Application of AMSR-E Brightness Temperature Data in Observation and Simulation of Soil Moisture Variation over Northeast Plateau
An estimation model of soil moisture from the AMSR-E brightness temperature data was coupled into the WRF-Noah mesoscale numerical model for improving the observation and model simulation ability of soil moisture over Northeast Plateau.The main condusions are as follows: Firstly the land surface soil moisture(SM) in the northeastern part of the Qinghai-Tibet Plateau was estimated by the AMSR-E brightness temperature data.Its value was something lower than the observed and the NCEP reanalysed data,but regional distribution was reasonable and the temporal variation showed a quick response to the daily precipitation.Sencondly,the estimated SM was assimilated into the WRF-Noah model by using the Newtonian relaxation assimilation method.By fine tuning of the quality factor in the Newtonian relaxation method,the simulated SM values were obviously improved in desert areas,somewhat improvements also occurred grassland,shrub and grass mixed zones.On temporal scale,the difference between the simulated and observed SM were also decreased.