CIRES/NOAA Global Systems Laboratory, Satellite Data Assimilation Scientist

The Cooperative Institute for Research in Environmental Sciences (CIRES), a partnership of the University of Colorado Boulder and the National Oceanic and Atmospheric Administration, has a job opening for a Satellite Data Assimilation Scientist at the NOAA Global Systems Laboratory (GSL) located in Boulder Colorado.

The Data Assimilation Branch (DAB) within GSL’s Assimilation and Verification Innovation Division (AVID) develops and advances data assimilation capabilities for operational numerical weather prediction systems supporting a wide range of applications, including aviation, severe weather, renewable energy, and general weather forecasting. The Rapid Refresh Forecast System (RRFS) is NOAA’s convection-allowing data assimilation and forecast system designed to provide rapidly updated, high-resolution weather forecasts over North America. In collaboration with other partners, GSL is developing and improving RRFS using the Model for Prediction Across Scales (MPAS) and the Joint Effort for Data Assimilation Integration (JEDI) framework. To support NOAA's Geostationary Extended Observations (GeoXO) program, NOAA/GSL has been evaluating the data impact of hyperspectral infrared radiance data from polar-orbiting satellites and is also expanding to evaluate the data impact from geostationary hyperspectral infrared sounder data (i.e., the recently available Meteosat Third Generation Infrared Sounder (MTG-IRS) data).

CIRES/NOAA GSL seeks a Satellite Data Assimilation Scientist to join the Data Assimilation Branch and contribute to the continued development and improvement of RRFS. The scientist will develop, evaluate, and test modifications in data assimilation procedures for satellite and other observations in RRFS, with a particular focus on satellite radiance data (e.g., MTG-IRS data) and satellite retrieval products. The candidate will work collaboratively with scientists at GSL, external partners, and the broader RRFS and UFS modeling communities.