A worldwide evaluation of basin-scale evapotranspiration estimates against the water balance method
A worldwide evaluation of basin-scale evapotranspiration estimates against the water balance method
复制标题
根据水平衡法对流域尺度蒸散量估算进行全球评估
DOI：
10.1016/j.jhydrol.2016.04.006
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发表时间：
2016-07-01
影响因子：
6.4
通讯作者：
Sang, Yan-Fang
中科院分区：
文献类型：
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作者：
Liu, Wenbin;Wang, Lei;Sang, Yan-Fang
蒸散发（ET）在连接水和能量循环中起着关键作用，但在区域和流域尺度上难以估计。在这项研究中，我们对全球35个流域的9个ET产品（3个诊断产品，3个陆地表面模型（LSM）模拟和3个基于再分析的产品）进行了全球范围内的评估，并对参考ET （ETWb）进行了评估，这些ET （ETWb）是使用水平衡法修正了1983-2006年年时间尺度上的储水量变化。结果表明：35个流域使用不同产品计算的年蒸散发在类别内没有显著差异，但有些产品的表现优于其他产品，如诊断产品中使用阿姆斯特丹方法估算的全球地表蒸发量（GLEAM_E）， LSM模拟中使用全球土地数据同化系统版本1 （GLDAS 1）和社区土地模式方案（GCLM_E）计算的蒸散发；和美国国家航空航天局（NASA）现代回溯分析研究与应用再分析数据集（MERRA_E）的ET。几乎所有ET产品（MERRA_E除外）都能合理地估计年平均（特别是在干流域），但系统地低估了年际变率（除了MERRA_E、GCLM_E和GLDAS 1用MOSAIC方案- GMOS_E模拟的ET），不能充分估计ettwb的趋势（例如GCLM_E和MERRA_E），特别是在能量有限的湿流域。9个ET产品的不确定性可能主要归因于强迫数据集的差异和模式结构的限制。全球强迫数据（气象数据、太阳辐射、土壤水分应力和储水变化）和模式物理（合理考虑水能量平衡和植被过程如冠层截流损失）的增强无疑将改善未来全球ET的估算。(C) 2016年作者。Elsevier B.V.出版
Evapotranspiration (ET) plays a critical role in linking the water and energy cycles but is difficult to estimate at regional and basin scales. In this study, we present a worldwide evaluation of nine ET products (three diagnostic products, three land surface model (LSM) simulations and three reanalysis-based products) against reference ET (ETWb) calculated using the water balance method corrected for the water storage change at an annual time scale over the period 1983-2006 for 35 global river basins. The results indicated that there was no significant intra-category discrepancy in the annual ET estimates for the 35 basins calculated using the different products in 35 basins, but some products performed better than others, such as the Global Land surface Evaporation estimated using the Amsterdam Methodology (GLEAM_E) in the diagnostic products, ET obtained from the Global Land Data Assimilation System version 1 (GLDAS 1) with the Community Land Model scheme (GCLM_E) in LSM simulations, and ET from the National Aeronautics and Space Administration (NASA) Modern Era Retrospective-analysis for Research and Applications reanalysis dataset (MERRA_E) in the reanalysis-based products. Almost all ET products (except MERRA_E) reasonably estimated the annual means (especially in the dry basins) but systematically underestimated the inter-annual variability (except for MERRA_E, GCLM_E and ET simulation from the GLDAS 1 with the MOSAIC scheme - GMOS_E) and could not adequately estimate the trends (e.g. GCLM_E and MERRA_E) of ETwb, (especially in the energy-limited wet basins). The uncertainties in nine ET products may be primarily attributed to the discrepancies in the forcing datasets and model structural limitations. The enhancements of global forcing data (meteorological data, solar radiation, soil moisture stress and water storage changes) and model physics (reasonable consideration of the water and energy balance and vegetation processes such as canopy interception loss) will undoubtedly improve the estimation of global ET in the future. (C) 2016 The Authors. Published by Elsevier B.V.