|
Improving skill of weather analysis and prediction on regional scales is one of the major challenges of the atmospheric sciences and its service to society. The skill of analysis and prediction crucially depends on results of data assimilation. A significant gap exists in current understanding of what data assimilation approach would maximize performance of regional weather analysis and prediction systems for a set of modern atmospheric observations. New research is needed that would focus on systematic evaluation of different data assimilation techniques that are being proposed in research and operational communities today. In the Global Systems Division (GSD) at the Earth Systems Laboratory we are uniquely situated to explore this problem. The new research would involve analysis of the performance of an operational weather data assimilation system utilizing the Weather Research & Forecasting (WRF) regional model. Specific enhancement of the current system would be explored by including alternative approaches to study and intercompare their properties. The new research would emphasize impact of satellite remote sensing observations with different approaches. A doctoral student candidate would be able to choose from a wide variety of topic areas: 3D and 4D variational systems, a priori and a posteriori probabilities as tools for assessment, impact and optimization of new observations (i.e., satellite multi-channel radiance data), and others.
|
NOAA ESRL Contacts
John McGinley
John.A.McGinley@noaa.gov CIRES Contact
Tomi Vukicevic
Tomislava.Vukicevic@Colorado.edu |
