Soil moisture is an important parameter in hydrological circulation. For the microwave signal at L-band is very sensitive
to the soil moisture, there have been many algorithms to retrieve soil moisture at L-band. The Soil Moisture and Ocean
Salinity (SMOS) mission is launched in 2009, and the surface soil moisture retrieving is based on the inversion of the Lband
Microwave Emission of the Biosphere (L-MEB) radiative transfer model. Due to the heterogeneity of the surface,
the capability of the model remains to be verified in some region. In the study, the brightness temperature at L-band in
Heihe River Basin is simulated by using the τ-ω model firstly. Secondly, the sensitivity analysis of the model on the
parameters is conducted to get the optimal results. At last, the simulated brightness temperature is calculated by using the
adjusted parameters, and the PLMR microwave brightness temperature is used to validate the simulation results. It turns
out that the root-mean-square errors between L-MEB simulated and PLMR are 9K to 12K for V-polarization, and 6K to
8K at H-polarization respectively at different angles, which proves the L-MEB model have an good capability in the of
China.
Snow cover is an important parameter in the hydrological applications and global climate change research. Accurate
snow cover information in daily basis is significant in weather forecasting, hydrological model and other applications.
High temporal resolution of geostationary data can provide snow cover maps with less cloud obscuration. In this paper,
Fengyun-2 geostationary satellites (FY-2D and FY-2E) and Multi-functional Transport Satellite-2 (MTSAT-2) data were
compared and used in snow cover mapping over China. FY-2D, FY-2E and MTSAT-2 data calibrated by GSICS was
compared firstly. Then we used the same snow cover algorithm to test the performance of the three geostationary
satellites on January and February, 2013 over China. Meteorological station observations were utilized to validate the
snow cover maps of FY-2D, FY-2E and MTSAT-2. Results indicated that FY-2D and FY-2E presented similar and good
performance over China, with overall accuracy about 92%. On the other hand, the overall accuracy of MTSAT-2 was
approximately 88%, which was lower than FY-2D and FY-2E. Further calibration of the MTSAT-2 data with FY-2D/E
should be considered in future study.
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