Remote Fire Weather Modeling & Data Assimilation Specialist

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

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