气候变化领域集成服务门户(CCPortal): Remote Sensing of Global Daily Evapotranspiration based on a Surface Energy Balance Method and Reanalysis Data

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DOI	10.1029/2020JD032873
	Remote Sensing of Global Daily Evapotranspiration based on a Surface Energy Balance Method and Reanalysis Data
	Chen X.; Su Z.; Ma Y.; Trigo I.; Gentine P.
发表日期	2021
ISSN	2169-897X
卷号	126 期号:16
英文摘要	Currently available evapotranspiration (ET) products have not provided us with an accurate estimation for global irrigated land area. Thermal energy balance (EB) model has the potential to solve this problem. The accurate estimation of aerodynamic resistances is a major complication in most remote sensing ET models. An EB model using a column canopy-air turbulent heat diffusion method was developed to more realistically depict dynamic changes in aerodynamic resistance. In order to estimate global ET and land surface fluxes for all weather conditions, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua and Terra land surface temperature fields were combined and a nearest-evaporative-fraction gap-filling method was merged into the EB model. A global ET product covering the period 2003–2017 was produced using the EB model. By combining thermal and optional information from MODIS satellites and surface meteorological forcing data from ERA-Interim reanalysis data, the EB model provides a 5 × 5 km resolution estimate of daily ET without spatio-temporal gaps at the global scale. Assessment of the daily EB ET at 238 flux sites showed a mean bias of 0.05 mm/day and an RMSE of 1.56 mm/day. Analysis of global precipitation minus ET demonstrated that EB ET has a relatively higher potential for agriculture water resource management than currently available global ET products, such as Landflux, GLEAM, MOD16, GLDAS, and ERA-Interim ET. In addition, the EB model developed in this study can be applied to both polar and geostationary satellite thermal sensors. © 2021. The Authors.
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/237103
作者单位	Land-Atmoshere Interaction and its Climatic Effects Group, State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China; Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, Netherlands; Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, School of Water and Environment, Chang'an University, Xi'an, China; University of Chinese Academy of Sciences, Beijing, China; Center for Pan-third Pole Environment, Lanzhou University, Lanzhou, China; Instituto Português do Mar e da Atmosfera, Lisbon, Portugal; Earth and Environmental Engineering, Columbia University, New York, NY, United States
推荐引用方式 GB/T 7714	Chen X.,Su Z.,Ma Y.,et al. Remote Sensing of Global Daily Evapotranspiration based on a Surface Energy Balance Method and Reanalysis Data[J],2021,126(16).
APA	Chen X.,Su Z.,Ma Y.,Trigo I.,&Gentine P..(2021).Remote Sensing of Global Daily Evapotranspiration based on a Surface Energy Balance Method and Reanalysis Data.Journal of Geophysical Research: Atmospheres,126(16).
MLA	Chen X.,et al."Remote Sensing of Global Daily Evapotranspiration based on a Surface Energy Balance Method and Reanalysis Data".Journal of Geophysical Research: Atmospheres 126.16(2021).