Atmospheric Modeling Scientist – PBL & UFS Expert

Axiom Consultants; College Park (MD); Vor Ort; USD 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Medical insurance

Dental insurance

Life insurance

401(k) matching

Zusammenfassung

Axiom Consultants seeks a Physical Scientist to support the EMC of NCEP in developing high-resolution regional modeling within the Unified Forecast System (UFS). The role focuses on atmospheric physics parameterization, including PBL and cloud microphysics, with evaluation against observations and standard tools.

The position is based at the NOAA NCWCP in College Park, MD, requiring collaboration across divisions and with the broader community of weather and climate model developers.

Qualifikationen

• Master's degree or higher in atmospheric sciences, meteorology, geophysics, applied mathematics, or a related physical science field.
• Strong knowledge of physics parameterization for earth system modeling.
• Proficiency in modern programming languages (Fortran and Python) and software development practices.

Aufgaben

• Maintain and improve the accuracy and efficiency of PBL parameterizations in UFS applications.
• Improve physical parameterizations and earth system model components in UFS.
• Collaborate with community developers to advance physics for weather and climate modeling across scales.

Kenntnisse

Atmospheric physics

Fortran

Python

Unix/Linux

Git and version control

Data handling (NetCDF/GRIB2)

Team collaboration

Scientific communication

Ausbildung

Master's degree or higher in atmospheric sciences or related physical science

Tools

Git

Unix shell

NetCDF/GRIB2 tooling

Jobbeschreibung

Axiom Consultants seeks a Physical Scientist to support the EMC of NCEP in developing high-resolution regional modeling within the Unified Forecast System (UFS). The role focuses on atmospheric physics parameterization, including PBL and cloud microphysics, with evaluation against observations and standard tools.

The position is based at the NOAA NCWCP in College Park, MD, requiring collaboration across divisions and with the broader community of weather and climate model developers.