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Salary– DOE

Key Responsibilities may include the following:

  • Perform quality control and review of water level data to complete updates of Sea Level Trends, Exceedance Probability, High Tide Flooding, and Extreme Water Level products, on a routine basis as well as after high-water events.
  • Conduct statistical analyses in support of the annual High Tide Flooding Outlook report and quarterly High Tide Bulletin. Support product automation and integration into the Coastal Inundation Dashboard, resulting in seamless access across timescales through a single tool that builds situational awareness on coastal water levels. 
  • Develop prototype products and visualizations of water level, wave, or vertical land motion statistics and predictions using Python and MATLAB.
  • Develop API/data services of gridded water level data, including sea level projections and scenarios, minor and major water level extremes, high tide flooding probabilities, and vertical land motion from a sea level rise technical report to be integrated into the Fifth National Climate Assessment.
  • Support requirements development and use of the gridded API data services to support the development of a next-generation inundation analysis tool or “calculator”.
  • Provide computation, scientific coding, and GIS support to build improved hazard visualization products, including integrating legacy products like sea level rise trends with vertical land motion and producing mean sea level and water temperature.
  • Support the transition of external research of a 40-year reanalysis of ADCIRC-modeled water levels along the entire U.S. ocean coastline into CO-OPS operational environment through GitHub and Cloud services. Develop API/data services of gridded water level data and determine solutions to integrate the gridded data set with point-based data to fill the gaps between NOAA water level stations at approximately every 500m along the coast.
  • Aid in the planning for legacy point-based products to be consolidated and removed from CO-OPS website as gridded products become operational. 
  • Aid in the development and operationalization of nearshore wave observations, which will support marine navigation, hydrodynamic model development, coastal change forecasts, and the prediction of coastal hazards such as rip currents, storm surge, and wave run-up.
  • In a database environment, identify and resolve deficiencies in water level datasets and metadata required to produce oceanographic products. 
  • Assist with the revision of SOPs used to analyze oceanographic data and generate products.
  • Assist with the development of presentations, technical reports, and peer-reviewed publications in areas of expertise.