Physical Scientist and Ensemble Modeler Atmospheric River Forecasting

Lynker Technologies

Physical Scientist and Ensemble Modeler for Atmospheric River Forecasting

US-MD-College Park

Job :

Type: Full-Time

# of Openings: 1

Category: Physical Scientist

College Park, MD

Lynker is seeking a talented Physical Scientist and Ensemble Modeler for Atmospheric River Forecasting, 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 Physical Scientist and Ensemble Modeler 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 Unified Forecast System (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.

Duties of the Physical Scientist and Ensemble Modeler for Atmospheric River Forecasting will include the following:

The candidate will perform their job duties to a high standard, working both independently and collaboratively. They will assist in managing projects and in developing and applying innovative methods within the primary work areas outlined below. The candidate will collaborate with EMC scientists and external partners to calibrate, optimize, and evaluate the UFS-based Atmospheric River Forecasting systems. The primary focus will be on designing and developing ensemble modeling capabilities for Atmospheric River forecasts, including development of advanced algorithm enhancements, physical parameterization schemes, and data assimilation.

The successful candidate will work on supporting the following scientific and engineering tasks:

• 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.

The Physical Scientist and Ensemble Modeler for Atmospheric River Forecasting selected should have the following:

• An Advanced degree (M.S. or Ph.D.) in Atmospheric Science, Meteorology, Oceanography, Computer Science, or a related field.
• 5+ years of experience in scientific programming.
• 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.

The Ideal Physical Scientist and Ensemble Modeler for Atmospheric River Forecasting selected should have the following:

• 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 activities.
• Record of peer-reviewed publications in ensemble modeling or atmospheric river prediction.

Candidates must be U.S. Citizen or Green Card Holder to qualify (please indicate in your cover letter).

Lynker is a growing, employee owned, small business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities – creatively and effectively.

Lynker offers a…