This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $596,821 to the University of Washington to develop new mathematical models and simulation tools for studying the calving of icebergs from glaciers. The project aims to improve predictions of sea-level rise by advancing the understanding of glacier terminus evolution and iceberg calving, which is a critical but poorly modeled aspect of...
This $346,823 Project Grant award from the National Science Foundation (NSF) Division of Polar Programs, CFDA 47.078, supports research to advance understanding of meltwater flow through glacial firn on the Juneau Icefield in Alaska. The research team at the University of Colorado will: (1) measure changes in surface melt and firn properties critical to firn hydrology, and (2) apply novel water-isotope stratigraphy techniques to determine timing and variability of meltwater infiltration. This...
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...
This $1,263,530 National Science Foundation award through the Mathematical and Physical Sciences program (CFDA 47.049) will fund research into the dynamics of melting ice. New York University will investigate ice melting through laboratory experiments, numerical simulations, mathematical modeling, and analysis. Researchers will study melting in idealized settings and increasingly complex situations involving changing geometry, temperature, and salinity. Experiments will precisely measure...
This $325,213 Project Grant awarded by the National Science Foundation's (NSF) Division of Polar Programs (CFDA 47.078) to The Trustees of Columbia University in the City of New York will investigate the role of meltwater in governing the geophysical properties of deforming icy systems. The project aims to create new flow laws that explicitly incorporate the effects of meltwater on ice flow, which is a key factor in modeling glacial mass loss and sea level rise. The research will employ...
Oregon State University was awarded a $388,716 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant supports the development of robust computational models and their mathematical analyses for coupled phenomena in the Arctic environment. Graduate and undergraduate students will be trained in computational mathematics and contribute to interdisciplinary efforts, with a...
The National Science Foundation (NSF) awarded a $518,425 Project Grant under its Geosciences program (CFDA 47.050) to George Mason University (GMU) for the project "Collaborative Research: CAIG: Physics Informed Graph Neural Network-Based Snow Water Equivalent Forecasting." The project aims to revolutionize snow water equivalent (SWE) prediction by integrating physics-informed artificial intelligence techniques to improve water resource management, especially in the western United...
The National Science Foundation (NSF) awarded a $253,946 Project Grant to the University of Florida (UF) under the Geosciences program (CFDA 47.050) to enhance the accessibility of novel geostatistical inversion workflows for cryosphere research. The project aims to create freely available geostatistics software with novel methods for combining physical and statistical information to enable fast, scalable simulations that account for spatial and physical constraints. This software will be...
This $399,583 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research to develop numerical algorithms that can estimate solutions to partial differential equations (PDEs) without full boundary condition information. The research aims to enable improved modeling and forecasting capabilities across various applications, including meteorology, biology, and engineering design. The primary awardee, Texas...
This three-year Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) provides $454,673 to the California Institute of Technology to advance understanding of meltwater transport through snowpack. The award will support numerical modeling and controlled laboratory experiments to gain new insights into how meltwater percolates and interacts with snow's porous structure under varying environmental conditions. This combined computational and experimental effort...