Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of
China Meteorological Administration, Nanjing University of Information
Science and Technology, Nanjing 210044, China
Zhengjian Lin
School of Atmospheric Physics, Nanjing University of Information
Science and Technology, Nanjing 210044, China
Haiyang Gao
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of
China Meteorological Administration, Nanjing University of Information
Science and Technology, Nanjing 210044, China
Shujun Liao
School of Atmospheric Physics, Nanjing University of Information
Science and Technology, Nanjing 210044, China
Piman Ding
The First Research Department, Shanghai Institute of Satellite Engineering, Shanghai 201109, China
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Total article views: 2,434 (including HTML, PDF, and XML)
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Forward modeling of spaceborne millimeter-wave radar composed of eight submodules is presented. We quantify the uncertainties in radar reflectivity that may be caused by the physical model parameters via a sensitivity analysis. The simulations with improved and conventional settings are compared with CloudSat data, and the simulation results are evaluated and analyzed. The results are instructive to the optimization of forward modeling and microphysical parameter retrieval.
Forward modeling of spaceborne millimeter-wave radar composed of eight submodules is presented....