ET-WB: water-balance-based estimations of terrestrial evaporation over global land and major global basins

作者：Jinghua Xiong, Abhishek, Li Xu, Hrishikesh A. Chandanpurkar, J. S. Famiglietti, Chong Zhang, Gionata Ghiggi, Shenglian Guo, Yun Pan, Bramha Dutt Vishwakarma · 发表于：Earth system science data · 年份：2023 · DOI：10.5194/essd-15-4571-2023 · 被引用次数：38 · 研究领域：Hydrology and Watershed Management Studies、Climate variability and models、Flood Risk Assessment and Management

Abstract. Evaporation (ET) is one of the crucial components of the water cycle, which serves as the nexus between global water, energy, and carbon cycles. Accurate quantification of ET is, therefore, pivotal in understanding various earth system processes and subsequent societal applications. The prevailing approaches for ET retrievals are either limited in spatiotemporal coverage or largely influenced by the choice of input data or simplified model physics, or a combination thereof. Here, using an independent mass conservation approach, we develop water-balance-based ET datasets (ET-WB) for the global land and the selected 168 major river basins. We generate 4669 probabilistic unique combinations of the ET-WB leveraging multi-source datasets (23 precipitation, 29 runoff, and 7 storage change datasets) from satellite products, in situ measurements, reanalysis, and hydrological simulations. We compare our results with the four auxiliary global ET datasets and previous regional studies, followed by a rigorous discussion of the uncertainties, their possible sources, and potential ways to constrain them. The seasonal cycle of global ET-WB possesses a unimodal distribution with the highest (median value: 65.61 mm per month) and lowest (median value: 36.11 mm per month) values in July and January, respectively, with the spread range of roughly ±10 mm per month from different subsets of the ensemble. Auxiliary ET products illustrate similar intra-annual characteristics with some ove...