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Wrf Model Jobs (NOW HIRING)

Engineering Supervisor

Marietta, GA · On-site

$92K - $152K/yr

Provides technical support during design: conducts and/or reviews modeling, planning, and ... Assists water reclamation facility (WRF) staff with solving process issues: perform analyses of ...

... WRF. * Travel as needed to support client meetings, business development, and project delivery ... Experience with advanced treatment process modeling and simulation. * Expertise in treatment ...

Strong knowledge of weather models - both NWP (GFS, ECMWF, HRRR, WRF) and modern AI forecasters (GraphCast, Pangu-Weather, FourCastNet, AIFS) - and the major observational data sources (satellite ...

Expertise in development, calibration, and validation of event and continuous hydrologic models such as HEC-HMS, WRF-Hydro, SWAT, VIC, PRMS, HSPF, etc. with 5+ years of HEC-HMS model development ...

Expertise in development, calibration, and validation of event and continuous hydrologic models such as HEC-HMS, WRF-Hydro, SWAT, VIC, PRMS, HSPF, etc. with 5+ years of HEC-HMS model development ...

Expertise in development, calibration, and validation of event and continuous hydrologic models such as HEC-HMS, WRF-Hydro, SWAT, VIC, PRMS, HSPF, etc. with 5+ years of HEC-HMS model development ...

AI Weather Scientist

San Francisco, CA · On-site

$150K - $250K/yr

Hands-on experience with high-resolution regional earth-system models such as WRF or MPAS, including dynamical cores, physics parameterizations, boundary-layer and convection schemes, or coupled ...

Hydrologist

Denver, CO · On-site

$83K - $119K/yr

Expertise in development, calibration, and validation of event and continuous hydrologic models such as HEC-HMS, WRF-Hydro, SWAT, VIC, PRMS, HSPF, etc. with 5+ years of HEC-HMS model development ...

Expertise in development, calibration, and validation of event and continuous hydrologic models such as HEC-HMS, WRF-Hydro, SWAT, VIC, PRMS, HSPF, etc. with 5+ years of HEC-HMS model development ...

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Wrf Model information

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$10

$31

$67

How much do wrf model jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for wrf model in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a WRF Modeler, and why are they important?

To thrive as a WRF Modeler, you need a solid background in atmospheric science or meteorology, experience with numerical weather prediction, and typically a relevant degree (such as in meteorology, atmospheric science, or environmental engineering). Proficiency in running and configuring the Weather Research and Forecasting (WRF) Model, as well as familiarity with Linux/Unix environments, scripting languages (like Python or Bash), and data visualization tools are important. Strong analytical thinking, problem-solving abilities, and effective communication skills set exceptional modelers apart. These competencies are essential for accurately simulating weather phenomena, troubleshooting model runs, and conveying complex results to stakeholders.

What are some common challenges faced when working as a WRF Model Analyst, and how can they be addressed?

A common challenge in the role of a WRF Model Analyst is ensuring the accuracy of model outputs, particularly when dealing with complex terrain or limited observational data. Analysts often need to fine-tune input parameters and boundary conditions to improve forecast reliability. Collaborating closely with meteorologists and data scientists is key to validating results and troubleshooting discrepancies. Staying updated with the latest model versions and computational techniques also helps overcome technical hurdles and enhances forecast performance.

What is the difference between Wrf Model vs Meteorologist?

AspectWrf ModelMeteorologist
CredentialsTypically requires a degree in atmospheric science, meteorology, or related fieldsRequires a degree in meteorology, atmospheric science, or related disciplines; often includes certifications
Work EnvironmentPrimarily involves computer modeling, data analysis, and simulationFieldwork, data interpretation, forecasting, and communication
Industry UsageUsed by weather agencies, research institutions, and climate modeling centersEmployed by TV stations, government agencies, private weather services

The Wrf Model is a numerical weather prediction tool used for weather simulation and forecasting, while a Meteorologist interprets weather data, provides forecasts, and communicates weather information to the public. Both roles are interconnected but focus on different aspects of weather prediction and communication.

What is the WRF model?

The WRF model, or Weather Research and Forecasting model, is a numerical weather prediction system designed for both atmospheric research and operational forecasting. It is widely used by meteorologists and researchers to simulate weather patterns, forecast weather, and study atmospheric processes. The WRF model is highly customizable, supports a range of applications from microscale to global-scale simulations, and is freely available for use by the scientific community.

Physical Scientist and Warn-on-Forecast System Developer

Lynker Corporation

College Park, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Overview

Lynker is seeking two talented physical scientists to support development and operational transition of NOAA's Warn-on-Forecast Systems (WoFS) under the Precipitation Prediction Grand Challenge (PPGC) program at the National Weather Service Office of Modeling and Development. The successful candidates will support the operational transition of the cloud-based WoFS version 1 which is built on the Weather Research and Forecasting (WRF) model and the Gridpoint Statistical Interpolation (GSI) data assimilation system, ensuring  the system meets operational implementation requirements, expanding the system to provide domains beyond the CONUS region, while improving forecast of extreme precipitation events and other high impact weather such as  tornadoes. The candidates will also collaborate with the National Severe Storm Laboratory (NSSL) and other partners on the development of next generation of WoFS (i.e., version 2) based on the Model for Prediction Across Scales (MPAS) and the Joint Effort for Data Assimilation Integration (JEDI) system.

Responsibilities

Successful candidates for this position will support the operational transition of WoFSv1 and the development of WoFS v2 within a cloud environment, focusing on model development, system integration, testing and optimization, and transition of WoFS v1 capabilities into NWS operations.

Duties of the Physical Scientist and Warn-on-Forecast System Developer will include the following:

  • Harden the cloud-based WoFSv1 system to meet the NWS NCO operational implementation requirements and support its operational transition.
  • Conduct rigorous model performance evaluations, benchmarking (WoFSv1 vs. WoFSv2), as well as retrospective and real-time simulations to evaluate forecast skills, operational readiness, and overall system value.
  • Expand the system's geographical scope by developing the capability to run WoFS outside the CONUS domain.
  • Develop new WoFS products and metrics for a wider range of high-impact weather hazards beyond severe convection, leveraging forecasters input.
  • Support the development and testing of the MPAS-JEDI-based WoFS v2 prototype.
  • Develop a robust, unified end-to-end workflow for the WoFSv2 system, integrating all components: model input preprocessing, data assimilation, forecasting, post-processing, product generation, and visualization.
  • Establish, maintain, and manage GitHub repositories to support version control and code development.
Qualifications

The Ideal Physical Scientist and Warn-on-Forecast System Developer will have the following:

  • Education: M.S or higher in Atmospheric Science, Meteorology, Computer Science, Software Engineering, or a closely related field.
  • Advanced knowledge of Numerical Weather Prediction (NWP) modeling of convective and mesoscale meteorology, ensemble data assimilation, and atmospheric physics and dynamics.
  • Experience in developing weather forecasting systems built on WRF and MPAS
  • Experience in software development, code management (e.g., GitHub), and integrating complex modeling and data assimilation components.
  • Experience assimilating weather radar, satellite, conventional, mesonet and conventional observations with GSI or JEDI to improve initial conditions for rapid-fresh, convection-allowing ensemble short-range weather prediction systems is preferred.
  • Programming Skills: Strong proficiency in Fortran and modern scripting languages, particularly Python (including scientific packages for AI/ML training and verification). 
  • Experience working within cloud High Performance Computing environments is highly desired.
  • Communication: Excellent oral and written communication skills with a proven ability to work both independently and within a multi-disciplinary team.

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:

  • 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) - we're all company owners!
  • 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 to learn at your own pace
  • 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.

 Fraud Alert: Recruitment Scam Warning: Lynker has been made aware of fraudulent individuals posing as Lynker recruiters and offering fake job opportunities. All legitimate Lynker job postings are listed on our official careers page. Communication from Lynker recruiters will come from an official @lynker.com email address.

    Employment Type: FULL_TIME