Satellite Data Assimilation and Fire Weather Modeling Specialist (Scientist IV)

FedWriters, Inc.; United States; Remote; USD 83,000 - 87,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Long-term and Short-term Disability

Life Insurance

401(k) Plan

Holiday Pay

Paid Time Off

Job summary

FedWriters, Inc. is seeking a Satellite Data Assimilation and Fire Weather Modeling Specialist to advance convective- and meso-scale atmospheric modeling within MPAS/WRF frameworks. You will integrate satellite and in-situ observations via ensemble data assimilation to improve fire behavior, smoke transport, and aerosol forecasts.

The role is fully remote, with standard business hours and travel as needed. Requirements include an MS degree (PhD preferred) and 8+ years of experience in

Qualifications

• MS Degree (PhD preferred) in meteorology, atmospheric science, computer science, engineering, or related field.
• 8+ years of professional or academic experience.
• Experience with convective- or meso-scale numerical weather prediction modeling is desirable.

Responsibilities

• Develop, modify, and maintain components of advanced atmospheric modeling systems within MPAS and/or WRF frameworks.
• Implement and evaluate ensemble-based data assimilation methodologies for integrating satellite and in situ observations into fire, smoke, and aerosol prediction systems.
• Conduct research and development to improve fire behavior, smoke transport, and aerosol parameterizations in numerical weather prediction models.
• Design, execute, and analyze convective- and meso-scale modeling experiments using HPC resources.
• Develop workflows and software tools using Git, Python, Bash, Fortran, and related technologies to support model development, testing, and evaluation.
• Analyze model performance and observations to identify improvements in forecast skill and physical representation of fire-atmosphere processes.
• Collaborate with multidisciplinary teams to support development of next-generation fire and smoke forecasting capabilities.
• Prepare technical documentation, code repositories, validation reports, and workflow descriptions for research and operational activities.
• Contribute to project reporting, including quarterly and annual progress reports.
• Lead or contribute to peer-reviewed publications and present findings at conferences.

Skills

MPAS/WRF

Python

Fortran

Git

HPC

Data assimilation

Fire weather

Communication

Team collaboration

Education

MS Degree (PhD Preferred) in meteorology, atmospheric science, computer science, engineering, or related field

Tools

Git

Job description

Overview

As wildfires increasingly reshape the weather around them, NOAA needs modeling systems that can keep up. As FWI's Satellite Data Assimilation and Fire Weather Modeling Specialist supporting NSSL's Warn-on-Forecast (WoFS) initiative, you will develop and advance convective- and meso-scale atmospheric modeling systems — within the MPAS and/or WRF frameworks — that integrate satellite and in-situ observations through ensemble-based data assimilation to better predict fire behavior, smoke transport, and aerosol impacts. This is high-performance-computing science with real operational stakes: your work will help the National Weather Service better forecast how fire and atmosphere interact.

Work Schedule and Location:

Remote: This full-time remote position will work Monday through Friday, 8 AM CST to 5 PM CST.

Responsibilities

• Develop, modify, and maintain components of advanced atmospheric modeling systems within MPAS and/or WRF frameworks
• Implement and evaluate ensemble-based data assimilation methodologies for integrating satellite and in situ observations into fire, smoke, and aerosol prediction systems
• Conduct research and development activities to improve fire behavior, smoke transport, and aerosol parameterizations in numerical weather prediction models
• Design, execute, and analyze convective- and meso-scale modeling experiments using high-performance computing (HPC) resources
• Develop workflows and software tools using Git, Python, Bash, Fortran, and related technologies to support model development, testing, and evaluation
• Analyze model performance and observational datasets to identify opportunities for improving forecast skill and physical representation of fire-atmosphere processes
• Collaborate with multidisciplinary research teams to support development of next-generation fire and smoke forecasting capabilities
• Prepare technical documentation, code repositories, validation reports, and workflow descriptions to support research and operational activities
• Contribute to project reporting requirements, including quarterly and annual progress reports
• Lead or contribute to peer-reviewed scientific publications and present research findings at national and international conferences, workshops, and stakeholder meetings

Qualifications

Required:

• MS Degree (PhD Preferred) in meteorology, atmospheric science, computer science, engineering, or a related field
• 8+ years of professional or academic experience

Desired:

• Experience with convective-scale and/or meso-scale numerical weather prediction modeling
• Demonstrated expertise in ensemble-based data assimilation techniques
• Prior experience in fire, smoke, and/or aerosol modeling and prediction
• Proficiency modifying and developing code within MPAS, WRF, or similar atmospheric modeling frameworks
• Advanced programming experience using Python, Bash, Fortran, Git, and related scientific software tools
• Experience utilizing complex modeling systems in high-performance computing (HPC) environments
• Understanding of aerosol, fire, and smoke parameterization schemes and their application within numerical models
• Demonstrated ability to communicate scientific results through presentations, technical reports, and peer-reviewed publications
• Ability to work effectively as part of an interdisciplinary research and development team

Work Setting and Environment:

• Primary location: Remote
• 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
• 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

Why Join Our Team

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

Pay Range

$83,000.00 to $87,000.00