Combined the MM5 and MC radiative transfer model convective precipitation cloud microwave radiation characteristics
|School||Chinese Academy of Meteorological Sciences|
|Course||Atmospheric Physics and Atmospheric Environment|
|Keywords||MM5 model Radiative transfer model TRMM TMI|
MM5 mesoscale model and three-dimensional Monte-Carlo radiative transfer mode, to study microphysical structure of the storm system in the Chinese land, and convective precipitation system in a specific frequency (85.5,37.0 and 19.35GHz) surface rainfall intensity The relationship between cloud microphysical content uplink brightness temperature of the microwave radiation. The MM5 simulation while the surface precipitation compared with live simulation cloud profiles Tropical Rainfall Measuring (TRMM) satellite the inversion cloud profiles preliminary comparison. MM5 model simulated scale precipitation process in the land of China, precipitation simulation results on the ground and live closer to, and given the number of cloud microphysical structure of the monomer on the entire simulation area, TMI microwave imagers products provide the results of comparison between: the hydrometeor profile of choice MM5 model can provide a more realistic simulation cloud. The cloud hydrometeor profiling information input three-dimensional Monte-Carlo radiative transfer model, the simulated spaceborne radiometer can receive the uplink radiation. The analysis results show that: the high frequency of 85.5GHz channels, the ice particles in the cloud, especially in the upper clouds of ice crystals and snowflakes makes uplink radiation significantly reduced the brightness temperature, brightness temperature with ice and snow of the total due to the strong scattering negative linear correlation between the content of. Graupel particles is also very significant cooling effect on the brightness temperature of the scattering, so that the linear correlation between the brightness temperature is weak due to the tilt of the observation angle of tilt and clouds. Weak correlation between the brightness temperature and surface precipitation, simulated clouds tilt, high-value area of ??ice particles and ground precipitation center there is a deviation in the position, the situation becomes even more complicated when the observation of the bevel . 37.0GHz and 19.35GHz channel on the rain cloud radiation warming the role of performance is very strong, but at the same time ice particles scatter very significant role; 37.0GHz band linear correlation between the brightness temperature and surface precipitation not The the 19.35GHz band on brightness temperature between the surface precipitation is more complex. 19.35GHz channel the top vertical observation of the day, large graupel particles scattering of brightness temperature cooling Obviously, both presented significant negative linear correlation; very small change in surface emissivity, brightness temperature by this time indirectly indicate rain clouds in the upper levels.