Physical Scientist for High-Resolution Regional Modeling for Atmospheric Rivers

American Meteorological Society; College Park (MD); Híbrido; USD 90 000 - 140 000; Tempo integral

Resumo da oferta

Lynker Technologies seeks a Physical Scientist to advance high-resolution regional modeling for atmospheric rivers within the UFS framework. The role involves parameterization work, model development, and collaboration with the community to enhance weather and climate predictions.

The position supports a hybrid schedule with two days per week in College Park, MD, and three days from home, contributing to ongoing EMC/NCEP collaboration.

Qualificações

• The candidate must hold a Master's degree or higher in atmospheric sciences, meteorology, geophysics, applied mathematics, or a related physical science field.
• Advanced knowledge of physics parameterization for earth system modeling applications is required.
• Experience with modern programming languages and software development practices (e.g., GitHub/Git).

Responsabilidades

• Maintain and improve PBL parameterizations for various UFS applications.
• Improve physical parameterizations and earth system model components in the UFS.
• Collaborate with community developers to advance physics for weather and climate modeling.

Conhecimentos

Python

Fortran

UNIX

Shell scripting

NetCDF

GRIB2

Team collaboration

Formação académica

Master's degree in atmospheric sciences or related physical science

Ferramentas

Git

Descrição da oferta de emprego

Lynker Technologies

Physical Scientist for High-Resolution Regional Modeling for Atmospheric Rivers

US-MD-College Park

Job ID: 2026-1705

Type: Full-Time

# of Openings: 1

College Park, MD

Overview

Lynker is seeking a sharp Physical Scientist for High-Resolution Regional Modeling for Atmospheric Rivers to support the Environmental Modeling Center (EMC) of the National Centers for Environmental Prediction (NCEP) in developing high-resolution regional modeling applications within the Unified Forecast System (UFS) for prediction of atmospheric rivers and their impacts on the U.S. West Coast. The candidate is expected to conduct scientific experiments with various atmospheric physical parameterization including the planetary boundary layer (PBL), cloud microphysics and air-sea interactions, and evaluate the results using standard verification tools (e.g., MetPlus) and in-situ observations (e.g., Atmospheric River Reconnaissance Data). UFS is a fully coupled earth system model including atmosphere, land, ocean, ice, wave, and aerosol components. UFS is configured for different operational and research applications which cover a variety of temporal and spatial scales. The Ideal Physical Scientist for High-Resolution Regional Modeling for Atmospheric Rivers will be able to work a hybrid schedule, working 2 days per week from the NOAA Center for Weather and Climate Prediction (NCWCP) office in College Park, MD, and the remaining 3 days per week from home.

Responsibilities

Duties of the Physical Scientist for High-Resolution Regional Modeling for Atmospheric Rivers will include the following:

The Physical Scientist selected will perform job duties both in an independent and collaborative environment, applying innovative methods for the primary work areas seen below:

• Maintain and improve the accuracy and efficiency of PBL parameterizations for various UFS applications.
• Improve the physical parameterizations and earth system model components in the UFS.
• Collaborate with community developers to advance physics for weather and climate modeling across scales.

Qualifications

The Physical Scientist for High-Resolution Regional Modeling for Atmospheric Rivers selected should have the following:

• A Master's degree or higher in atmospheric sciences, meteorology, geophysics, applied mathematics, or a related physical science field.
• Advanced knowledge of physics parameterization for earth system modeling applications.
• Advanced skills and knowledge of modern programming languages and object-oriented languages, such as Fortran and Python;
• Proficient with modern software development practices, such as the GitHub/Git version control software and environment;
• Experience working in a UNIX environment and familiarity with shell scripting languages and running complex jobs.
• Demonstrated ability to work efficiently in a team environment and communicate effectively in both oral and written forms.
• Familiar with various scientific data formats like NctCDF and GRIB2 and has experience analyzing large scientific datasets.

The Ideal Physical Scientist for High-Resolution Regional Modeling for Atmospheric Rivers will have the following:

• Experience with developing and/or applying Atmospheric Single Column Models (SCM).
• Experience with operational NWP and/or an operational forecasting environment.
• Experience in testing and evaluating SCM and 3D models using both conventional and satellite observations.

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

• Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

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