Learn more with Amy Simonson -- the USGS Northeast Region Coastal Science Capability Team co-leader, and an Urban Landscapes and Flood Science Capability Team member -- about how we work with scientists across science centers and in some cases other USGS regions to increase communication and awareness as well as provide opportunities for collaboration. See all the Northeast Region Capability Teams here: https://doimspp.sharepoint.com/sites/usgs-Northeast-Region/SitePages/CT.aspx.
We welcome membership in any of the Capability Teams, even if you are outside the Northeast Region. To be added, please refer to the CT Lead Contacts in the CT SharePoint site.
Do you have questions about NuGo2? NuGo2 replaced deprecated Go2 scripts to send alerts to field staff about transmission problems, erroneous data, and measurements needed based on current conditions. This session will include hands-on training to set up, customize, and troubleshoot NuGo2 configurations. We will cover frequently asked questions and tips and tricks for NuGo2 setup. We want to see varied use cases for NuGo2 - bring any questions, suggestions, and issues, and we will work through them. Hydrographers and data managers will gain the skills and knowledge needed to use NuGo2 for improved site monitoring and management.
How is NuGo2 working for you? This is a follow up of the first NuGo2 session - though the first session is not prerequisite! If you attended the first session, then you configured NuGo2 and may have received email alerts. In this session, we will examine notifications and follow up on any questions about the results and settings. If you missed the first session, we will review details on set up, customization, and troubleshooting of NuGo2 configurations along with frequently asked questions and discussion of known limitations, future plans, and timelines.
This session introduces a set of state-level Python notebooks that use hyswap to generate maps and charts of current water conditions. These notebooks are designed to be easy to run and modify, providing a practical entry point for creating visuals that were previously available through legacy systems like WaterWatch.
Participants will learn how to produce 7-, 14-, and 28-day percentile maps, along with HUC-based runoff maps, using reproducible workflows that can be adapted to different states or regions. The session will walk through how the notebooks are structured, how they access and process data, and how outputs can be customized for specific communication or analysis needs.
This is a hands-on, work-along session. Attendees are encouraged to bring a laptop and follow along as we get the notebooks running locally, step through the code, and make simple modifications. Support will be provided to help participants set up Python environments and troubleshoot issues so they can continue using the notebooks independently after the session. The session is open to anyone interested in learning how to generate state-level water condition visuals using Python, regardless of prior experience.
