Yao, Y., S. Liang, J. Cheng, S. Liu, J. B. Fisher, X. Zhang, K. Jia, X. Zhao, Q. Qin, B. Zhao, S. J. Han, G. S. Zhou, G. Y. Zhou, Y. L. Li, and S. H. Zhao. 2013. MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley–Taylor algorithm. Agricultural and Forest Meteorology 171-172:187-202.
| 文献信息 | |
| Type Of Reference | JOUR |
| Title | MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley–Taylor algorithm |
| Authors | Yao, Yunjun| Liang, Shunlin| Cheng, Jie| Liu, Shaomin| Fisher, Joshua B.| Zhang, Xudong| Jia, Kun| Zhao, Xiang| Qin, Qiming| Zhao, Bin| Han, Shijie| Zhou, Guangsheng| Zhou, Guoyi| Li, Yuelin| Zhao, Shaohua| |
| Secondary Title | Agricultural and Forest Meteorology |
| 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° 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 W m−2 and −6.4 W m−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. |
| Date | 2013//15/ |
| Year | 2013 |
| DOI | 10.1016/j.agrformet.2012.11.016 |
| Database Provider | ScienceDirect |
| volume | 171–172 |
| Start Page | 187 |
| Alternate Title1 | Agricultural and Forest Meteorology |
| Issn | 0168-1923 |
| Url | http://www.sciencedirect.com/science/article/pii/S016819231200353X |
| Access Date | 2013/11/20/05:19:34 |
| Keywords | China| Evapotranspiration| latent heat flux| MODIS| Priestley–Taylor| |
| file_attachments2 | http://www.sciencedirect.com/science/article/pii/S016819231200353X |
| notes | <p>http://westdc.westgis.ac.cn/data/ca50f052-b409-48eb-a18b-1787e8d19062</p> |
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