Numerical Weather Prediction Scientist - 132543

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.

CW3E aspires to promote the principles of equity, diversity, and inclusion in every aspect of our work. The Center understands the intrinsic value of a diverse workforce and continually seeks to expand the representation of people from diverse backgrounds and identities in geosciences. CW3E aims to foster an environment where all of our members feel valued, supported, and included. The Center strives to partner with and include the perspectives of historically underrepresented communities in our research, education, and outreach. More information can be found on our dedicated EDI website at https://cw3e.ucsd.edu/edi/.

• Bachelor's degree in Atmospheric Science or related fields. Masters degree or Ph.D. in Atmospheric Science or related fields is preferred.

• Thorough knowledge of research function. Ability to work with large datasets with different formats and components, including NetCDF, GRIB, and binary.

• Thorough skills associated with statistical analysis and systems programming. Proven expertise in programming to include Python, Fortran, Perl, NCL, and shell scripting, amongst other programming languages. Must be proficient in Linux environments on HPC systems.

• Experience and proficiency in independently setting up, running, and analyzing output from numerical weather prediction models, such as WRF, MPAS, or similar.

• Experience running numerical weather prediction models on high-performance computing (HPC) platforms.

• Experience with workflow management systems for numerical weather prediction and associated computing tasks.

• Thorough skills in analysis and consultation. Strong time management skills. Ability to prioritize tasks appropriately and meet deadlines.

• Skills to communicate complex information in a clear and concise manner both verbally and in writing. Skills in scientific visualization, scientific writing, and experience presenting at scientific conferences (poster and oral presentations).

• Skills in project management. Strong time management skills. Can prioritize tasks. Meets deadlines.

• Research skills at a level to evaluate alternate solutions and develop recommendations. This includes proposing new analyses, new conceptual ideas, or new workflow recommendations.

• Excellent interpersonal skills including thoughtfulness, diplomacy and flexibility with the ability to work independently or within a team framework in conjunction with principles of community with staff, faculty, researchers, and students.

• Ability to independently configure and run operational numerical weather prediction models for operational or retrospective research applications.

• Must pass a background check. Desired that the candidate can pass a National Agency Check with Inquiries (NACI)

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