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A downscaling method for distributing surface soil moisture within a microwave pixel: Application to the Monsoon '90 data

机译:一种在微波像素内分配表层土壤水分的缩小尺度方法:应用于Monsoon '90数据

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A downscaling method for the near-surface soil moisture retrieved from passive microwave sensors is applied to the PBMR data collected during the Monsoon '90 experiment. The downscaling method requires (1) the coarse resolution microwave observations, (2) the fine-scale distribution of soil temperature and (3) the fine-scale distribution of surface conditions composed of atmospheric forcing and the parameters involved in the modeling of land surface-atmosphere interactions. During the Monsoon '90 experiment, eight ground-based meteorological and flux stations were operating over the 150km(2) study area simultaneously with the acquisition of the aircraft-based L-band PBMR data. The heterogeneous scene is hence composed of eight subpixels and the microwave pixel is generated by aggregating the microwave emission of all sites. The results indicate a good agreement between the downscaled and ground-based soil moisture as long as the intensity of solar radiation is sufficiently high to use the soil temperature as a tracer of the spatial variability of near-surface soil moisture. (c) 2006 Elsevier Inc. All rights reserved.
机译:从无源微波传感器中获取的近地表土壤水分的一种按比例缩小的方法应用于在90季风试验期间收集的PBMR数据。缩小规模的方法需要(1)粗分辨率的微波观测,(2)土壤温度的精细分布和(3)由大气强迫和涉及地表建模的参数组成的表面条件的精细分布-大气相互作用。在90季风试验期间,在150公里(2)的研究范围内,有八个地面气象站和通量站正在运行,同时获取了基于飞机的L波段PBMR数据。因此,异构场景由八个子像素组成,并且微波像素是通过汇总所有位置的微波发射而生成的。结果表明,只要太阳辐射强度足够高,可以利用土壤温度作为近地表土壤水分空间变异性的示踪剂,那么缩小规模的土壤水分和地面土壤水分就可以达成良好的协议。 (c)2006 Elsevier Inc.保留所有权利。

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