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HOME> Outreach > Climate Diagnostics & Prediction Workshop

NOAA's 49th Climate Diagnostics & Prediction Workshop

UPDATE Feb 2026:
2026 Subseasonal to Seasonal Analysis, Prediction, and Services
Webinar Series

Announcement

We are pleased to announce the NOAA's Subseasonal to Seasonal (S2S) Analysis, Prediction, and Services virtual seminar series that will showcase speakers from the postponed 2025 Joint Climate Diagnostics and Prediction Workshop (CDPW) and Climate Predictions Applications Science Workshop (CPASW). The webinars will include both prediction and services-related topics, including flash drought monitoring and prediction, heat wave prediction and attribution, precipitation prediction, and the use of AI for hydroclimate monitoring and predictability. We will not be able to record the webinars but will post the presentations online with author permission. Please fill out this Google form to receive information on registration for the webinar.

Wed 2/25

2 pm Eastern

Webinar 1: Flash Drought Monitoring

Wed 3/25

2 pm Eastern

Webinar 2: Drought Monitor — Origins and Evolution

  • The U.S. Drought Monitor: An Origin Story Mark Svoboda, National Drought Mitigation Center/University of Nebraska – Lincoln
  • The United States Drought Monitor: A Continuous Development Process Brian Fuchs, National Drought Mitigation Center

Thurs 4/9

3 pm Eastern

Webinar 3: AI to Advance Hydroclimate Monitoring and Prediction

  • Identifying Forecasts of Opportunity for Subseasonal Precipitation Predictions using Explainable Machine Learning Marybeth Arcodia, University of Miami
  • Advancing Real-Time Flood Monitoring using Artificial Intelligence to Improve Hydroclimate Decision Support Ehsan Bhuiyan, NWS Climate Prediction Center/ERT

Wed 4/29

2 pm Eastern

Webinar 4: NWS Climate Prediction Center Updates

  • The CPC's official Week 3–4 Outlook is nearly 10 years old. How has it fared? Jon Gottschalck, NWS Climate Prediction Center
  • CPC Global Drought Early Warning System for Food Security: Current Status and Challenges Li Xu, NWS Climate Prediction Center