26-114 Boundary-Layer Physics Parameterization Developer

Colorado State University•Boulder, CO

12d•Hybrid

About The Position

The Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University (CSU) is seeking a full-time Postdoctoral Associate to conduct collaborative research and development with the National Oceanic and Atmospheric Administration (NOAA) at the Global Systems Laboratory (GSL) in Boulder, CO. This position is within the NOAA/OAR/GSL Earth Prediction Advancement Division (EPAD) Physics Branch. CIRA is a research organization focused on interdisciplinary atmospheric sciences, leveraging advances in engineering and computer science, and applying research to societal benefit. NOAA's GSL is a federal laboratory providing environmental observation, prediction, computer, visualization, and information systems to the National Weather Service and the nation, focusing on enhancing environmental understanding to support commerce, protect life and property, and promote a scientifically literate public.

Requirements

A Ph.D. in Atmospheric Science or related field completed before the start of the appointment.
At least two years of experience with numerical weather and/or climate prediction.
At least two years of experience in Fortran and/or C++, Python, high-performance computing, and Linux computing environments.
Experience using and/or developing PBL parameterizations in appropriate numerical weather prediction models with a specific focus on understanding and/or improving PBL parameterizations.
Experience communicating scientific results, such as through conference presentations, seminars, technical reports, and/or publications.
US citizenship or lawful permanent residency with a physical USCIS “Green Card” is required due to federal background check requirements.

Nice To Haves

Experience using relevant observations and/or outputs from numerical weather prediction model simulations to inform PBL parameterization evaluation and/or development.
Knowledge of synoptic and mesoscale weather and the ability to link PBL processes to weather scenarios.
Knowledge of existing approaches for parameterizing three-dimensional turbulence for and/or representing urbanization in very-high-resolution numerical weather prediction models.
Knowledge of appropriate research methods or approaches to investigate improvements in PBL-related predictions, coupling of PBL parameterizations to other model components (e.g., the surface-layer, land-surface, cumulus, and microphysics parameterizations), and verification of boundary-layer fields.
Knowledge of a variety of PBL processes, parameterization approaches, methods of processing PBL data, and related software tools.

Responsibilities

Conduct hypothesis-driven, meteorologically informed research to improve the physical fidelity, accuracy, and/or efficiency of planetary boundary layer (PBL) parameterizations in numerical weather prediction models, particularly as it relates to storm-scale to sub-kilometer models.
Collaborate with the lead PBL parameterization developer and other parameterization developers within the branch to inform future development activities.
Prepare and/or contribute to the preparation of briefing materials and presentations for branch management, internal meetings, conferences, and workshops, and regularly publish scientific content.