Enhancing Physics Parameterization Schemes in Weather Research and Forecasting (WRF) Model Using Polarimetric Radar Measurement
Abstract
Drop size distribution (DSD) of rainwater is a critical function in a microphysics parameterization scheme used in numerical weather prediction (NWP) models to represent cloud microphysical processes. Verification of DSDs against observations has recently become possible due to the availability of advanced techniques to retrieve DSD information from radar measurements of precipitating clouds. In this study, polarimetric radar observations are used to verify and optimize a two-moment bulk microphysical parameterization scheme in the simulation of Hurricane Harvey (23-29, August 2017) using the Weather Research and Forecasting model (WRF). The results from the study show that there is significant uncertainty in the parameters of the DSD used in the two-moment microphysics scheme. The study also illustrates a pathway to improving the DSD of the two-moment microphysics scheme using polarimetric radar observations to enhance the accuracy of the scheme's representation of cloud evolution and precipitation production.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2021
- Bibcode:
- 2021AGUFM.A25B1662Z