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An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product: An investigation of forward/retrieval model asymmetries

机译:水瓶座/ SAC-D土壤水分产品观测系统仿真实验(OSSE):对前进/检索模型不对称的调查

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An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D mission has been developed for assessing the accuracy of soil moisture retrieval from passive and active L band. So far, this OSSE has been successfully exploited to study the artifacts in the retrieved soil moisture associated to: (1) uncertainties and aggregation of the ancillary parameters needed for the retrieval and (2) instrumental noise effects. However, effects due to forward and retrieval model incompatibilities have not yet been studied. In this paper, OSSE attempts to capture the influence of this effect over estimated soil moisture. The emissivity of real surfaces is very complex and is strongly dependent on land cover type and condition. In particular, surface covered by average to dense vegetation presents complex scattering properties, heavily related to canopy structure. The OSSE implements a forward model using a theoretical approach based on the electromagnetic modeling of vegetation elements and high order radiative transfer theory. In this way, the difficulties related to retrieving soil moisture from passive data with a simple model are studied. The accuracy of the soil moisture estimation is analyzed on a set of selected footprints in order to illustrate the impact of discrepancies between both models. In general, retrieved soil moisture performs worse over dense vegetated areas and under wet conditions. Furthermore, accuracy is highly dependent on land cover.
机译:一个观测系统模拟实验(OSSE),用于水瓶/ SAC-d使命已经开发了用于从无源和有源L波段评估土壤湿度检索的准确性。到目前为止,这种OSSE已成功地利用学习关联到在所检索的土壤湿度的构件:(1)不确定性和所需检索和(2)仪器的噪声效应的辅助参数的聚集。然而,由于前向和检索模型不兼容的影响还没有被研究。在本文中,OSSE试图捕捉到了这个效果高估土壤水分的影响。真实表面的辐射是非常复杂的,是强烈地依赖于土地覆盖类型和条件。特别是,表面覆盖平均茂密的植被呈现复杂的散射特性,很大程度上关系到冠层结构。该OSSE实现了使用基于植被元素和高阶辐射传输理论的电磁建模的理论方法的正向模型。通过这种方式,涉及到从一个简单的模型被动数据获取土壤水分的困难进行了研究。土壤水分估计的精度为了说明这两种模式之间的差异的影响,对一组选定的脚印进行分析。在一般情况下,检索到的土壤湿度执行得很差了密集的植被区和潮湿的条件下。此外,精确度高度依赖于土地覆盖。

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