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Physical Scientist
2 months ago
SAIC is seeking a highly skilled Atmospheric Science Specialist to join our team in supporting the National Centers for Environmental Prediction (NCEP) at the Environmental Modeling Center (EMC). As a member of the Verification team within the Verification, Post-Processing, and Product Generation Branch (VPPPGB), you will play a critical role in a fast-paced, highly collaborative environment.
Key Responsibilities- Evaluate and assess the guidance provided by the EMC global forecast model, the Global Forecast System (GFS), including both atmospheric and marine components.
- Design new methods and verification tools for assessing global model results for forecasts with the EMC Verification System (EVS).
- Assess longer-term performance of parallel versions of the GFS using objective methods.
- Validate performance of new, emerging parallel versions of the GFS, using both statistical and subjective methods.
- Work with forecasters in the NWS field and NCEP National Centers to keep them informed of global model biases and upcoming changes, and investigate global model problems that are reported.
- Provide general support on verification of GFS output, including support of standard global forecast metrics used by the World Meteorological Organization (WMO).
- Maintain an ongoing archive of global model and observations data.
- Interact with NWS/NCEP/EMC and external partner domain scientists and engineers.
- Adhere to DOC/NOAA/NWS Information Technology policies and procedures.
- Adhere to project-specific software development guidelines and practices.
- Complete scientific projects in a timely fashion according to internal and external schedules.
- Actively contribute to review of scientific ideas at status/technical meetings.
- Contribute to a monthly task status report.
- Report regularly to senior project managers on project task completion status.
We are seeking a highly qualified candidate with a strong background in atmospheric sciences, meteorology, mathematics, or a related physical science. The ideal candidate will have at least an M.S. or equivalent experience and at least two years of experience with analysis, modeling, or monitoring of ensemble Earth System Models (ESMs).
Requirements- Knowledge of the verification methods and techniques for verifying ensemble and deterministic Earth System Models (ESMs).
- Extensive experience with working with the Python programming language in a high-performance supercomputing UNIX environment, to both calculate ESM verification metrics and create custom graphical plots to view and communicate results.
- Knowledge of the FORTRAN computing language and graphical display programs such as GRADS, GEMPAK, MATLAB, IDL, etc.
- Knowledge of common meteorological data formats, such as GRIB2, NetCDF, HDF, BUFR, etc.
- Knowledge of model verification software systems, such as the Model Evaluation Tools (METplus).
- Demonstrated knowledge with using GitHub to manage software repositories and projects.
- Some knowledge of using web page technology and common languages (e.g., HTML, Javascript) to display plots of ESM verification data.
- Demonstrated skill in communicating effectively with scientists of diverse backgrounds, and the ability to present results accurately and clearly in both oral and written form.
- Ability to analyze/plot and verify model output independently.
- Ability to work independently and collaboratively on complex problems.
- Demonstrated skill in performing tasks requiring organization and attention to detail.
