Physical Scientist - HAFS Developer

About the role

Lynker is seeking a Physical Scientist - HAFS Developer to support a long term NOAA contract, carrying out research and development work related to future operational hurricane forecast systems.

Responsibilities

• Implement and advance hurricane-specific physics schemes within the UFS framework.
• Develop and advance inner-core storm initialization and data assimilation techniques for hurricane forecasting.
• Develop and improve UFS-based dynamics and moving-nesting for high-resolution hurricane modeling.
• Develop and advance UFS-based earth system (atmosphere, land, ocean, wave, storm surge, etc.) coupled modeling system for hurricane forecasting.
• Develop advanced scripts for flexible end-to-end system integration and automation, and allow for additional functionalities.
• Design, setup, and conduct pre-implementation tests for experimental and operational hurricane model upgrades.
• Explore, develop, test and evaluate the HAFS based ensemble forecast system.

Requirements

• A Master’s Degree or higher in atmospheric sciences or meteorology, oceanic, mathematics, or related physical science
• 2+ years of experience in the area of hurricane and tropical cyclone (TC) modeling
• Advanced knowledge of tropical meteorology and experience in developing hurricane numerical weather prediction (NWP) systems for operational implementation
• Excellent knowledge and skills of modern programming languages and object-oriented languages, such as FORTRAN90 and Python
• Skills and knowledge of the High Performing Computing environment
• Proficient with modern software development practices and version control software
• Demonstrated skill in communicating effectively with scientists of diverse backgrounds on technical details of the work plan and present results accurately and clearly in both oral and written form
• Ability to work independently on complex problems in a team and fast-paced environment and demonstrated skill in performing tasks requiring organization and attention to detail
• Ability to support team initiatives, demonstrate respect for team members, and seek team consensus

Qualifications

• Experience with Artificial Intelligence (AI) weather modeling, specifically for hurricane prediction, is a BIG PLUS
• Familiarity with operational NWP and/or an operational forecasting environment
• Experience with UFS applications and knowledge of earth system modeling
• Experience in high-resolution model development in various infrastructures (ESMF, FMS, CCPP, JEDI, etc.)
• Familiarity with advanced TC data assimilation systems/algorithms
• Experience/knowledge of hurricane model evaluation and verification
• Familiarity with agile software development practices