STRM) DEM data (http://datamirror.csdb.cn/dem/searchjsp). The monthly PDSI products were derived from the NCAR CGD's Climate Analysis Section dataset (http://www.cgd.ucar.edu/cas/catalog/cljmind/pdsi.html). MODIS NDVI, LST, albedo and land cover satellite products were obtained online (http://reverb.echo.nasa.gov/reverb). This work was partially supported by the Special Foundation for Free Exploration of State Laboratory of Remote Sensing Science (Grant No. ZY12-11), the Natural Science Fund of China (No. 41201331, No. 40901167 and No. 41101313), the High-Tech Research and Development Program of China (No. 2009AA122100), the Advance Research Program of Civil Aerospace Technology: Research on the Key Techniques in Remote Sensing Data Processing for Solid Surface Elements Extraction. J.B.F. contributed to this paper from the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration.

语种：英文

外文关键词：Latent heat flux; Evapotranspiration; Priestley-Taylor; MODIS; China

摘要：Because of China's large size, satellite observations are necessary for estimation of the land surface latent heat flux (LE). We describe here a satellite-driven Priestley-Taylor (PT)-based algorithm constrained by the Normalized Difference Vegetation Index (NDVI) and Apparent Thermal Inertia (ATI) derived from temperature change over time. We compare to the satellite-driven PT-based approach, PT-JPL, and validate both models using data collected from 16 eddy covariance flux towers in China. Like PT-JPL, our proposed algorithm avoids the computational complexities of aerodynamic resistance parameters. We run the algorithms with monthly Moderate Resolution Imaging Spectroradiometer (MODIS) products (0.05 degrees resolution), including albedo, Land Surface Temperature (LST), surface emissivity, and NDVI; and, Insolation from the Japan Aerospace Exploration Agency (JAXA). We find good agreement between our estimates of monthly LE and field-measured LE, with respective Root Mean Square Error (RMSE) and bias differences of 12.5 Wm(-2) and -6.4Wm(-2). As compared with PT-JPL, our proposed algorithm has higher correlations with ground-measurements. Between 2001 and 2010, LE shows generally negative trends in most regions of China, though positive LE trends occur over 39% of the region, primarily in Northeast, North and South China. Our results indicate that the variations of terrestrial LE are responding to large-scale droughts and afforestation caused by human activity with direct links to terrestrial energy exchange, both spatially and temporally. (C) 2012 Elsevier B.V. All rights reserved.