Aquarius/SAC-D土壤湿度产品的观测系统模拟实验

S. M. I. Cintia A. Bruscantini, W. Crow, F. Grings, P. Perna, M. Maas, H. Karszenbaum, J. Jacobo-Berlles
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引用次数: 3

摘要

正在为Aquarius/SAC-D任务开发一个观测系统模拟实验,以评估从被动和主动l波段遥感反演土壤湿度的准确性。OSSE的实现基于:红阿肯色河流域1 km陆地表面模型,模拟辐射计和散射计观测的后向散射模型和正向微波发射模型,重新采样测量的真实轨道和传感器模型,以及土壤水分反演模型。模拟采用零阶辐射传递模型模拟发射,后向散射采用杜波依斯模型模拟。检索是通过直接反转完成的。Aquarius OSSE试图捕捉不同误差源的影响:地表异质性、仪器噪声和检索辅助参数的不确定性。为了评估这些误差源对估算体积土壤水分的影响,通过将足迹尺度合成土壤水分产品与高空间分辨率退化的粗分辨率“真实”土壤水分产品进行比较,进行定量误差分析。对所有条件下的均方根误差进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product
An Observing System Simulation Experiment for the Aquarius/SAC-D mission is being developed for assessing the accuracy of soil moisture retrieval from passive and active L-band remote sensing. The implementation of the OSSE is based on: a 1-km land surface model over the Red-Arkansas River Basin, a backscatter model and a forward microwave emission model to simulate the radiometer and scatterometer observations, a realistic orbital and sensor model to resample the measurements, and an inverse soil moisture retrieval model. The simulation implements zero-order radiative transfer model for emission and Dubois model for backscattering. Retrieval is done by direct inversion. The Aquarius OSSE attempts to capture the influence of different error sources: land surface heterogeneity, instrument noise and retrieval ancillary parameter uncertainty. In order to assess the impact of these error sources on the estimated volumetric soil moisture, a quantitative error analysis is performed through the comparison between of footprint-scale synthetic soil moisture product and high spatial resolution degraded at coarse resolution `true' soil moisture product. The root mean squared errors are evaluated for all the conditions.
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