ZipRecruiter

Log In

1

Atmospheric Modeling Jobs (NOW HIRING)

Zymtronix Catalytic Systems Inc

NY · On-site

$62K - $88K/yr

Integration of climate pattern effects (e.g., ENSO) into risk models (25%) * Regular engagement with industry partners and the scientific community (10%) Requirements * Ph.D. in Atmospheric Sciences ...

The Pennsylvania State University

In addition to UXarray-focused responsibilities, the postdoc will contribute to active research in global atmospheric modeling and weather and climate extremes. This includes participating in tasks ...

Barbaricum

Pre-Award: MXM- Scientist III

Crane, IN · On-site

You will provide research and development support in state-of-the-art computational electromagnetic (EM) modeling, atmospheric modeling, swarming algorithms, and data/signal processing, and will ...

next page

Showing results 1-20

All JobsScience JobsAtmospheric Modeling Jobs

Atmospheric Modeling information

See salary details

$29K

$93.6K

$183K

How much do atmospheric modeling jobs pay per year?

As of Sep 12, 2026, the average yearly pay for atmospheric modeling in the United States is $93,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $119,000.00 per year, depending on experience, location, and employer.

What is atmospheric modeling?

Atmospheric modeling is the use of computer-based mathematical models to simulate and predict the behavior of the Earth's atmosphere. These models help scientists understand weather patterns, climate change, air pollution, and other atmospheric phenomena. Atmospheric modeling is essential for making weather forecasts, studying long-term climate trends, and assessing environmental impacts. The field combines physics, chemistry, and data analysis to create simulations that can be used by researchers, meteorologists, and policymakers.

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, often supported by an advanced degree in meteorology or a related field. Familiarity with programming languages like Python or Fortran, experience using atmospheric modeling software (such as WRF or GCMs), and proficiency in data analysis tools are typically required. Critical thinking, problem-solving, and effective communication are important soft skills for interpreting model results and collaborating with multidisciplinary teams. These competencies are crucial for producing accurate forecasts, advancing scientific understanding, and informing policy or operational decisions based on atmospheric data.

What are the main challenges atmospheric modelers face when integrating new data sources into existing models?

Atmospheric modelers often encounter challenges when incorporating new data sources, such as ensuring data quality, consistency, and compatibility with existing model frameworks. Integrating data from various sensors or satellites may require preprocessing to address differences in resolution, timing, or measurement techniques. Additionally, updating models with new data can impact computational efficiency and require recalibration or validation to maintain accuracy. Close collaboration with data scientists and other researchers is common to streamline this process and ensure robust model performance.

What is the difference between Atmospheric Modeling vs Meteorologist?

AspectAtmospheric ModelingMeteorologist
Required CredentialsDegree in atmospheric sciences, meteorology, or related field; often requires programming skillsDegree in meteorology, atmospheric sciences, or related; may include certification or licensing
Work EnvironmentResearch labs, government agencies, or academic institutions; focus on simulations and data analysisWeather stations, media, government agencies; focus on weather forecasting and communication
Industry UsageUsed for climate modeling, weather prediction, and environmental researchUsed for daily weather forecasts, severe weather alerts, and public information

While both roles involve understanding atmospheric phenomena, atmospheric modeling focuses on creating simulations and predictive models using computer algorithms, whereas meteorologists interpret weather data to provide forecasts and public advisories. Both careers require a strong background in atmospheric sciences, but their daily tasks and work environments differ significantly.

Do atmospheric modeling scientists make good money?

Atmospheric modeling scientists typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start around $60,000 annually, while experienced professionals can earn over $100,000, especially with advanced skills in programming and data analysis. The field often requires a strong background in atmospheric sciences, computer modeling, and relevant certifications.
More about Atmospheric Modeling jobs

What cities are hiring for Atmospheric Modeling jobs?

Cities with the most Atmospheric Modeling job openings:

What are the most commonly searched types of Atmospheric Modeling jobs?

The most popular types of Atmospheric Modeling jobs are:

What states have the most Atmospheric Modeling jobs?

States with the most job openings for Atmospheric Modeling jobs include:

What job categories do people searching Atmospheric Modeling jobs look for?

The top searched job categories for Atmospheric Modeling jobs are:

What other helpful pages are available for Atmospheric Modeling?

Other pages related to Atmospheric Modeling:

Atmospheric Modeling jobs near you
Infographic showing various Atmospheric Modeling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $93,625 per year, or $45 per hour.

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

Norman, OK • On-site

Jobtailor
See more jobs at Jobtailorexternal

Other

Posted 6 days ago

Job description


  • Develop, install, maintain, and support MPAS-JEDI and related atmospheric modeling and data assimilation systems across 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 EC-Flow, Rocoto, or similar workflow management systems

  • 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 for WoFS, WoFSCast, MPAS-JEDI, and ML/AI applications

  • Conduct model verification, diagnostics, quality control, and forecast evaluation using METplus and related frameworks

  • Design, execute, and analyze convective- and meso-scale numerical experiments for storm-scale forecasting and data assimilation

  • 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


Requirements

  • MA/MS in meteorology, atmospheric science, computer science, engineering, applied mathematics, or a related field required

  • 8+ years of relevant professional or academic experience

  • PhD preferred

  • 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 such as EC-Flow or 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

  • Ability to collaborate effectively within multidisciplinary teams and communicate technical and scientific results through presentations, reports, and peer-reviewed publications

  • 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

  • Ability to work Monday through Friday, 8 AM CST to 5 PM CST

  • Ability to work irregular hours during active severe weather events when required for field data collection

  • Ability to travel locally and non-locally, not anticipated to exceed 5% annually

  • Must obtain written COR approval at least 10 calendar days in advance for unplanned travel


Core Competencies

Demonstrates expertise in developing and maintaining atmospheric modeling and data assimilation systems, with proficiency in Python, Bash, and Git. Capable of managing large datasets and conducting model verification and diagnostics to enhance forecasting capabilities.


Highest-signal resume keywords

  • Python Programming

  • Atmospheric Modeling

  • Data Assimilation Systems

  • Workflow Management Systems

  • Model Verification


ATS Optimization Keywords
Hard Skills

  • Python

  • Bash

  • Git

  • Fortran

  • HPC Environments

  • Numerical Weather Prediction

  • Ensemble-Based Data Assimilation

  • Model Diagnostics

  • Quality Control

  • Scientific Software Development


Soft Skills

  • Collaboration

  • Communication

  • Technical Documentation


Certifications & Qualifications

  • MA/MS in Meteorology

  • PhD Preferred

  • IT Security Awareness Course


Industry Keywords

  • Atmospheric Science

  • Storm-Scale Forecasting

  • Forecast Verification Methodologies

  • Operational Computing Platforms

  • Multidisciplinary Teams


Tools & Technologies

  • MPAS-JEDI

  • JEDI

  • WoFS

  • WoFSCast

  • EC-Flow

  • Rocoto

  • METplus

#J-18808-Ljbffr

Apply