Bicontinuous/DMRT model applied to active and passive microwave remote sensing of terrestrial snow

Abstract

Snow and Cold Land Processes (SCLP) is a decadal satellite mission of NASA with both the passive microwave sensors and the active Synthetic Aperture Radar (SAR). Bicontinuous / DMRT model is used to model the brightness temperature and radar backscatter. We apply the approach to the ground measurement data of NoSREx campaign which has multichannel measurements in both active and passive remote sensing. The same physical parameters are used in the input of bicontinuous / DMRT for all frequency channels and for both active and passive. The bicontinuous / DMRT model prediction is compared with the microwave measurement data of NoSREx. Good agreement has been achieved for multi-channels for both active and passive remote sensing.