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Precipitation estimation using L-band and C-band soil moisture retrievals

机译:利用L波段和C波段土壤水分反演进行降水估算

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摘要

An established methodology for estimating precipitation amounts from satellite-based soil moisture retrievals is applied to L-band products from the Soil Moisture Active Passive (SMAP) and Soil Moisture and Ocean Salinity (SMOS) satellite missions and to a C-band product from the Advanced Scatterometer (ASCAT) mission. The precipitation estimates so obtained are evaluated against in situ (gauge-based) precipitation observations from across the globe. The precipitation estimation skill achieved using the L-band SMAP and SMOS data sets is higher than that obtained with the C-band product, as might be expected given that L-band is sensitive to a thicker layer of soil and thereby provides more information on the response of soil moisture to precipitation. The square of the correlation coefficient between the SMAP-based precipitation estimates and the observations (for aggregations to approximate to 100 km and 5 days) is on average about 0.6 in areas of high rain gauge density. Satellite missions specifically designed to monitor soil moisture thus do provide significant information on precipitation variability, information that could contribute to efforts in global precipitation estimation.
机译:一种既定的估算基于卫星的土壤水分反演的降水量的方法,被应用于土壤水分主动无源(SMAP)和土壤水分与海洋盐分(SMOS)卫星任务的L波段产品,以及来自卫星活动的C波段产品。高级散射仪(ASCAT)任务。如此获得的降水量估计值是根据来自全球的实地(基于仪表)的降水量观测值进行评估的。使用L波段SMAP和SMOS数据集获得的降水估算技能要比使用C波段产品获得的降水估算技能更高,这是可以预期的,因为L波段对较厚的土壤层敏感,因此可以提供更多有关土壤水分对降水的响应。在高雨量密度的地区,基于SMAP的降水估计与观测值之间的相关系数的平方(对于约100 km和5天的集合而言)平均约为0.6。因此,专门用于监测土壤湿度的卫星任务确实提供了有关降水变化的重要信息,这些信息可能有助于全球降水估算。

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