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Use of Atmospheric Budget to Reduce Uncertainty in Estimated Water Availability over South Asia from Different Reanalyses

机译:利用大气预算减少来自不同分析的南亚估计可用水量的不确定性

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摘要

Disagreements across different reanalyses over South Asia result into uncertainty in assessment of water availability, which is computed as the difference between Precipitation and Evapotranspiration (P–E). Here, we compute P–E directly from atmospheric budget with divergence of moisture flux for different reanalyses and find improved correlation with observed values of P–E, acquired from station and satellite data. We also find reduced closure terms for water cycle computed with atmospheric budget, analysed over South Asian landmass, when compared to that obtained with individual values of P and E. The P–E value derived with atmospheric budget is more consistent with energy budget, when we use top-of-atmosphere radiation for the same. For analysing water cycle, we use runoff from Global Land Data Assimilation System, and water storage from Gravity Recovery and Climate Experiment. We find improvements in agreements across different reanalyses, in terms of inter-annual cross correlation when atmospheric budget is used to estimate P–E and hence, emphasize to use the same for estimations of water availability in South Asia to reduce uncertainty. Our results on water availability with reduced uncertainty over highly populated monsoon driven South Asia will be useful for water management and agricultural decision making.
机译:南亚各地不同再分析之间的分歧导致对水资源可用性的评估存在不确定性,其计算方法为降水量与蒸散量(PE)之间的差异。在这里,我们直接根据大气预算和不同通量的水汽通量的差异来计算P–E,并发现与从台站和卫星数据获取的P–E的观测值之间存在更好的相关性。我们还发现,与用P和E的单个值获得的水相比,用大气预算计算的水循环的关闭项减少了(与单独的P和E值相比)。用大气预算得出的P–E值与能源预算更加一致。我们将大气层顶部的辐射保持不变。为了分析水循环,我们使用了全球土地数据同化系统中的径流,以及重力恢复和气候实验中的蓄水量。当大气预算用于估算PE时,我们发现在跨年度再相关方面,跨重新分析的协议有所改进,因此,强调在南亚的可用水量估算中应使用相同的方法,以减少不确定性。我们关于在季风驱动的南亚地区可获得的水量和不确定性降低的结果将对水管理和农业决策有用。

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