Lead Numerical Weather Prediction Analyst (Remote/Hybrid)

csusystem; United States; Hybrid; USD 70,000 - 100,000; Full time

Job summary

The Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University seeks a full-time research associate to lead design and evaluation of output from real-time and retrospective numerical weather and Earth system prediction experiments. The work focuses on MPAS-based models, regional and global forecast systems, and collaboration with GSL and EPAD teams in Boulder, CO.

Ideal candidates collaborate with model developers, interpret results, and translate findings into

Qualifications

• NOTE: In the body of your resume, please specifically address all required qualifications when describing your work experience. A resume that fails to specifically address the qualification

Responsibilities

• In collaboration with model developers, designs, conducts, and evaluates hypothesis-driven experiments to quantify forecast errors in regional and global, deterministic and ensemble, physics-based and data-driven weather forecast systems and/or test and evaluate improvements proposed to reduce those errors.
• Contributes to leading the planning, maintenance, and execution of real-time and retrospective regional and global deterministic and ensemble forecast systems.
• Provides scientific feedback to inform current and future development activities.
• Serves as a subject-matter expert on routine and field-campaign observations from in situ and remotely sensed platforms to inform model development and verification.
• Contributes to formulating, executing, and tracking priorities for physics and model development for regional and global deterministic and ensemble forecast systems.
• Prepares briefing materials and presentations for branch management, internal meetings, conferences, and workshops, and regularly publishes scientific content.

Job description

The Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University seeks a full-time research associate to lead design and evaluation of output from real-time and retrospective numerical weather and Earth system prediction experiments. The work focuses on MPAS-based models, regional and global forecast systems, and collaboration with GSL and EPAD teams in Boulder, CO.

Ideal candidates collaborate with model developers, interpret results, and translate findings into