Aonashi K., T. Tashima, T. Kubota, and K. Okamoto, 2021: Introduction of a mixed lognormal probability distribution function and a new displacement correction method for precipitation to the ensemble-based variational assimilation of the all-sky microwave imager brightness temperatures. J. Meteor. Soc. Japan, 99, 1201-1230.
Special Edition on Global Precipitation Measurement (GPM): 5th Anniversary,
Graphical Abstract Published
Plain Language Summary:
The brightness temperatures (TBs) obtained from the satellite microwave imager (MWI) provide global information about water substances. To achieve improved assimilation of all-sky MWI TBs into a cloud-resolving model (CRM), this study introduced a mixed lognormal distribution for the precipitation probability distribution function (PDF) model and a new displacement correction method using PDF pseudo-regimes for precipitation to an ensemble-based variational assimilation scheme.
- The mixed lognormal PDF strengthened the precipitation analysis of heavy-rain areas.
- The pseudo-regimes reduced the precipitation displacement error of the analysis.
- The assimilation of TBs improved the CRM forecasts for precipitation distribution up to 12 h and the typhoon position and central surface pressure for >24 h.