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Craig R. Ferguson, Eric F. Wood, and Raghuveer K. Vinukollu

, and snow ( Gao et al. 2006 ). Therefore, regions with high (>5%) surface water fraction, frozen ( T < 273 K) or snow-covered ground, or dense vegetation (vegetation optical thickness > 0.8) are all assigned missing values in the LPRM. For nonmissing values, the LPRM provides a quality flag. Only estimates of “nominal” or higher accuracy are used. For additional quality control, we apply the global porosity map used in the LPRM dielectric mixing module to screen out any pixel that does not exhibit

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Xubin Zeng, Zhuo Wang, and Aihui Wang

. While this study focuses on arid regions, relevant revisions will be formulated for all vegetation types with different fractional vegetation cover so that these revisions can be further tested and evaluated by the community in the future. Section 2 elaborates on these three questions and suggests preliminary solutions based on theoretical arguments and synthesis of previous observational and modeling efforts. Section 3 discusses sensitivity test results using observational data at two barren

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