Subseasonal to Seasonal (S2S) forecasting

Subseasonal to Seasonal (S2S) forecasting is sponsored by NOAA Weather Program Office (WPO). This funding opportunity from the NOAA Weather Program Office supports research in Subseasonal to Seasonal (S2S) forecasting.

FY2024 Notice of Funding Awards - NOAA Weather Program Office Portfolio Analysis & Research Transitions REACH – WPO’s Open Science Tool SPARK – WPO’s Project Directory Tool Management and Administration Science, Technology, and Society Joint Technology Transfer Initiative Earth System Research and Modeling Earth Prediction Innovation Center Subseasonal to Seasonal Research Observations and Research Support Supplemental Appropriations Portfolio Analysis & Research Transitions Cross-Division Initiatives The Data Assimilation Consortium Explore FY25 Funded Projects W.

I. N. G.

S. Fellowship 2025 NOAA’s Weather Program Office Awards $3. 74 Million for Critical Improvements in Weather Forecasting The Weather Program Office is proud to announce the FY24 Awards for the FY24 Notice of Funding Opportunity competition (NOFO).

WPO competitively funds research from across the Weather Enterprise (government, academia, and the private sector) to improve weather observation and prediction. In FY24, WPO solicited research proposals to improve fire weather observations and forecasts and advance NOAA’s operational subseasonal to seasonal (S2S) prediction capabilities. The two grant competitions from the FY24 NOFO are valued at approximately $1.

87 million per year. This year, WPO selected six projects from these two programs: More information about each program’s newly funded projects is below. Developing a Coupled Wildfire-Weather Unified Forecast System to Improve Fire Prediction For predictions of wildfire and smoke by enhancing data assimilation and advancing modeling and forecasting techniques .

See the FY24 Funded Projects > FY24 Funded Projects By the Numbers More Research to Fill Gaps in Forecasting In Fiscal Year 2024, the Weather Program Office funded six new projects aimed at critical forecast improvements for weather. Each of the two competitions focused on their areas of expertise to fill identified gaps in weather research and transition weather applications into operations. 2 New Funding Competitions $3.

74 Million to Advance Fire Weather and Subseasonal to Seasonal (S2S) Forecasting Capabilities Advancing Subseasonal to Seasonal (S2S) Forecasting Capabilities Through Improved Precipitation Outlooks and Data Assimilation Improve operational climate outlooks and advance NOAA’s subseasonal to seasonal prediction (S2S) capabilities via improved precipitation outlooks.

See the FY24 Funded Projects > FY24 Notice of Funding Announcement FY24 Notice of Funding Documentation Click on the image to see the NOFO at-a-glance, or view the details of the competition by accessing the original announcement at Grants. Gov. Fiscal Year 2024 Full Award List Development and Evaluation of the Warn-on-Forecast System for Smoke (WoFS-Smoke) Thomas A.

Jones (PI), Patrick Skinner, Joshua Martin, Brian Matilla Towards Improved Representations of Wildfire-ABL Interactions in the UFS Modeling Suite: Parameterization Development, Emissions Modeling, and Air Quality Impact Assessment Khaled Ghannam (PI), Daniel Tong Northeastern University, George Mason University Improving the Aerosol Representation and Coupling to Microphysics in the 3-km Storm-Scale Rapid Refresh Forecast System (RRFS) Cooperative Institute for Research in Environmental Sciences (CIRES)/University of Colorado Boulder (UCB), NOAA Global Systems Laboratory (GSL) Advancing S2S Precipitation Outlooks through the Weather Regime-Gaussian Mixture Model Framework Wei Zhang (PI), Cory Baggett Utah State University, NOAA/NWS/Climate Prediction Center (CPC) Improving Global Ocean Reanalysis (Glore) to Advance Cpc Ocean Monitoring and Sea Ice Outlook Bohua Huang (PI), Jieshun Zhu, Wanqiu Wang George Mason University, NOAA/NWS/Climate Prediction Center (CPC) Improving Week 3-4 Precipitation Forecasts by Leveraging Forecasts-Of-Opportunity Identified via Explainable Machine Learning Marybeth Arcodia (PI), Elizabeth Barnes, Dan Collins, Emerson LaJoie Colorado State University, NOAA/NWS/Climate Prediction Center (CPC) Other Years’ Funded Projects Explore projects from the past two fiscal years at the links below.