CIRA » Home » Research » Theme » Clouds and Microphysics
Clouds and microphysics represent, probably, the most challenging issue for data assimilation and prediction. Correct assimilation and prediction of the related observations and variables requires development of new methodologies that can efficiently deal with nonlinearity and non-differentiable minimization. In practical applications one also needs to consider the high-performance computing issues, with consequences to weather and climate.
This research topic is inherently connected with all other research topics.
This theme is addressed in the following projects:
- NSF Ensemble DA for Nonlinear and Nondifferentiable Problems
- NASA Assimilation and downscaling of the GPM-like satellite precipitation
- NOAA Utility of GOES-R GLM using HVEDAS in Regional Applications
- JCSDA Utility of GOES-R Instruments for Hurricane Data Assimilation and Forecasting
- NOAA Ensemble Data Assimilation Research for Hurricane Forecasting
- NASA Further development and improvements of WRF-EDAS
- NASA Advancing Coupled Land-Atmsophere Modeling
