All-sky/All-surface Radiance Satellite Data Assimilation Physical Scientist
Axiom Consultants
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- Location
- College Park, MD
- Work style
- Hybrid
- Job type
- Full time
- Posted
- Oct 14
- 5 days ago
Career path
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About the company
Axiom Consultants
Information technology and services · 11 to 50 employees
What you'll do
- Develop and improve techniques for assimilating all-sky/all-surface satellite radiances, including quality control, bias correction, and observation error specification.
- Design, run, and evaluate impact assessments and pre-implementation tests to support transition to operations.
What you need
- Requires knowledge of satellite data assimilation for numerical weather prediction, geophysical modeling, and radiative transfer, plus experience running advanced numerical weather prediction models and using modern programming languages and UNIX scripting.
Key skills
data assimilationsatellite datanumerical weather predictionradiative transferCommunity Radiative Transfer Modelobject-oriented FORTRANPythonC++UNIX environmentadvanced scripting languagesoral and written communication
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Perks
- medical/dental/life insurance
- matching 401(k) contribution
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Read the full posting here
Overview
Axiom is looking for a candidate to support the Office of Modeling and Development (OMD) of the National Weather Service (NWS) in carrying out research, development, and operational transition work related to satellite data assimilation for operational applications of the Unified Forecast System (UFS). The candidate's work will involve the development, execution, testing, and evaluation of innovative techniques to enhance the direct assimilation of "all-sky/all-surface" satellite radiances for use in operational environmental prediction capabilities at OMD. THIS IS A HYBRID ROLE.
Responsibilities
The candidate will perform the job duties in a collaborative environment, assisting developing and applying innovative methods for the primary work areas described below. The candidate will work with OMD scientists and external collaborators to develop innovative all-sky/all-surface satellite radiance data assimilation capabilities for use in applications of the UFS, with emphasis on global medium range numerical weather prediction. In particular, the candidate will utilize the Community Radiative Transfer Model (CRTM). The work will leverage and contribute to the Joint Center for Satellite Data Assimilation, including the Joint Effort for Data assimilation Integration (JEDI) project.
The successful candidate will work in the following areas:
Develop new or enhance existing techniques for the assimilation of microwave radiance data made by prototype and operational low Earth orbit satellites such as the Arctic Weather Satellite (AWS) in all sky conditions and over heterogeneous surface conditions.
Improve upon quality control, bias correction, and/or observation error specification, including through the use of AI/ML techniques, to enhance the assimilation of all-sky/all-surface satellite radiance data and AMVs.
Design, setup, and execute impact assessment and pre-implementation testing to facilitate transition to operations.
Qualifications
Demonstrated knowledge, skills and abilities in the following areas:Required:
Knowledge of data assimilation with focus on the assimilation of satellite data for numerical weather prediction.
Knowledge of the physical and mathematical basis of geophysical modeling (atmospheric and/or environmental) and experience running advanced numerical weather prediction models.
Advanced knowledge of radiative transfer and experience with radiative transfer modeling for data assimilation, such as the Community Radiative Transfer Model (CRTM) or Radiative Transfer for TOVS (RTTOV).
Knowledge and experience of modern programming languages such as object-oriented FORTRAN, Python, and/or C++.
Experience working in a UNIX environment with advanced scripting languages.
Good oral and written communication skills in English.
Must be a U.S. Citizen or Green Card Holder to and must live in US for 3-5 years prior to application
Desired
Experience in running numerical models on High Performing Computer (HPC) platforms using MPI, OpenMP, Slurm, LSF, etc.
Familiarity with variational data assimilation techniques.
Familiarity with the assimilation of satellite radiances impacted by clouds and precipitation.
Experience with coupled earth system models.
Knowledge of modern software engineering practices (requirements gathering, design, prototyping, version control, integration, testing, and documentation).
Axiom offers competitive compensation packages including comprehensive medical/dental/life insurance and matching 401(k) contribution.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)