Cooperative Agreement NA21OAR4590168

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...

The National Oceanic and Atmospheric Administration (NOAA) has awarded a $871,998 Cooperative Agreement through its Weather and Air Quality Research program (CFDA 11.459) to the University of Arizona. The project aims to improve the sub-seasonal to seasonal (S2S) precipitation predictability in the Southern Great Plains region by enhancing the representation of snow, soil moisture, and vegetation processes in the NOAA Unified Forecast System (UFS) and its land model, NOAH-MP. Key expected...

The University Corporation for Atmospheric Research (UCAR) was awarded a $189,974 Cooperative Agreement under the National Oceanic and Atmospheric Administration's (NOAA) Climate and Atmospheric Research program (CFDA 11.431) to develop a process-oriented diagnostic framework to evaluate drought and fire hazard uncertainty in climate models. The project aims to enhance NOAA's Model Analysis and Prediction Panel (MAPP) software package by implementing diagnostics for the Standardized Vapor...

This three-year, $405,234 Project Grant from the National Oceanic and Atmospheric Administration will fund research at the University of Colorado Boulder to develop initialization strategies for the Unified Forecast System coupled atmosphere-ocean numerical forecast model. The goal is to improve probabilistic skill scores for subseasonal-to-seasonal forecasts of 2-8 weeks by ensuring initial ensemble perturbations project onto oscillating eigenfunctions of the Koopman and Perron-Frobenius...

This Cooperative Agreement award from the National Oceanic and Atmospheric Administration (NOAA) under the Climate and Atmospheric Research program (CFDA 11.431) will provide $154,138 to Duke University to evaluate and improve the modeling of sub-grid space-time patterns of land surface temperature within the GFDL land model. The key objectives are to: 1) leverage satellite remote sensing data to assemble a global dataset of observed space-time patterns of land surface temperature; 2)...

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...

This Project Grant award of $700,000 from the National Science Foundation's Geosciences Program (CFDA 47.050) is focused on improving computational models that describe the relationship between climate and streamflow. The project aims to address uncertainty in these models caused by the influence of human actions on the water cycle, with a specific focus on representing the impacts of dams, which control about 75% of annual runoff in the continental United States. The project will develop a...

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...