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土壤湿度遥感估算同化研究综述

DOI: 10.11867/j.issn.1001-8166.2015.06.0668, PP. 668-679

Keywords: 数据同化,土壤湿度,陆面过程模型,遥感数据集

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Abstract:

土壤湿度是影响气候的至关重要的变量之一。利用数据同化方法反演大规模高精度土壤湿度数据是目前土壤水分研究的一个重要方向。结合国内外土壤湿度遥感估算研究现状,总结了土壤水分同化算法主要应用进程,梳理了目前实现土壤水分反演且应用广泛的陆面过程模型,Noah模型、通用陆面过程模型CLM、简单生物圈模型SiB2、北方生产力模拟模型BEPS,介绍了大范围卫星土壤水分数据集,包括陆面同化系统数据集、ASCAT数据集、AMSRE数据集及SMOS数据集,最后探讨了遥感土壤水分同化过程中存在的问题及发展方向。

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