蒸发
环境科学
土壤科学
水分
分辨率(逻辑)
地理
气象学
计算机科学
人工智能
作者
Diego G. Miralles,Olivier Bonte,Akash Koppa,Oscar M. Baez-Villanueva,Emma Tronquo,Feng Zhong,Hylke E. Beck,Petra Hulsman,Wouter Dorigo,Niko E. C. Verhoest,Shekoofeh Haghdoost
标识
DOI:10.1038/s41597-025-04610-y
摘要
Terrestrial evaporation plays a crucial role in modulating climate and water resources. Here, we present a continuous, daily dataset covering 1980–2023 with a 0.1°spatial resolution, produced using the fourth generation of the Global Land Evaporation Amsterdam Model (GLEAM). GLEAM4 embraces developments in hybrid modelling, learning evaporative stress from eddy-covariance and sapflow data. It features improved representation of key factors such as interception, atmospheric water demand, soil moisture, and plant access to groundwater. Estimates are inter-compared with existing global evaporation products and validated against in situ measurements, including data from 473 eddy-covariance sites, showing a median correlation of 0.73, root-mean-square error of 0.95 mm d−1, and Kling–Gupta efficiency of 0.49. Global land evaporation is estimated at 68.5 × 103 km3 yr−1, with 62% attributed to transpiration. Beyond actual evaporation and its components (transpiration, interception loss, soil evaporation, etc.), the dataset also provides soil moisture, potential evaporation, sensible heat flux, and evaporative stress, facilitating a wide range of hydrological, climatic, and ecological studies.
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