Project Grant 2324092
- Federal Grant Award Summary The National Science Foundation's Office of Integrative Activities awarded the University of Florida a $353,178 Project Grant (CFDA 47.050, Geosciences) effective October 1, 2025, through September 30, 2028, to develop a next-generation generative downscaling framework for geoscience data. This collaborative research initiative combines diffusion-based generative models with physical constraints and probabilistic uncertainty quantification to produce...
- This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant award in the amount of $317,272 will fund the development of new computational methods to simulate and advance the understanding of the dynamic interplay between the Earth's surface and interior processes. The principal awardee, the University of Colorado, will couple two widely used community codes - ASPECT (originally for simulating mantle dynamics) and LANDLAB (for modeling surface processes) - to enable...
- This $221,255 National Science Foundation Project Grant under the Geosciences program (CFDA 47.050) will fund research to better understand spatial variability in sea level change during the last interglacial period approximately 120,000 years ago. The grantee will develop high-resolution global models of mantle flow to predict dynamic topography change across the greater Caribbean region over this timeframe. They will also compile a comprehensive dataset of interglacial sea level indicators...
- This $732,120 Project Grant from the National Science Foundation Division of Earth Sciences will fund research into the effects of three-dimensional and non-Newtonian mantle viscosity on relative sea-level changes and deglaciation history since the Last Glacial Maximum approximately 26,000 years ago. The University of Colorado will deliver three key products under this award. First, the research team will further develop their open-source computational modeling package CITCOMSVE to more...
- Georgia Tech Research Corporation was awarded a $780,880 Project Grant from the National Science Foundation Division of Polar Programs under the Polar Programs federal grant program (CFDA 47.078) to develop computational methods for assimilating observational data into ice sheet models. The award period is from January 1, 2024 through December 31, 2028. Under this award, Georgia Tech Research Corporation will create an open-source software package applying transient ensemble Kalman filtering...
- This $300,000 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) to the University of Florida (UF) aims to develop an integrated GeoAI toolset for identifying locations and drivers of pond collapse in coastal salt marshes using high-resolution remote sensing imagery. The main goals are to build a high-resolution marsh feature database, enable detection of pond collapse, support new geomorphology research, provide a weakly supervised learning framework...
- The National Science Foundation (NSF), under the Geosciences program (CFDA 47.050), awarded a $492,989 Project Grant to the Regents of the University of Colorado, operating through its Office of Contracts and Grants, to develop QGreenland-Net - a cloud-based geospatial data infrastructure for Greenland-focused research and education. This 3-year grant will build capacity for open data sharing, shared data services, and consistent standards across U.S., Greenland, and Denmark-based data producers...
- This National Science Foundation (NSF) Geosciences program Project Grant award, CFDA 47.050, totaling $344,941, will fund the development of open, reproducible computational workflows and learning materials through the "Collaborative Research: GEO OSE Track 2: Project Pythia and Pangeo" project. The project aims to reduce barriers to geoscience research and education by building an inclusive community around shareable, reproducible computational workflows. The grantee, Code for Science...
- This National Science Foundation (NSF) Integrative Activities (CFDA 47.083) project grant, valued at $286,102, will fund research at the University of North Dakota (UND) to develop advanced ice flow modeling capabilities using graphics processing units (GPUs). The goal is to better assess the Antarctic ice sheet's contribution to sea level rise and its sensitivity to climate change uncertainties. Specifically, the principal investigator and a graduate student will investigate an accelerated,...
- Federal Grant Award Summary The University of Montana received a $600,397 Project Grant from the National Science Foundation's Office of Integrative Activities under the Geosciences program (CFDA 47.050) for the period January 1, 2026 through December 31, 2028. This collaborative research initiative develops physics-informed machine learning models to improve predictions of ice sheet dynamics and sea level rise by combining artificial intelligence with existing physical understanding of ice...
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 deployed on scientific computing hubs and accompanied by online educational materials to facilitate its use by students, academics, and environmental researchers. The project will specifically leverage the existing GSTATSim Python software to develop a Markov Chain Monte Carlo approach for performing geophysical inversions, and apply it to case studies simulating sub-ice-shelf and subglacial topography using gravity observations and mass conservation constraints. These tools will help improve the rigor of ice-sheet and sea level rise models by providing critical parameters. The award period is from September 15, 2023 to August 31, 2025.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $253.9k | 7/31/23 |