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Large-Scale Hydrological Fluxes as Revealed by Data from the Soil Moisture Active-Passive Mission

机译:土壤水分主动-被动任务数据揭示的大规模水文通量

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Given that the near-surface soil acts as a “gateway” for many hydrological processes (e.g., infiltration into the soil, evaporation from the soil), and given that the Soil Moisture Active-Passive (SMAP) passive radiometer can sense soil moisture in the top 5 cm of soil at regular intervals, SMAP soil moisture retrievals offer the potential for providing useful information on large-scale hydrological fluxes, including precipitation and streamflow. This idea is explored here through the joint analysis of SMAP soil moisture retrievals, gauge-based precipitation data, and stream gauge measurements covering the warm seasons (June-September) of the years 2015-2017. Results are presented for two representative hydrological basins. SMAP-based estimates of 10-day precipitation and streamflow averages in these basins are found to be reasonably accurate as long as the precipitation and/or streamflow occurring in nature is not too extreme.
机译:鉴于近表面土作用作为“网关”进行许多水文过程(例如,浸润到土壤中,从土壤中蒸发),并给出土壤水分有源被动(SmaP)被动辐射计可以感知土壤水分常规间隔的5厘米的土壤,Smap土壤水分检索提供有关大规模水文助水资源的有用信息的可能性,包括降水和流出。这里通过联合分析了对微小水分检索,衡量的降水数据和流量表测量的联合分析,涵盖了2015 - 2017年的温暖季节(九月至9月)的联合分析。结果显示为两个代表性水文盆地。只要在自然中发生的降水和/或流出并不太极端,就发现基于SMAP的10天降水量和流出流平均值的估计是合理准确的。

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