Satellite-based near-real-time global daily terrestrial evapotranspiration estimates
文献类型：期刊论文
| 作者 | Huang, Lei7,8,9; Luo, Yong6; Chen, Jing M.4,5; Tang, Qiuhong3; Steenhuis, Tammo2; Cheng, Wei1; Shi, Wen6 |
| 刊名 | EARTH SYSTEM SCIENCE DATA
 |
| 出版日期 | 2024-09-12 |
| 卷号 | 16期号:9页码:3993-4019 |
| ISSN号 | 1866-3508 |
| DOI | 10.5194/essd-16-3993-2024 |
| 产权排序 | 7 |
| 英文摘要 | Accurate and timely global evapotranspiration (ET) data are crucial for agriculture, water resource management, and drought forecasting. Although numerous satellite-based ET products are available, few offer near-real-time data. For instance, products like NASA's ECOsystem Spaceborne Thermal Radiometer Experiment mounted on the International Space Station (ECOSTRESS) and MOD16 face challenges such as uneven coverage and delays exceeding 1 week in data availability. In this study, we refined the Variation of the Standard Evapotranspiration Algorithm (VISEA) by fully integrating satellite-based data, e.g., European Centre for Medium-Range Weather Forecasts ERA5-Land shortwave radiation (which includes satellite remote sensing data within its assimilation system) and MODIS land surface data (which include surface reflectance, temperature and/or emissivity, land cover, vegetation indices, and albedo as inputs). This enables VISEA to provide near-real-time global daily ET estimates with a maximum delay of 1 week at a resolution of 0.05 degrees. Its accuracy was assessed globally using observation data from 149 flux towers across 12 land cover types and comparing them with five other satellite-based ET products and Global Precipitation Climatology Centre (GPCC) data. The results indicate that VISEA provides accurate ET estimates that are comparable to existing products, achieving a mean correlation coefficient (R) of about 0.6 and an RMSE of 1.4 mmd(-1). Furthermore, we demonstrated VISEA's utility in drought monitoring during a drought event in the Yangtze River basin in 2022 in which ET changes correlated with precipitation. The near-real-time capability of VISEA is, thus, especially valuable in meteorological and hydrological applications for coordinating drought relief efforts. The VISEA ET dataset is available at 10.11888/Terre.tpdc.300782 (Huang, 2023a). |
| WOS关键词 | PRIESTLEY-TAYLOR PARAMETER ; RECENT DECLINE ; EVAPORATION ; MODEL ; SOIL ; REANALYSIS ; PERFORMANCE ; RADIATION ; MOISTURE ; FLUXNET |
| 资助项目 | Ministry of Science and Technology of the People's Republic of China and the National Key Research and Development Program of China[2017YFA0603703] ; National Natural Science Foundation of China[42305029] |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001310532900001 |
| 出版者 | COPERNICUS GESELLSCHAFT MBH |
| 资助机构 | Ministry of Science and Technology of the People's Republic of China and the National Key Research and Development Program of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/208647]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 通讯作者 | Huang, Lei; Luo, Yong |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Cornell Univ, Dept Biol & Environm Engn, Ithaca, NY 14850 USA 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 4.Univ Toronto, Dept Geog & Planning, Toronto, ON M5S 3G3, Canada 5.Fujian Normal Univ, Sch Geog Sci, Key Lab Humid Subtrop Ecogeog Proc, Minist Educ, Fuzhou 350007, Peoples R China 6.Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Key Lab Earth Syst Modeling,Minist Educ, Beijing 100084, Peoples R China 7.China Meteorol Adm, Key Lab Radiometr Calibrat & Validat Environm Sate, Beijing 100081, Peoples R China 8.Innovat Ctr FengYun Meteorol Satellite FYSIC, Beijing 100081, Peoples R China 9.Natl Ctr Space Weather, Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Lei,Luo, Yong,Chen, Jing M.,et al. Satellite-based near-real-time global daily terrestrial evapotranspiration estimates[J]. EARTH SYSTEM SCIENCE DATA,2024,16(9):3993-4019. |
| APA | Huang, Lei.,Luo, Yong.,Chen, Jing M..,Tang, Qiuhong.,Steenhuis, Tammo.,...&Shi, Wen.(2024).Satellite-based near-real-time global daily terrestrial evapotranspiration estimates.EARTH SYSTEM SCIENCE DATA,16(9),3993-4019. |
| MLA | Huang, Lei,et al."Satellite-based near-real-time global daily terrestrial evapotranspiration estimates".EARTH SYSTEM SCIENCE DATA 16.9(2024):3993-4019. |
入库方式： OAI收割
来源：地理科学与资源研究所
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