Numerical Weather Prediction Scientist - 132543
University of California System - Not Specified, CA
posted 16 days ago
About the position
The Numerical Weather Prediction Scientist is responsible for supporting the computational workflows and timely completion of near-real time operational mesoscale weather prediction models. Processes large data sets including model input and output files, handles model pre-processing and post-processing, and the production of decision support tools in workflow software. Calculates model verification statistics to assess the prediction skill of the CW3E weather forecast system. Contributes to a variety of modeling projects, including CW3E near-real time forecasting system, high-resolution reanalysis, dynamical ensembles, high-resolution simulations of landfalling atmospheric rivers, and sensitivity studies involving model physics and dynamics. Supports the analysis and dissemination of experimental results via conference presentations, manuscripts, technical reports, and other publications. Contributes to and leads research assignments that are of moderate diversity in scope. Exercises judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions.
Responsibilities
- Support computational workflows for mesoscale weather prediction models.
- Process large datasets including model input and output files.
- Handle model pre-processing and post-processing.
- Produce decision support tools in workflow software.
- Calculate model verification statistics for CW3E weather forecast system.
- Contribute to modeling projects including near-real time forecasting and high-resolution simulations.
- Analyze and disseminate experimental results through various publications.
- Lead research assignments of moderate diversity in scope.
Requirements
- Bachelor's degree in Atmospheric Science or related fields; Master's degree or Ph.D. preferred.
- Thorough knowledge of research functions and ability to work with large datasets.
- Proficiency in programming languages including Python, Fortran, Perl, NCL, and shell scripting.
- Experience with numerical weather prediction models such as WRF or MPAS.
- Experience running models on high-performance computing platforms.
- Strong time management skills and ability to prioritize tasks.
- Excellent communication skills for conveying complex information.
- Strong interpersonal skills and ability to work independently or in a team.
Benefits
- Hybrid work environment
- Contract position with potential for extension or conversion to career status
