This $428,965 Cooperative Agreement awarded by the National Oceanic and Atmospheric Administration (NOAA) under the Weather and Air Quality Research program (CFDA 11.459) aims to develop and test a method for improving subseasonal-to-seasonal (S2S) precipitation outlooks for the contiguous United States. The project, led by Utah State University, will apply a new weather regime-Gaussian mixture model (WR-GMM) framework to NOAA's Climate Prediction Center's dynamical forecast outputs to produce...
This federal Cooperative Agreement award from the National Oceanic and Atmospheric Administration (NOAA) under the Weather and Air Quality Research program (CFDA 11.459) provides $760,435.00 to Colorado State University to develop a real-time forecasting tool to improve week 3-4 precipitation forecasts for the United States. The key objectives of this 2-year project are to: 1) refine and extend prior methodology to quantify skill and evaluate predictability of week 3-4 U.S. precipitation...
This Cooperative Agreement award from the National Oceanic and Atmospheric Administration (NOAA) under the Weather and Air Quality Research program (CFDA 11.459) will enhance a machine learning-based excessive rainfall forecast system. The primary activities include: Improving and expanding historical datasets used to train and verify the model forecasts, as well as incorporating new geospatial predictors to enhance the characterization of atmospheric conditions and antecedent factors...
The National Oceanic and Atmospheric Administration (NOAA) awarded a $705,000 Cooperative Agreement under the Cooperative Institute (Inter-Agency Funded Activities) program (CFDA 11.405) to The Regents of the University of Colorado. The goal is to redesign the Weather Prediction Center's website to make precipitation forecasts and related information more accessible and user-friendly for the public. The project will leverage insights from a companion usability study to guide the website...
This Cooperative Agreement award from the National Oceanic and Atmospheric Administration (NOAA) under the Weather and Air Quality Research program (CFDA 11.459) will enhance a machine learning-based excessive rainfall forecast system. The $281,389 project, running from August 1, 2025 to July 31, 2028, aims to improve and extend the historical datasets used to train and verify the model forecasts, as well as the predictors that characterize the larger-scale atmospheric environment and antecedent...
This Cooperative Agreement award from the National Oceanic and Atmospheric Administration (NOAA), under the Cooperative Institute (Inter-Agency Funded Activities) program (CFDA 11.405), provides $248,337 to Colorado State University (CSU) to develop and test weather modeling capabilities to improve the estimation of Probable Maximum Precipitation (PMP) - the theoretical upper limit of extreme precipitation events. The key objectives are to: 1) Improve the initial weather model state through data...
This Cooperative Agreement, awarded by the National Oceanic and Atmospheric Administration (NOAA) under the Cooperative Institute (Inter-Agency Funded Activities) program (CFDA 11.405), focuses on improving estimates of Probable Maximum Precipitation (PMP), which are vital for dam safety, high-hazard infrastructure planning, and water resources management. The $357,554 award to the Cooperative Institute for Earth System Research and Data Science (CIESRDS) at the University of Colorado Boulder...
This $370,908 Cooperative Agreement awarded by the National Oceanic and Atmospheric Administration (NOAA) under the Weather and Air Quality Research Program (CFDA 11.459) will enhance a machine learning-based excessive rainfall forecast system at Colorado State University (CSU). The project aims to improve and extend the historical datasets used to train and verify the model forecasts, as well as the predictors that characterize the larger-scale atmospheric environment and antecedent...
This Cooperative Agreement award, funded by the U.S. Geological Survey under the Assistance to State Water Resources Research Institutes (CFDA 15.805) program, aims to improve flood prediction and risk assessment capabilities across the United States. The $165,000 project, running from January 16, 2025 to January 15, 2026, will be carried out by Purdue University. The research team will develop a new computer model that integrates river data, rainfall patterns, city drainage systems, and land...
The National Oceanic and Atmospheric Administration (NOAA) awarded a $250,001 Cooperative Agreement to the University of Alabama Office for Sponsored Programs Division under the Cooperative Institute (Inter-Agency Funded Activities) program (CFDA 11.405). The goal of this 15-month project is to develop a statistically downscaled, gridded dataset across the U.S. and its territories to quantify the impact of climate change on future extreme precipitation, including both daily and hourly data...
THE WEATHER PREDICTION CENTER (WPC) OF THE NATIONAL WEATHER SERVICE (NWS) PROVIDES A BROAD SUITE OF FORECAST INFORMATION, INCLUDING HYDRO-METEOROLOGICAL FORECAST PRODUCTS, AS WELL AS PRODUCTS FOR EXTREME TEMPERATURE, WINTER WEATHER AND GENERAL WEATHER INFORMATION. THESE PRODUCTS SERVE A WIDE CROSS-SECTION OF PROFESSIONAL USERS AS WELL AS NWS FORECASTERS AND OTHER INTERNAL USERS. EVOLVING FORECAST CAPACITY AND TECHNOLOGY, AS WELL AS USER FEEDBACK GLEANED THROUGH SOCIAL SCIENCE RESEARCH AND USER WORKSHOPS (HOGAN CARR ET AL, 2016; CLIMATE PROGRAM OFFICE 2020; NATIONAL CENTER FOR WEATHER AND CLIMATE PREDICTION 2020), HAS PROMPTED THE NEED FOR BETTER UNDERSTANDING OF USER NEEDS FOR PRECIPITATION FORECAST PRODUCTS, INCLUDING THE EXCESSIVE RAINFALL OUTLOOK, MESOSCALE PRECIPITATION DISCUSSION, THE QUANTITATIVE PRECIPITATION FORECAST (QPF) AND THE PROBABILISTIC QPF, AND THE EXTREME PRECIPITATION MONITOR. THE DEVELOPMENT OF A NEW DASHBOARD FOR URBAN RAIN RATE FORECASTING, WHICH PROVIDES REAL-TIM