NOA1916 Support Scientist-Land-Atmospheric Physics
I.M. Systems Group, Inc. (IMSG) is seeking a candidate to support the Environmental Modeling Center (EMC) of the National Centers for Environmental Prediction (NCEP) in carrying out research and development work related to model physical parameterizations. The candidate’s work will involve the development, testing, and evaluation of parameterizations of the land surface, atmospheric surface layer, and atmospheric boundary layer as well as the interactions between these parameterizations themselves and with other model components. These developments will be applied in FV3-based configurations of EMC’s Global Forecast System (GFS).
The candidate will perform the job duties in a high-quality, independent, and collaborative way, working with scientists and external collaborators to introduce new innovations and evaluate the results using objective verification metrics and model diagnostics. The candidate will work within the Unified Forecast System Common Community Physics Package (CCPP) framework and the advanced NOAA Environmental Modeling System (NEMS) infrastructure and multi-scale modeling framework, focusing on three specific model components:
- Land-surface models
- Atmospheric surface-layer models
- Planetary boundary-layer models
The candidate should have a Ph.D. in atmospheric sciences or meteorology, oceanic, mathematics, or a related physical science with at least seven (7) years of experience working with model physical parameterizations.
Demonstrated knowledge, skills, and abilities in at least five of the following areas:
- Advanced knowledge of atmospheric turbulence theory, land-surface physics, and land-atmosphere interactions
- Knowledge of the physical and mathematical basis of geophysical modeling (atmospheric and/or oceanic) and experience running advanced numerical weather prediction (NWP) models.
- Experience in high-resolution model development in various infrastructures like NEMS and ESMF.
- Experience working in a UNIX environment with advanced scripting languages (e.g., Perl, ksh, Python, Ruby, etc.).
- Extensive practical application of computing languages such as FORTRAN and C, working with geophysical data formats (NetCDF, GRIB etc.), and graphical display programs such as GRADS, GEMPAK, MATLAB, IDL, etc.
- Experience in model testing and evaluation and/or knowledge of objective verification principles.
- Demonstrated skill in 1) communicating and collaborating effectively with scientists having diverse backgrounds and 2) presenting research and/or development results accurately and clearly in both oral and written form.
- Ability to work both independently and in a team environment to solve complex problems.
- Demonstrated skill in performing tasks requiring organization and attention to detail.
Candidates must be a U.S. Citizen or Green Card Holder to qualify (please indicate in your cover letter).
- Experience developing and testing numerical environmental prediction codes in a high-performance computing environment
- Familiarity with operational NWP and/or an operational forecasting environment.