Water-budget based Evapotranspiration product captures natural and human-caused variability

Shubham Goswami, Chirag Rajendra Ternikar, Rajsekhar Kandala, Netra S. Pillai, Vivek Kumar Yadav, Abhishek, Jisha Joseph, Subimal Ghosh, B. Vishwakarma
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Abstract

Evapotranspiration (ET) is one of the most important yet highly uncertain components of the water cycle. Available modelled ET products do not necessarily agree with each other at various spatiotemporal scales, either due to limitations on input data and/or due to model assumptions and simplifications. Therefore, using water budget equation to estimate ET has gained attention. However, a large number of water-budget combinations with large uncertainties are available that increases ambiguity in choosing the best ET estimate. Here, the Kalman filter is employed for ingesting 96 water-budget based ET estimates and produce a global ET product with uncertainty < 2 mm, and it captures the general spatiotemporal pattern of ET and the inter-annual variability over all continents. Since the water budget includes storage change due to human interventions, our ET estimates are superior over regions with strong irrigation signal, such as the Ganges basin. We verify our claim by using a modified variable infiltration capacity model that simulates irrigation activities as well. Our ET estimates have a global mean positive trend of 0.18 ± 0.02 mm/year with larger regional variations that are discussed.
基于水预算的蒸散量产品可捕捉自然和人为因素造成的变化
蒸散发(ET)是水循环中最重要但高度不确定的组成部分之一。由于输入数据的限制和/或由于模型假设和简化,现有的蒸散发模型产品在不同时空尺度上不一定相互一致。因此,使用水分预算方程来估算蒸散发已受到重视。然而,大量的水分预算组合具有很大的不确定性,这增加了选择最佳蒸散发估算值的模糊性。在这里,卡尔曼滤波器被用于吸收 96 个基于水预算的蒸散发估算值,并生成不确定性小于 2 毫米的全球蒸散发乘积,它捕捉到了各大洲蒸散发的一般时空模式和年际变化。由于水预算包括了人为干预引起的储量变化,我们的蒸散发估算结果在恒河流域等灌溉信号较强的地区更为理想。我们通过使用一个修改过的可变渗透容量模型来验证我们的说法,该模型也模拟了灌溉活动。我们的蒸散发估算值具有全球平均正趋势,即 0.18 ± 0.02 毫米/年,并讨论了更大的区域差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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