27-102 Fire Weather and Atmospheric Composition Model Developer
Core
Develop and maintain numerical models for fire weather and atmospheric composition forecasting, integrating them into NOAA's operational Unified Forecast System (UFS) and MPAS frameworks.
Role type
Senior IC model developer (atmospheric chemistry/fire weather)
Builds
Regional and global aerosol and air quality models (WRF-Chem, HRRR-Smoke, RRFS-SD, cheMPAS-Fire) for real-time smoke and fire weather prediction.
Domain
Atmospheric sciences, computational modeling, high-performance computing
Deliverable
production ML models
Required skills
Fortran, C/C++, HPC Linux environments, GitHub, scientific software engineering, model coupling (ESMF/NUOPC), regression testing, software documentation
Preferred skills
AI tools for software optimization, modern scientific libraries (CATChem, MUSICA, CCPP), real-time system evaluation
Technologies
WRF-Chem, HRRR-Smoke, RRFS-SD, MPAS, UFS, ESMF, NUOPC, CATChem, MUSICA, CCPP, CECE, GitHub, Linux
Responsibilities
Maintain code repositories and workflows for fire weather models; evolve Fortran code to leverage modern libraries; couple fire behavior models with UFS/MPAS; enhance interoperability across host models; advance real-time evaluation systems; optimize workflows using AI tools; maintain documentation.
Seniority
Senior, hands-on IC