The National Science Foundation (NSF) has awarded a $286,415 Project Grant to the University of North Carolina at Chapel Hill (UNC) under the Geosciences program (CFDA 47.050) to conduct collaborative research on the impacts of climate change on tropical glacierized volcanoes in the Andes of Ecuador. The overarching objective is to determine how glacier retreat on culturally and ecologically critical Andean volcanoes is triggering impacts on water supply, vegetation, land-use, and elemental...
This Project Grant award, funded by the National Science Foundation's Geosciences Program (CFDA 47.050), supports research to advance the understanding of extreme precipitation events and their impacts. The award of $870,213, effective from September 1, 2025 to August 31, 2030, will address three key questions: 1) how precipitation distribution depends on spatial and temporal scales, 2) the comparative roles of aerosol and greenhouse gas forcing in precipitation distribution, and 3) the impact...
The National Science Foundation (NSF) Division of Earth Sciences awarded a $198,753 project grant to Carnegie Mellon University under the Geosciences program (CFDA 47.050) to conduct interdisciplinary research on tropical glacierized volcanoes as sentinels of global change. The project aims to determine how climate change is driving glacier retreat on Andean volcanoes in the inner tropics, and how this is triggering impacts on water supply, vegetation, and elemental cycling in these ecologically...
This $397,337 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) supports research into the drivers and impacts of warm-season climate extremes in North America under a changing climate. The awardee, Northern Illinois University, will use high-resolution global climate modeling to examine how factors across various spatial scales influence extreme events like floods, heat waves and droughts. Researchers will simulate past and potential future warm seasons to...
This $198,435 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports a collaborative research project titled "P4CLIMATE--A Paleo Perspective on the Links Between Climate and Food Security." The project will quantitatively assess shifts in maize production in North America over the past 1,200 years by merging paleoclimate, weather generation, and crop modeling data. This research aims to understand the impacts of prolonged droughts,...
The Regents of the University of Minnesota received a $832,098 Project Grant award from the National Science Foundation (NSF) Division of Earth Sciences under the Geosciences program (CFDA 47.050) on September 15, 2023. The award will fund a 4-year collaborative research project to investigate the impacts of climate change-driven glacier retreat on Andean volcanoes in the inner tropics, including effects on water supply, vegetation, elemental cycling, and local indigenous Kichwa communities. The...
This National Science Foundation (NSF) Geosciences program Project Grant award of $381,865 to Colorado State University aims to understand how the predictability of severe weather events, such as tornadoes, hail, and flooding, may change as the climate warms. The research will generate and analyze large datasets of numerical weather model forecasts to assess how the ability to predict severe storms evolves in recent (20th century) versus future (21st century) climate scenarios. This work could...
This federal Project Grant award from the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences) will support research to develop statistical and machine learning methods for studying weather and climate extremes. The $322,555 award, spanning from December 1, 2024 to July 31, 2025, will fund one graduate student per year over the 3-year project. Key objectives include validating climate models, detecting changepoints in extreme weather and climate, and integrating...
This $202,000 Project Grant awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) supports the development of data-driven methods for predicting extreme weather events under climate change. The grant aims to create neural network models capable of capturing the statistics of extreme events, such as heat waves and droughts, in future climate projections. The work builds on previous research on modeling chaotic systems and addressing the spectral bias in neural networks....
This $256,252 National Science Foundation award under the Geosciences program (CFDA 47.050) will fund research by the Aspen Global Change Institute to estimate the emergence of anthropogenic warming signals in snow water resource metrics in mountainous regions. The three-year project grant will use an innovative modeling framework including a large ensemble climate model, statistical learning techniques, and process-based hydrological modeling to analyze uncertainty and attribute changes in...