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Assessment of soil moisture retrieval with numerical weather prediction model temperatures

机译:利用数值天气预报模型温度评估土壤水分

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The effect of using a Numerical Weather Prediction (NWP) soil temperature product instead of estimates provided by concurrent 37 GHz data on satellite-based passive microwave retrieval of soil moisture was evaluated. This was prompted by the change in system configuration of preceding multi-frequency satellites to new single frequency L-band missions. In situ soil moisture data from four watershed sites in the USA were used to assess this change with one soil moisture retrieval algorithm. The temperature product substitution resulted in a large decrease in sensitivity to in situ soil moisture changes, and illustrates the complications of moving from a coincident source to interpolation of modelled temperature.
机译:评估了使用数字天气预报(NWP)的土壤温度产物代替同时存在的37 GHz数据提供的估计值对基于卫星的被动微波获取土壤水分的效果。这是因为以前的多频卫星的系统配置已更改为新的单频L波段任务。来自美国四个流域站点的原位土壤水分数据通过一种土壤水分检索算法用于评估这种变化。温度产物的替代导致对原位土壤水分变化的敏感性大大降低,并说明了从重合源移动到模拟温度插值的复杂性。

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