Project Grant 2221803
- This three-year Project Grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems totals $221,826 to support research at North Carolina State University aimed at improving nonstationary intensity-duration-frequency analysis of extreme precipitation. Specifically, the researchers will advance understanding of how the generating mechanisms of sub-daily and daily extreme precipitation may change in response to climate change. They will...
- The National Science Foundation awarded $712,190 to Arizona State University under the Geosciences program (CFDA 47.050) for the project "CAS-CLIMATE: A NOVEL PROCESS-DRIVEN METHOD FOR FLOOD FREQUENCY ANALYSIS BASED ON MIXED DISTRIBUTIONS." The award period is from August 15, 2022 to July 31, 2025. The project will develop a new approach to flood frequency analysis that incorporates the effects of multiple physical mechanisms leading to flood generation. Researchers will identify...
- The National Science Foundation (NSF) awarded a $175,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to Arizona State University to develop a geostatistical framework for modeling spatiotemporal extremes, such as heat waves, drought, and intense precipitation. The research aims to better understand the distributions of extreme weather events and develop statistical tools to model the associated spatial and temporal trends and uncertainties. The project will...
- This two-year Project Grant from the National Science Foundation Division of Atmospheric and Geospace Sciences provides $190,000 to leverage high-resolution modeling and dynamical theory to elucidate changes in extreme precipitation in a monsoonal regime. The funding will support basic research from October 2021 through September 2023 aimed at strengthening understanding of the integrated Earth system, as outlined in the Geosciences program (CFDA 47.050) of enhancing fundamental knowledge and...
- This $322,555 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program supports research to develop statistical and machine learning methods for studying the dynamics of weather and climate extremes. The three-year project, with a completion date of July 31, 2025, will focus on three key areas: climate model validation, changepoint estimation for extremes, and integration of multi-model climate ensembles. The research aims to enhance...
- This $1,389,411 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports the continuing research efforts of the Principal Investigator to understand the probability distribution of rainfall intensity and its relationship to climate change. The key objectives include: Explaining why increases in precipitation intensity in a warming climate exceed expectations based solely on increased water vapor content. Exploring how the suppression of convection due...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a 3-year, $150,000 Project Grant to The Regents of the University of Colorado (University of Colorado) to develop new statistical methods for analyzing extreme weather events such as heatwaves, droughts, and intense precipitation. The research, conducted under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), aims to better understand the spatiotemporal distributions and trends of these extreme...
- This $165,000 Project Grant award from the National Science Foundation (NSF) Engineering (CFDA 47.041) program supports the development of a novel adaptive data collection framework for automated post-disaster rapid damage assessment. The project at Arizona State University's Orspa division will create a Bayesian-based system that analyzes recent observations to dynamically update the trajectories of data collector agents toward areas with the greatest potential for information gain. This will...
- This $202,000 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to analyze precipitation variability and extreme rainfall events in Southern California. The project will combine tree-ring data, historical weather observations, and climate model simulations to reconstruct the range of precipitation variability over time in this region, with a focus on atmospheric rivers and extreme precipitation. The research goals include quantifying the...
- This $673,418 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) will fund research at North Carolina State University to improve understanding of monthly flood dynamics over the southeastern and south-central United States. Specifically, the university will quantify shifts in flood climatology, identify moisture delivery pathways for floods, and attribute sources of modulation for floods' spatiotemporal variability. Researchers will examine historical...
This $228,000 Project Grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems will fund research at Arizona State University from December 2022 through November 2025 aimed at improving nonstationary intensity-duration-frequency analysis of extreme precipitation. Specifically, the researchers will advance understanding of how the generating mechanisms of sub-daily and daily extreme precipitation may change in response to climate change. They will develop a novel physics-driven statistical framework incorporating this knowledge to inform improved nonstationary design curves for infrastructure resilience against flooding. The researchers will analyze rainfall, reanalysis and climate model data across the US to detect trends in extreme precipitation events and their generating mechanisms. Deep learning and other techniques will help attribute nonstationarity in precipitation statistics to physical causes. The results will inform a Bayesian statistical model to account for mixed precipitation populations in design, addressing limitations of current stationary approaches. This work falls under the National Science Foundation's Engineering grant program (CFDA 47.041), which supports innovation and excellence in engineering research and education.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $228.0k | 11/29/22 |