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Intercomparison of Multiply Soil Surface Roughness Data Sets Over the Tibetan Plateau

Surface roughness plays an important role in retrieving soil moisture from microwave observations. Currently, microwave measurements at low-frequency bands (L, S, C, and X bands) provide global soil moisture data as well as surface roughness information. In this study, four global surface roughness products, including the one used in SMOS standard algorithm (named as SMOSHR), one derived from SMOS soil moisture product (named as SMOSD), the one used in SMAP algorithm (named as SMAPHR) and the one retrieved from AMSR-E soil moisture products (named as AMSRQH), were compared against the in situ measured surface roughness values at Pali network in the Tibetan Plateau. The roughness values of SMOSHR and SMAPHR show the same spatial pattern as the measured data at Pali network. Moreover, SMAPHR and SMOSHR have similar spatial pattern over the Tibetan Plateau. However, SMOSD shows different spatial pattern with the other two both at Pali network and over the Tibetan Plateau. Since similar surface roughness parameterization and values were adopted in SMOS and SMAP algorithm, their soil moisture products show consistent spatiotemporal pattern, which could benefit the merging of various soil moisture products across different sensors and platforms.