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Research Project Summaries
NSF Ensemble DA for Nonlinear and Nondifferentiable Problems
Among most challenging problems in Ensemble Data Assimilation applications in geosciences is the problem of highly nonlinear and nondifferentiable processes and observations... More Details
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NSF Ensemble DA System Based on Control Theory
A development of fundamentally new EnsDA methodology is proposed, based on innovative use and development of optimization algorithms and Hessian preconditioning applicable to highly nonlinear problems... More Details
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NASA Assimilation and downscaling of the GPM-like satellite precipitation
Under this project we develop an ensemble-based data assimilation system for assimilation and downscaling of precipitation information from Global Precipitation Mission (GPM) observations... More Details
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NOAA Utility of GOES-R GLM using HVEDAS in Regional Applications
In this research we focus on evaluating the impact of the GOES_R Global Lightning Mapper proxy observations in regional hybrid ensemble-variational data assimilation applications to severe weather ... More Details
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JCSDA Utility of GOES-R Instruments for Hurricane Data Assimilation and Forecasting
The combined impact of GOES-R Advanced Baseline Imager (ABI) and Geostationary Lightning Mapper (GLM) these observations, and of the advanced infrared (IR) sounder planned for the follow-up GOES missions, is investigated in application to hurricane assimilation and prediction ... More Details
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NOAA Ensemble Data Assimilation Research for Hurricane Forecasting
We investigate the value of all-sky microwave radiance assimilation in inner-core hurricane analysis and prediction using NOAA HWRF model and operational observations ... More Details
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Ensemble Data Assimilation Research for Wind Forecasting
Main goal of this research is to investigate feasibility of using ensemble data assimilation in wind forecasting, for possible future use in renewable energy applications ... More Details
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NASA Further development and improvements of WRF-EDAS
In this research we will further develop the NASA WRF-EDAS data assimilation system and increase its robustness and efficiency, in particular by addressing the insufficient number of degrees of freedom in ensemble error covariances and the precipitation-affected radiance bias correction ... More Details
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NASA Advancing Coupled Land-Atmsophere Modeling
This project seeks to build on the successful development and application of the NASA Unified Weather Research and Forecasting (NU-WRF) Model, with the goal of integrating and enhancing existing land and atmospheric data assimilation capabilities to advance regional-scale coupled land-atmosphere modeling ... More Details
