CIRES/ESRL Mesoscale Data Assimilation Scientist
4 days left
- Sector Type
The Cooperative Institute for Research in Environmental Sciences (CIRES) in Boulder, Colorado and the NOAA Earth System Research Laboratory (ESRL) have an immediate opening for a research associate with experience in mesoscale data assimilation and/or numerical weather prediction. The scientist will have an appointment within Assimilation and Modeling Branch of the ESRL Global Systems Division.
Excellent coding and scripting skills.
Run HRRRR and HRRR Ensemble.
The scientist will develop and test modifications in data assimilation and related mesoscale models. The scientist work closely under direction of the ADB branch chief. The scientist will also work in collaboration with other scientists in ESRL/GSD/ADB and other groups within ESRL, NCAR, NCEP and other collaborators through NOAA. This work will include development for the HRRR and Rapid Refresh (RAP) assimilation systems using the GSI (Gridpoint Statistical Interpolation) assimilation and the WRF (Weather Research and Forecast) model. It will also involve work with NOAA’s Next Generation Global Prediction System (NGGPS) and the FV3 model in applications toward short-range forecast and nowcasting applications. The scientist will work as part of a team in testing and refining algorithms for real-time operational application. The position is located in Boulder, Colorado.
- Ph.D. or M.S. in the atmospheric sciences or a closely related discipline.
- Experience in developing and testing data assimilation techniques and codes
- Outstanding coding and scripting skills with NWP models..
- Strong desire to improve operational NWP capabilities.
- Strong desire to support research community to apply operational data assimilation systems
- Strong ability to work effectively in a team environment.
- Experience with numerical weather prediction models.
- Experience with ensemble-based data assimilation systems and their application
- Experience with SRF mesoscale model (use and development)
- Fluent knowledge of Fortran and Fortran 90 including debugging and optimizing code
- Proficiency in UNIX-base scripting languages
- Expertise with Linux and UNIX operating Systems
- Knowledge of synoptic meteorology and forecasting experience
- Experience maintaining robust community code in a real-time environment
- Experience with the verification of high-resolution meteorological forecasts