期刊
GEOPHYSICAL RESEARCH LETTERS
卷 49, 期 15, 页码 -出版社
AMER GEOPHYSICAL UNION
DOI: 10.1029/2021GL097568
关键词
evaporation; aerodynamic temperature; thermal remote sensing; water stress; canopy conductance; VPD
资金
- ESA CCI+ Phase1 New ECVS LST (ESA) [400123553/18/I-NB]
- SMARTIES funding through FNR-PRIMA [INTER/PRIMA/19/13566440/SMARTIES]
- FNR Luxembourg [INTER/MOBILITY/2020/14521920/MONASTIC]
- FNR [C19/SR/13652816]
- NASA Ecostress project
- US Department of Energy, Office of Science
- National Collaborative Infrastructure Strategy through the Terrestrial Ecosystem Research Network
- Australian Research Council DECRA Fellowship [DE190101182]
- Australian Research Council [DE190101182] Funding Source: Australian Research Council
Global evaporation monitoring has been historically challenging due to the lack of direct measurements of aerodynamic temperature. This study presents a non-parametric model that directly retrieves evaporation from thermal satellite data without the need for empirical corrections. The results show significant agreement with eddy covariance observations across various biomes and aridity levels. This research provides a new perspective for global evaporation mapping and emphasizes the critical role of biophysical interactions in evaporation processes.
Global evaporation monitoring from Earth observation thermal infrared satellite missions is historically challenged due to the unavailability of any direct measurements of aerodynamic temperature. State-of-the-art one-source evaporation models use remotely sensed radiometric surface temperature as a substitute for the aerodynamic temperature and apply empirical corrections to accommodate for their inequality. This introduces substantial uncertainty in operational drought mapping over complex landscapes. By employing a non-parametric model, we show that evaporation can be directly retrieved from thermal satellite data without the need of any empirical correction. Independent evaluation of evaporation in a broad spectrum of biome and aridity yielded statistically significant results when compared with eddy covariance observations. While our simplified model provides a new perspective to advance spatio-temporal evaporation mapping from any thermal remote sensing mission, the direct retrieval of aerodynamic temperature also generates the highly required insight on the critical role of biophysical interactions in global evaporation research.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据