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Atmospheric Modeling Jobs (NOW HIRING)

Nrel

Computational Atmospheric Scientist

Boulder, CO · Hybrid

Additional tools may include AI/ML surrogates and forecasting models, WRF, and data assimilation of ... Expertise in atmospheric turbulence, and validation of numerical models against observations

Leidos

Hyperspectral Image Scientist

Springfield, VA · On-site

$92K - $166K/yr

Familiarity with sensor calibration, atmospheric modeling, physics-based exploitation, and sensor phenomenology. * Experience with machine learning or artificial intelligence methods applied to ...

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Atmospheric Modeling information

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$29K

$93.6K

$183K

How much do atmospheric modeling jobs pay per year?

As of Jul 11, 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 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.

What is atmospheric modelling?

Atmospheric modeling is the process used by atmospheric modelers to simulate and analyze the Earth's atmosphere using computer models. It involves applying physics, chemistry, and meteorological data to predict weather patterns, climate changes, and air quality, often utilizing specialized software and data analysis skills. Atmospheric modelers typically work with large datasets and may require knowledge of programming languages like Fortran or Python.

How much do atmosphere models get paid?

Atmospheric modelers typically earn between $60,000 and $110,000 annually, depending on experience, education, and location. Entry-level positions may start around $50,000, while senior roles or those requiring specialized skills can pay over $120,000. Salaries often increase with proficiency in modeling tools and relevant certifications.

Does atmospheric science pay well?

Atmospheric modeling is a specialized field within atmospheric science, and professionals in this area often earn competitive salaries, especially with advanced degrees and experience. Salaries can vary based on location, employer, and level of expertise, with opportunities in government agencies, research institutions, and private companies typically offering higher compensation for skilled analysts familiar with modeling tools and data analysis.

What is an atmosphere model job?

An atmospheric modeling job involves developing and running computer simulations to analyze and predict atmospheric phenomena such as weather, climate, and air quality. These roles typically require skills in programming, data analysis, and knowledge of atmospheric science, often using tools like climate models and modeling software. Professionals in this field may work for research institutions, government agencies, or environmental organizations.

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 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 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.
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:
Atmospheric Modeling jobs near you
Infographic showing various Atmospheric Modeling job openings in the United States as of July 2026, with employment types broken down into 79% Full Time, 19% Part Time, 1% Temporary, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $93,625 per year, or $45 per hour.
Ocean Modeling & Data Assimilation Researcher

Ocean Modeling & Data Assimilation Researcher

Peraton

Stennis Space Center, MS • On-site, Remote

$80K - $128K/yr

Full-time

Re-posted 20 days ago

Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

42nd of 210 rated it services

Job description

Responsibilities

Peraton is seeking a motivated Ocean Modeling and/or Data Assimilation Researcher to join our growing team at the Naval Research Laboratory (NRL) at Stennis Space Center. This role supports cutting-edge research focused on improving ocean model capabilities and assimilating new, high-resolution observational data to support the Navy's Earth System Prediction Capability (ESPC) and global forecasting systems.

As new instruments deliver unprecedented ocean observations, we need experts to help process, integrate, and innovate-pushing the boundaries of coupled ocean-atmosphere models and real-time ocean prediction.

What You'll Do:You'll contribute to one or more advanced research projects, collaborating with a team of scientists and developers. Responsibilities may include:

  • Writing and optimizing Fortran code for Navy Data Assimilation systems
  • Developing code for ensemble-based data assimilation frameworks
  • Designing schema for processing remotely sensed ocean observations
  • Creating and testing algorithms for operational and research-grade ocean models
  • Conducting evaluation and validation of model enhancements
  • Publishing research in peer-reviewed journals and presenting at scientific conferences
Qualifications

What You'll Need:

  • MS in Oceanography, Mathematics, Physics, or related field (PhD preferred)
  • Proficiency in Fortran, Python, and MATLAB
  • Experience with Linux, shell scripting, VSCode, and High-Performance Computing (HPC)
  • Strong understanding of Numerical Methods, Ocean Modeling, and Data Assimilation
  • Familiarity with U.S. Navy ocean modeling systems
  • Must be eligible to obtain a DoD Secret Clearance
  • Prior experience in a Department of Defense research environment is strongly preferred
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$80,000 - $128,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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