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 Data Assimilation Scientific Programmer at the NOAA Global Systems Laboratory (GSL) located in Boulder Colorado.
The Data Assimilation Branch (DAB) within GSL’s Assimilation, Scientific Computing, and Evaluation Novel Division (ASCEND) develops operational model capabilities for multiple applications, including aviation, severe weather, renewable energy, and general forecasting. The Real-Time Mesoscale Analysis (RTMA) is a high-spatial and temporal resolution assimilation system that supports the National Weather Service and interested parties with analyses for nowcasting and situational awareness, and serves as an Analysis of Record for forecast verification, calibration/bias-correction, and accelerated Unified Forecast System (UFS) development. RTMA development will use the Joint Effort for Data Assimilation Integration (JEDI) software. GSL collaboratively develops the RTMA with scientists and engineers at the Environmental Modeling Center (EMC). RTMA development is closely related to and overlaps with the development of the Rapid Refresh Forecast System (RRFS) which aims to more faithfully represent atmospheric convection, clouds, fire weather conditions, and other weather hazards.
The Scientific Programmer will use and advance the JEDI software for RTMA and RRFS applications. In particular, work toward continuous assimilation approaches, analysis uncertainty estimation, and analysis of complex physical diagnostics will be prioritized. The development will take place in both NOAA High-Performance Computing environments and cloud computing environments. The candidate will have the opportunity to contribute to experimental and future operational RTMA prototypes including real-time experiments and the evaluation of RTMA by developers and interested parties. The candidate will work collaboratively with the GSL and EMC development teams, as well as the larger RRFS and UFS modeling community.
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