Axiom Consultants
Physical Scientist / Ensemble Modeling Developer – Atmospheric River Forecasting
Axiom Consultants, College Park, Maryland, us, 20741
Overview
Physical Scientist / Ensemble Modeling Developer – Atmospheric River Forecasting Axiom is seeking a candidate to support the Environmental Modeling Center (EMC) of the National Centers for Environmental Prediction (NCEP) in carrying out research and development work related to the Unified Forecast System (UFS) based Atmospheric River Forecasting System. The incumbent will support the Water in the West initiative by supporting the development and implementation of the On-Demand Regional Atmospheric River Ensemble Forecast System (AR-EFS) within the UFS framework. The position focuses on advancing ensemble-based regional modeling, developing data assimilation and post-processing techniques, and preparing the system for real-time applications and potential transition to NWS operations.
Responsibilities
Design, develop, and implement ensemble-based regional AR-EFS configurations using the UFS framework.
Develop and test ensemble perturbation methods, multi-physics configurations, and stochastic physics schemes to improve probabilistic AR prediction skill.
Integrate and evaluate regional data assimilation components using in-situ and satellite observations (e.g., AR Recon data, ASSIST radiances).
Conduct retrospective and near-real-time ensemble experiments for multiple Atmospheric River (AR) seasons.
Collaborate with partners (e.g., EMC, WPC, CW3E, and OAR) to refine model configurations and evaluate system performance.
Support Transition to Operations (T2O) planning with NCEP Central Operations (NCO), ensuring compliance with operational standards and HPC constraints.
Prepare scientific documentation, technical reports, and peer-reviewed publications summarizing findings and outcomes.
Qualifications
Advanced degree (M.S. or Ph.D.) in Atmospheric Science, Meteorology, Oceanography, Computer Science, or a related field with at least 5 years of experience in scientific programming and at least 3 years of specialized experience in coupled forecast and data assimilation systems.
Demonstrated knowledge, skills, and abilities in at least five of the following areas:
Demonstrated experience in numerical weather prediction (NWP) model development and testing (preferably UFS, FV3, HAFS, or similar).
Strong background in ensemble forecasting, data assimilation, or stochastic physics.
Proficiency with high-performance computing (HPC) environments and parallel programming.
Strong analytical and communication skills; ability to work in collaborative, multi-institutional teams.
Preferred Qualifications
Experience with NOAA operational or experimental modeling systems.
Familiarity with probabilistic verification metrics and ensemble bias correction methods.
Experience coordinating transition-to-operations (T2O) or real-time testbed.
Record of peer-reviewed publications in ensemble modeling or atmospheric river prediction.
Benefits Axiom offers competitive compensation packages including comprehensive medical/dental/life insurance and matching 401(k) contribution.
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)
Job Posted by ApplicantPro
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Research, Analyst, and Information Technology
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Physical Scientist / Ensemble Modeling Developer – Atmospheric River Forecasting Axiom is seeking a candidate to support the Environmental Modeling Center (EMC) of the National Centers for Environmental Prediction (NCEP) in carrying out research and development work related to the Unified Forecast System (UFS) based Atmospheric River Forecasting System. The incumbent will support the Water in the West initiative by supporting the development and implementation of the On-Demand Regional Atmospheric River Ensemble Forecast System (AR-EFS) within the UFS framework. The position focuses on advancing ensemble-based regional modeling, developing data assimilation and post-processing techniques, and preparing the system for real-time applications and potential transition to NWS operations.
Responsibilities
Design, develop, and implement ensemble-based regional AR-EFS configurations using the UFS framework.
Develop and test ensemble perturbation methods, multi-physics configurations, and stochastic physics schemes to improve probabilistic AR prediction skill.
Integrate and evaluate regional data assimilation components using in-situ and satellite observations (e.g., AR Recon data, ASSIST radiances).
Conduct retrospective and near-real-time ensemble experiments for multiple Atmospheric River (AR) seasons.
Collaborate with partners (e.g., EMC, WPC, CW3E, and OAR) to refine model configurations and evaluate system performance.
Support Transition to Operations (T2O) planning with NCEP Central Operations (NCO), ensuring compliance with operational standards and HPC constraints.
Prepare scientific documentation, technical reports, and peer-reviewed publications summarizing findings and outcomes.
Qualifications
Advanced degree (M.S. or Ph.D.) in Atmospheric Science, Meteorology, Oceanography, Computer Science, or a related field with at least 5 years of experience in scientific programming and at least 3 years of specialized experience in coupled forecast and data assimilation systems.
Demonstrated knowledge, skills, and abilities in at least five of the following areas:
Demonstrated experience in numerical weather prediction (NWP) model development and testing (preferably UFS, FV3, HAFS, or similar).
Strong background in ensemble forecasting, data assimilation, or stochastic physics.
Proficiency with high-performance computing (HPC) environments and parallel programming.
Strong analytical and communication skills; ability to work in collaborative, multi-institutional teams.
Preferred Qualifications
Experience with NOAA operational or experimental modeling systems.
Familiarity with probabilistic verification metrics and ensemble bias correction methods.
Experience coordinating transition-to-operations (T2O) or real-time testbed.
Record of peer-reviewed publications in ensemble modeling or atmospheric river prediction.
Benefits Axiom offers competitive compensation packages including comprehensive medical/dental/life insurance and matching 401(k) contribution.
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)
Job Posted by ApplicantPro
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Research, Analyst, and Information Technology
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr