The webinar, titled "The Next Gen NOS Model Skill Assessment System," will be held on Tuesday June 3, 2025, at 1-2pm ET. The goal of this session is to learn about how NOS plans to evaluate and verify the performance of existing and upcoming modeling systems. The presentation will be given by Dr. Lucila Houttuijn Bloemendall (NOAA) and will be followed by an open discussion led by Dr. Margaret Palmsten (USGS).
We hope you can join us to learn more about the system and see how you can provide input.
The webinar will be hosted on Google Meet.
Join the meeting with the following information:
Google Meet link: https://meet.google.com/kti-ktaw-nes
Or dial: (US) +1 414-856-5982 PIN: 248 179#
Abstract: NOAA's National Ocean Service (NOS) currently operates and maintains 15 operational forecast systems (OFS) that provide water level, temperature, salinity, currents, and ice predictions for coastal waters around the nation and Great Lakes in critical ports, harbors, and estuaries. Additionally, new OFS are under development with partners which will increase domain coverage and skill. To effectively and efficiently evaluate and verify the performance of existing and upcoming OFS, NOS is developing a new Python-based skill assessment system that will expand upon the existing NOS Fortran-based skill assessment package. This next gen system will include a publicly-available Python codebase that assesses model skill using observations from stations, remote sensing, and 3D profilers, as well as a web-based GIS application that displays and visualizes routine model output and skill. This talk will provide a demonstration of both the Python package and the web application and describe several use cases relevant to the modeling community and NOS OFS users.
