Project Grant 2513025
- This $252,059 Project Grant award from the National Science Foundation's Geosciences program (CFDA 47.050) aims to develop a machine learning-based "emulator" that can efficiently predict water isotope patterns in fully-coupled global climate models. The goal is to build a powerful tool that can enhance climate science, hydrology, and understanding of the Earth's past and future climate by leveraging water isotope data. The University Corporation for Atmospheric Research (UCAR),...
- This $461,045 federal Project Grant was awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) to William Marsh Rice University in Houston, Texas. The grant aims to develop the Isotope-Enabled Community Earth System Model (ICESM), an innovative Earth system model that simulates stable water isotopes to provide new insights into atmospheric dynamics, plant-water interactions, ecosystem hydrology, and changes to ice sheets and glaciers. The project will leverage diverse...
- This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant award of $319,907 to the University of Maryland, College Park aims to build a machine-learning-based "emulator" that can efficiently predict water isotope patterns in climate models. The three-year project, starting November 1, 2025, seeks to develop a smart shortcut to incorporate water isotopes, which act as natural recorders of climate history, into complex climate simulations. This...
- This $383,203 federal Project Grant awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) aims to develop a machine learning-based "emulator" that can efficiently predict water isotope patterns from climate model variables. The University of Pittsburgh is the primary awardee on this 3-year collaborative research project, working with partners to leverage isotope-enabled global climate model simulations. The goal is to create a smart shortcut that can rapidly...
- This National Science Foundation (NSF) project grant award under the Geosciences program (CFDA 47.050) provides $275,030 to The Regents of the University of Colorado (CU) from September 1, 2024 to August 31, 2027 to develop the "Isoverse" - a suite of open-source data tools for efficient, transparent, and reproducible processing of stable isotope data. The Isoverse project aims to create a comprehensive computational ecosystem to support researchers in overcoming obstacles in stable...
- This three-year, $511,918 project grant from the National Science Foundation's Geosciences program (CFDA 47.050) funds research to develop a new framework for advancing climate model representations of cloud and convective processes. The grantee, Columbia University, will conduct fully-coupled, isotope-enabled climate simulations for the Last Glacial Maximum, Mid-Holocene, and Pre-Industrial periods using an ensemble of cloud and convective parameter sets. Paleoclimate data assimilation will...
- This $2,646,047 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is developing a national integrated watershed evaluation framework to improve water resource management. The framework will bring together diverse hydrologic datasets and provide tools for advanced model evaluation and exploration of watershed conditions. The project, led by Princeton University, will engage a diverse community...
- This $241,000 Project Grant awarded by the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) will provide a Picarro L2140-I isotopic water analyzer to Grand Valley State University (GVSU) for interdisciplinary research on hydroclimate, water cycling, and ecosystem interactions. The instrument will enable GVSU researchers and students to precisely measure variations in water isotopes to study climate change impacts, freshwater ecosystem health, and groundwater...
- The National Science Foundation (NSF) awarded a $341,501 Project Grant under the Geosciences program (CFDA 47.050) to the Trustees of Indiana University to develop a new framework for identifying plant water sources using stable isotope analysis. The research aims to improve the reliability and standardization of isotope-based methods for understanding plant-water interactions and ecosystem processes. Key objectives include clarifying the causes of hydrogen isotope offsets observed between...
- This $398,984 Project Grant award, provided by the National Science Foundation's Geosciences Program (CFDA 47.050), supports research to quantify the biophysical, physiological, and phenological impacts of increasing carbon dioxide (CO2) levels on vegetation and their effects on future climate change. The research utilizes the Community Earth System Model to examine the direct impacts of CO2 fertilization and stomatal closure, as well as the indirect effects of a longer growing season, on...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $1,276,110 to the University Corporation for Atmospheric Research (UCAR) to develop the Isotope-Enabled Community Earth System Model (ICESM). The project aims to improve modeling of the water cycle and enable new scientific insights across atmospheric dynamics, hydrology, and climate change research. Key objectives include leveraging stable water isotope data, implementing advanced software practices, and providing training resources to support collaborative Earth system research. The project will be executed over 5 years, with a start date of Sep 1, 2025 and a completion date of Aug 31, 2030. The award will enable UCAR, a federally funded research and development center, to deliver an innovative Earth system model and enhance scientific understanding of critical water-related processes and changes.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.3m | 7/30/25 |