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This project will integrate DeepCTM, an advanced machine-learning model that emulates traditional chemical transport models (CTMs), into NOAA’s operational National Air Quality Forecast Capability (NAQFC). The goal is to improve the speed, accuracy, and resolution of air quality forecasts at both national and global scales. Additionally, the model generates sensitivity information that helps adjust key…
The Unified Forecast System (UFS) community, in partnership with the Earth Prediction Innovation Center (EPIC), has announced a new capability in the UFS Short-Range Weather App (UFS-SRW) that includes the UFS-Air Quality Model (UFS-AQM) community version. The community version includes most of the features planned for the next operational implementation, UFS-AQM version 8. Click here for comprehensive information about…
The Evaporative Demand Drought Index, or EDDI, transitioned from NOAA’s Physical Sciences Laboratory (PSL) into operational use at the Climate Prediction Center (CPC) in FY25. This new tool for drought prediction received support from JTTI in its FY22 internal funding competition. EDDI was initially an external research project from our office’s FY16 funding competition, intended…
InPRHA’s most recent webinar, “The Precipitation Prediction Grand Challenge,” was held on February 11, 2026. Its featured speaker was Dr. David Novak, director of the United States’ NOAA Weather Prediction Center. You can view the recording below. We will share more information about the next webinar soon. Visit this page if you would like to…
The next session of the InPRHA Webinar Series under the WMO World Weather Research Programme will be held on 11 February 2026. Dr. David Novak, Director of the United States’ NOAA Weather Prediction Center, will present on “The Precipitation Prediction Grand Challenge.” Date & Time 11 February 2026 15:00–16:00 UTC Registration Please register in advance…
The S2S Program is co-hosting a workshop with NSF NCAR on August 4–6, 2026. This meeting is a follow-on to the 2025 summer workshop and will focus on the role of land–atmosphere interactions in predictability at subseasonal-to-seasonal (S2S) timescales (here defined as two weeks to three months). Visit this page for more information. Further details…
NOAA testbeds bring mature research into an operations-like environment, allowing forecasters and researchers to test and demonstrate products in real-world conditions to fine-tune tools and methods for operational use. The FY25 NOFO supported five testbeds: Climate, Fire Weather, Hazardous Weather, Hurricane and Ocean, and Hydrometeorological. The priorities for each were: Project Title Principal Investigators Project…
The Synoptic Program focused on air quality research and forecasting in its FY25 NOFO. It prioritized the following capabilities: Project Title Principal Investigators Project Description Implement the DeepCTM to Enhance the Performance of the National Air Quality Forecast Capability Jia Xing, University of TennesseeYouhua Tang, George Mason University Integrate DeepCTM — a cutting-edge machine-learning model…
The Observations Program had four main priorities in its FY25 NOFO. It sought projects to develop and demonstrate the following: Project Title Principal Investigators Project Description Hazard Focus Stepped Frequency Microwave Radiometer (SMFR) Calibration and Re-Calibration Tool Zorana Jelenak, University Corporation for Atmospheric Research/Cooperative Programs for the Advancement of Earth System Science (UCAR/CPAESS) SFMR units…
Saving lives and protecting property requires that people not only receive accurate weather information in a timely manner, but that they also take protective actions with that information. Effectively addressing societal impacts from hazards like hurricanes, floods, winter storms, tornadoes, and wildfire, requires coupling advances in weather prediction and forecasting with understanding how the American…
