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| MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley-Taylor algorithm | |
| Yao, Yunjun1,2; Liang, Shunlin1,2,3; Cheng, Jie1,2; Liu, Shaomin4; Fisher, Joshua B.; Zhang, Xudong6; Jia, Kun1,2; Zhao, Xiang1,2; Qing, Qiming7; Zhao, Bin8; Han, Shijie9; Zhou, Guangsheng10; Zhou, Guoyi11; Li, Yuelin11; Zhao, Shaohua12 | |
| 2013 | |
| Source Publication | AGRICULTURAL AND FOREST METEOROLOGY
 |
| ISSN | 0168-1923 |
| Volume | 171Pages:187-202 |
| Abstract | 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. |
| Keyword | Latent heat flux Evapotranspiration Priestley-Taylor MODIS China |
| Subject Area | Agronomy ; Forestry ; Meteorology & Atmospheric Sciences |
| DOI | 10.1016/j.agrformet.2012.11.016 |
| Indexed By | SCI |
| Language | 英语 |
| WOS Keyword | NET PRIMARY PRODUCTION ; SURFACE-ENERGY BALANCE ; CARBON-DIOXIDE ; DEEP ROOTS ; EVAPOTRANSPIRATION ; EVAPORATION ; RADIATION ; SOIL ; DROUGHT ; TEMPERATURE |
| WOS Research Area | Science Citation Index Expanded (SCI-EXPANDED) |
| WOS ID | WOS:000316513000018 |
| Publisher | ELSEVIER |
| Subtype | Article |
| Publication Place | AMSTERDAM |
| EISSN | 1873-2240 |
| Funding Organization | Special Foundation for Free Exploration of State Laboratory of Remote Sensing Science ; Natural Science Fund of China(National Natural Science Foundation of China (NSFC)) ; High-Tech Research and Development Program of China(National High Technology Research and Development Program of China) ; Advance Research Program of Civil Aerospace Technology |
| Corresponding Author Email | Zhao, Bin/E-5349-2010 ; Li, Yuelin/D-7249-2011 ; Zhao, Bin/I-3651-2013 ; Zhao, Bing/HNJ-6617-2023 ; xin, chen/AAF-9544-2020 ; liang, shunlin/C-2809-2015 ; Cheng, Jie/G-2039-2011 ; Jia, Kun/Q-6539-2016 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ibcas.ac.cn/handle/2S10CLM1/28111 |
| Collection | 植被与环境变化国家重点实验室 |
| Affiliation | 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.Fisher, Joshua B.] 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 |
| Recommended Citation GB/T 7714 | Yao, Yunjun,Liang, Shunlin,Cheng, Jie,et al. MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley-Taylor algorithm[J]. AGRICULTURAL AND FOREST METEOROLOGY,2013,171:187-202. |
| APA | Yao, Yunjun.,Liang, Shunlin.,Cheng, Jie.,Liu, Shaomin.,Fisher, Joshua B..,...&Zhao, Shaohua.(2013).MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley-Taylor algorithm.AGRICULTURAL AND FOREST METEOROLOGY,171,187-202. |
| MLA | Yao, Yunjun,et al."MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley-Taylor algorithm".AGRICULTURAL AND FOREST METEOROLOGY 171(2013):187-202. |
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| MODIS_driven_estimat（4059KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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