Project Grant 2524545
- This $259,328 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) supports research at Tulane University to develop novel methods for real-time streamflow estimation and forecasting. The University will integrate direct measurements with numerical models to more accurately capture short-term flood wave propagation effects and seasonal impacts of riparian vegetation changes. Researchers will combine experimental, data-driven, and physics-based modeling to enable...
- This Project Grant award from the National Science Foundation (CFDA 47.050 - Geosciences) provides $199,996 to the Woods Hole Oceanographic Institution to assess the abundance and extinction risk of two rare coral species using artificial intelligence (AI)-powered autonomous underwater vehicles (AUVs). The project will train AUVs equipped with AI to locate and quantify these corals, which are declining globally but occur at such low population densities that human divers cannot adequately...
- The National Science Foundation awarded a $252,096 Project Grant to the University of Texas at Austin under the Geosciences program (CFDA 47.050) to conduct research quantifying energy fluxes on coral reefs from July 1, 2022 to June 30, 2024. The research will combine emerging technologies to examine how characteristics of small coral reef patches such as temperature, wave energy, architecture, and cryptic species assemblages shape reliance on different organisms to sustain larger reef fishes....
- The Coral Reef Research Foundation was awarded a $300,996 Project Grant from the National Science Foundation Division of Ocean Sciences under the Biological Sciences (CFDA 47.074) federal grant program. The award, made on June 1, 2021 for a period of performance through May 31, 2022, will support the acquisition of a SMALL AERIAL BATHYMETRIC/TOPOGRAPHIC LIDAR SYSTEM FOR TROPICAL MARINE AND TERRESTRIAL RESEARCH. This system will allow the Foundation to conduct remote sensing research of coral...
- This National Science Foundation (NSF) Project Grant award under the Geosciences program (CFDA 47.050) provides $118,725 to Pacific Lutheran University (PLU) to develop a novel observing system that uses artificial intelligence (AI) to coordinate multiple autonomous underwater vehicles (AUVs). The system will be used to characterize the three-dimensional structure of tidally-driven coastal headland eddies, investigate the spatiotemporal variability of small-scale flow convergence within the...
- This $298,225 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports a collaborative research project at Southern Methodist University (SMU) to develop advanced AI-powered modeling capabilities for examining small-scale turbulence within the coupled air-sea boundary layers. The research aims to improve understanding of how surface waves and their resulting turbulent processes regulate the exchanges of mass, momentum, and energy between the...
- This $280,247 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will fund collaborative research by the Massachusetts Institute of Technology (MIT) to develop advanced, AI-powered modeling capabilities for small-scale turbulence within the coupled air-sea boundary layers. The research aims to improve understanding of how surface waves and resulting turbulent processes regulate the exchange of mass, momentum, and energy between the atmosphere and...
- This Project Grant award for $529,636 from the National Science Foundation's Geosciences Program (CFDA 47.050) will enable the University of Louisiana at Lafayette to develop innovative artificial intelligence methods to analyze hyperspectral satellite imagery and construct a large-scale database to better understand phytoplankton community dynamics in coastal waters. The key products and services to be delivered include: Establishing a comprehensive database of phytoplankton observations to...
- This Project Grant award, valued at $579,598.00, was provided by the National Science Foundation (NSF) Geosciences Program (CFDA 47.050) to the University of Texas at Dallas (UTD) to conduct collaborative research on multi-scale AI-powered modeling of small-scale turbulence within the coupled air-sea boundary layers. The key objectives of the project are to examine the coupling of wave-induced flow structures above and below the air-sea interface, and to develop a comprehensive...
- This $1,324,092 project grant, awarded by the National Science Foundation's Geosciences program (CFDA 47.050) to Florida International University (FIU), establishes the South Florida Coastal Environmental Data and Modeling Center. The center will focus on developing AI/ML techniques for understanding and predicting key processes affecting coastal environments in Southeast Florida, with an emphasis on addressing challenges like flood damage, sea-level rise, urban flooding, water quality, and...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) is focused on developing a process to model the hydrodynamic flow of coral reefs using observations obtained from Light Detection and Ranging (LiDAR) sensors mounted on unmanned aerial vehicles (UAVs). The primary objectives are to: (1) test whether sea level gradients and bathymetry derived from LiDAR data can effectively constrain hydrodynamic models, (2) develop an AI algorithm to derive hydrodynamic roughness from high-resolution bathymetric point clouds, and (3) evaluate the utility of modeling coral reef water flow using only remote sensing data. The $589,309 award was made to Tulane University, with a performance period from September 1, 2025 to August 31, 2028. If successful, this new approach would enable water-flow models to be readily developed and continually used following a single high-resolution LiDAR survey of a reef, advancing physical oceanography on reef systems and supporting broad-scale heat budget modeling.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $589.3k | 8/28/25 |