Physical Scientist – EVU Regional Verification
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Job Description
Physical Scientist advancing regional weather-model verification for NOAA through Lynker. Developing METplus workflows, QPF metrics, and AI/ML forecast evaluation methods.
Responsibilities:
- Investigate and apply object-oriented verification methods such as METplus MODE to evaluate high-resolution model performance
- Improve spatial skill assessment
- Work with developers on RRFS, REFS, and WoFS to create customized, automated verification workflows for model development
- Act as a technical liaison between WPC and EVU/OMD on NBM and NDFD verification topics, focusing on QPF
- Develop advanced metrics and methods for high-resolution AI/ML model verification and evaluation, including HRRRCast
- Support and contribute verification metrics, code enhancements, and graphics capabilities to the community-based METplus framework
- Support the Model Evaluation Group (MEG)
- Interact with NWS/NCEP domain scientists
- Adhere to NOAA/NWS IT policies
- Present findings regularly at technical and status meetings
Requirements:
- An M.S. (or equivalent experience) in atmospheric sciences, meteorology, scientific programming, mathematics, or a related physical science with 7+ years of experience in numerical model analysis, evaluation, or verification
- Demonstrated experience using object-oriented verification techniques such as METplus MODE
- Experience evaluating high-resolution numerical weather prediction (NWP) models
- Extensive experience with Python in a high-performance computing (HPC) UNIX environment
- Experience calculating verification metrics and generating custom visual plots
- Proficiency using GitHub to manage software repositories, code versions, and collaborative projects
- Experience with meteorological data formats including GRIB2, NetCDF, HDF, and BUFR
- Experience with model verification software systems, specifically METplus
- Ability to communicate technical results effectively across interagency teams, developers, and operational forecasters
- Knowledge of web page technology and languages such as HTML and JavaScript
- Ability to analyze, plot, and verify model output independently
- Ability to work independently and collaboratively on complex problems
- Experience developing customized verification workflows or evaluation tools for convective-scale/rapid-refresh models and ensembles is ideal
- Familiarity with evaluating AI/ML weather models or developing metrics for machine learning forecast systems is ideal
- Experience in QPF verification and operational datasets/systems such as NBM or NDFD is ideal
- Knowledge of Fortran, HTML, JavaScript, GrADS, GEMPAK, or MATLAB is ideal
- Familiarity with National Weather Service operational centers, OMD workflows, or operational forecasting environments is ideal
- Knowledge of statistical principles and strong analytical skills
- Ability to accept assigned tasking and engage as a creative self-starter
- Ability to remain flexible as projects and tasks evolve
Benefits:
- Comprehensive healthcare for the employee at no monthly cost
- Healthcare benefit covers medical, prescription drug, dental, and vision
- Personal Time Off (PTO) Policy plus paid holidays
- Highly competitive compensation plan regularly calibrated against industry and location benchmarks
- 401(k) retirement plan with company-matching
- Employee Stock Ownership Plan (ESOP)
- Flexible spending accounts
- Employee assistance program (EAP)
- Short- and long-term disability insurance
- Life and accident insurance
- Tuition assistance/Training/Workforce improvement reimbursement per year
- Spot bonuses for exceptional performance
- Annual Employee Recognition Awards with bonuses
- Employee Referral Program
- Free centralized, self-directed Learning Management System
- Personalized career growth plans for every employee
- Employee-owned business
- Flexible work arrangement indicated as remote
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