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Atmosphere Model Jobs in Oklahoma (NOW HIRING)

Bartender

Oklahoma City, OK ยท On-site

$15 - $75/hr

Join the Team as a Model/Bartender at Little Darlings Oklahoma City! Looking for a role that combines energy, excitement, and a vibrant atmosphere? Little Darlings Oklahoma City is seeking a talented ...

... modeling to join our growing team. This role is ideal for someone who enjoys tackling complex ... An atmosphere of excellence with concentration on what can be Benefits: * 401(k) * Dental insurance

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Atmosphere Model information

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$9

$28

$61

How much do atmosphere model jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for atmosphere model in Oklahoma is $28.96, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $36.20 per hour, depending on experience, location, and employer.

What is an atmosphere model?

An atmosphere model is a mathematical or computational representation of the Earth's atmosphere, used to simulate and predict atmospheric processes such as weather, climate, and air quality. These models use physics, chemistry, and data from observations to describe how air moves, how clouds form, and how energy is transferred within the atmosphere. Scientists and meteorologists rely on atmosphere models to forecast weather, study climate change, and assess environmental impacts. There are different types of models, ranging from simple to highly complex, depending on the purpose and scale of the study.

What are some common challenges faced by atmospheric modelers and how can they be addressed?

Atmospheric modelers often encounter challenges such as handling large datasets, integrating diverse sources of environmental data, and ensuring the accuracy of simulations. They must also stay current with evolving modeling software and computational techniques. Collaborating closely with meteorologists, climate scientists, and data analysts can help address these challenges by sharing expertise and refining models. Continuous professional development and participating in interdisciplinary research projects also support overcoming technical and scientific hurdles.

What are the key skills and qualifications needed to thrive as an atmospheric modeler, and why are they important?

To thrive as an Atmospheric Modeler, you need a strong background in atmospheric science, mathematics, and computer programming, usually supported by a degree in meteorology, environmental science, or a related field. Familiarity with modeling software like WRF or CMAQ, programming languages such as Python or Fortran, and experience working with climate data sets are typically required. Analytical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and collaborating with multidisciplinary teams. These capabilities are vital for producing accurate atmospheric predictions and informing decisions related to weather forecasting, climate research, and environmental policy.

What is the difference between Atmosphere Model vs Atmospheric Scientist?

AspectAtmosphere ModelAtmospheric Scientist
CredentialsTypically requires a degree in atmospheric science, meteorology, or related fields; familiarity with modeling softwareRequires a degree in atmospheric science, meteorology, or related fields; often includes research experience
Work EnvironmentPrimarily involves working with computer models, simulations, and data analysis in research or government labsConducts fieldwork, data collection, and analysis; may work in labs, offices, or outdoors
Industry UsageUsed by climate research centers, weather agencies, and environmental organizations for forecasting and climate modelingEmployed by research institutions, government agencies, and universities for studying atmospheric phenomena

While an Atmosphere Model focuses on developing and running simulations of atmospheric processes, an Atmospheric Scientist conducts research, data collection, and analysis to understand weather and climate patterns. Both roles require similar educational backgrounds but differ in daily tasks and work environments.

How to become an atmosphere model?

To become an atmosphere model, candidates typically need a bachelor's degree in atmospheric science, meteorology, or a related field. Developing skills in climate modeling software, programming languages like Python or Fortran, and understanding of atmospheric physics are essential. Gaining experience through internships or research projects can also improve job prospects.

What are popular job titles related to Atmosphere Model jobs in Oklahoma?

For Atmosphere Model jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Atmosphere Model jobs in Oklahoma look for?

The top searched job categories for Atmosphere Model jobs in Oklahoma are:

What cities in Oklahoma are hiring for Atmosphere Model jobs?

Cities in Oklahoma with the most Atmosphere Model job openings:

Infographic showing various Atmosphere Model job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $60,244 per year, or $29 per hour.

MPAS-JEDI Systems and Convective-Scale Modeling Specialist (Scientist IV)

FedWriters, Inc.

Norman, OK โ€ข On-site

$83K - $87K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

MPAS-JEDI is the backbone of NSSL's next-generation convective-scale modeling and data assimilation work โ€” and it needs someone who can keep the software, the science, and the HPC infrastructure all moving together. As FWI's MPAS-JEDI Systems and Convective-Scale Modeling Specialist, you will develop, install, and support MPAS-JEDI and related modeling/data assimilation systems across HPC, cloud, and operational computing platforms, supporting WoFS and WoFSCast research and operational transition. You'll be equally at home writing Python/Fortran workflow tools and diagnosing a storm-scale forecast bust.

Work Schedule and Location:

Hybrid: This full-time hybrid position will work Monday through Friday, 8 AM CST to 5 PM CST, with 90% at National Severe Storms Laboratory (NSSL), National Weather Center, Norman, Oklahoma, or designated field deployment locations.


  • Develop, install, maintain, and support MPAS-JEDI and related atmospheric modeling and data assimilation systems on HPC, cloud, and operational computing platforms
  • Develop and maintain scientific software, workflows, and automation tools using Python, Bash, Git, Fortran, and related technologies
  • Implement and support real-time and retrospective modeling workflows using workflow management systems such as EC-Flow, Rocoto, or similar frameworks
  • Support ensemble-based data assimilation, numerical weather prediction, software integration, testing, version control, and operational transition activities
  • Manage, organize, and validate large modeling and observational datasets supporting WoFS, WoFSCast, MPAS-JEDI, and ML/AI applications
  • Conduct model verification, diagnostics, quality control, and forecast evaluation using METplus and related verification frameworks
  • Design, execute, and analyze convective- and meso-scale numerical experiments focused on storm-scale forecasting and data assimilation applications
  • Collaborate with scientists, students, software engineers, and operational partners to resolve technical issues and advance forecasting capabilities
  • Prepare technical documentation, reports, presentations, and scientific publications supporting project and research objectives

Required: 

  • MA/MS (PhD. Preferred) in meteorology, atmospheric science, computer science, engineering, applied mathematics, or a related field
  • 8+ years of relevant professional or academic experience

Desired: 

  • Experience with convective- and/or meso-scale numerical weather prediction and ensemble-based data assimilation systems
  • Proficiency in Python, Bash, Git, and scientific software development in HPC environments
  • Familiarity with MPAS-JEDI, JEDI, WoFS, WoFSCast, MPAS, WRF, or similar modeling and data assimilation frameworks
  • Experience with operational workflow management systems (e.g., EC-Flow, Rocoto) and large atmospheric modeling and observational datasets
  • Knowledge of storm-scale forecasting, forecast verification methodologies, model diagnostics, and quality control procedures, including tools such as METplus
  • Demonstrated ability to collaborate effectively within multidisciplinary teams and communicate technical and scientific results through presentations, reports, and peer-reviewed publications

Work Setting and Environment:

  • Primary location: National Severe Storms Laboratory (NSSL), National Weather Center, Norman, Oklahoma, or designated field deployment locations
  • Normal work hours are Monday through Friday, 8 hours per day / 40 hours per week, excluding federal holidays; field data-collection activities may require irregular hours during active severe weather events
  • Remote work arrangements must be reviewed and approved in advance by the Contracting Officer's Representative (COR); on-site presence may be required based on mission, field operations, collaboration, or security needs
  • Local and non-local travel may be required, not anticipated to exceed 5% annually; all unplanned travel must be approved in writing by the COR at least 10 calendar days in advance
  • Must complete an online IT security awareness course within one week of starting work
  • Foreign national candidates are subject to export control review and require CO/COR approval prior to consideration
  • Government-furnished equipment provided, including access to HPC resources, specialized mobile observation platforms, laboratory test equipment, computers, and office workspace, as applicable

FWI is an Equal Opportunity Employer, including disability/vets. 


At FWI, we place the highest importance on creating an exceptional employee experience. You'll have opportunities to achieve your career aspirations through internal promotions, professional development, and other recognition and rewards programs. Join our team and take advantage of the many benefits we offer, including:

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Long-term and Short-term Disability Insurance
  • Life Insurance
  • 401(k) Plan
  • Holiday Pay
  • Paid Time Off

$83,000.00 to $87,000.00