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An initial assessment of SMAP soil moisture retrievals using high-resolution model simulations and in situ observations

机译:利用高分辨率模型仿真和原位观测资料初步评估SMAP土壤水分

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摘要

At the end of its first year of operation, we compare soil moisture retrievals from the Soil Moisture Active Passive (SMAP) mission to simulations from a land surface model with meteorological forcing downscaled from observations/reanalysis and in situ observations from sparse monitoring networks within continental United States (CONUS). The radar failure limits the duration of comparisons for the active and combined products (similar to 3 months). Nevertheless, the passive product compares very well against in situ observations over CONUS. On average, SMAP compares to the in situ data even better than the land surface model and provides significant added value on top of the model and thus good potential for data assimilation. At large scale, SMAP is in good agreement with the model in most of CONUS with less-than-expected degradation over mountainous areas. Lower correlation between SMAP and the model is seen in the forested east CONUS and significantly lower over the Canadian boreal forests.
机译:在运行的第一年结束时,我们比较了从土壤水分主动被动(SMAP)任务获取的土壤水分与通过气象强迫从观测/重新分析以及从稀疏监测网络中的稀疏监测网络进行的原地观测得到的按比例缩小的地面模型的模拟结果美国(CONUS)。雷达故障限制了有效产品和组合产品的比较持续时间(大约3个月)。但是,被动产品与CONUS上的现场观察结果相比非常好。平均而言,SMAP与现场数据的比较甚至比陆地表面模型更好,并且在模型之上提供了显着的附加值,因此具有很好的数据同化潜力。大规模地,SMAP与大多数CONUS中的模型非常吻合,山区退化程度低于预期。 SMAP与模型之间的相关性较低,可见于东部东部的森林中,而在加拿大的北方森林中则较低。

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