[ACG46-P11] Passive microwave rainfall retrievals for tropical cyclones with understanding of microphysical characteristics from cloud resolving models
Keywords:microwave satellite remote sensing, tropical cyclone rainfall measurements, microphysical characteristics of tropical cyclone, microphysics schemes of cloud resolving models
In this study we firstly assessed five microphysical parameterization methods including Thompson, Morrison, WDM6, NSSL-2mom and Thompson aerosol-aware schemes in the Weather Research Forecasting (WRF) model by analyzing the emission and scattering characteristics of each scheme from the perspective of microwave observations for several tropical cyclone cases. Then, the best performed microphysics scheme among them is selected and used to retrieve rain rates. This process may reduce the uncertainties due to the incorrect assumptions on microphysical properties of precipitating clouds. Moreover, as pointed by Kim et al (2016) proper descriptions of the scattering signals along viewing directions can also affect the retrieval quality. We construct more realistic a-priori databases with the 3-D radiative transfer treatment and the best performed microphysics schemes for the GPM microwave imager (GMI). The enhanced prior knowledge is tested to measure the precipitation fields for several tropical cyclone cases.