CIRA » Home » Research » Theme » Satellite Observations
Satellite observations are quickly becoming the main source of information for climate and weather systems. They include atmospheric, land, ocean, aerosol, and carbon measurements, in support of modeling and studying related processes. This research is concerned with assimilation of all types of satellite observations, including retrievals and direct radiances. One of major challenges of satellite radiance data assimilation is the use of all-sky radiances and the related treatment of nonlinear and non-smooth forward operators. In particular we are interested in maximizing the impact of these observations, as well as quantifying that impact using Shannon information theory.
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
