This $644,460 project grant awarded by the National Science Foundation's (NSF) Division of Atmospheric and Geospace Sciences (CFDA 47.050 - Geosciences) to the University of Hawaii at Manoa aims to advance scientific understanding and predictability of coastal El Niño events and their implications for the El Niño-Southern Oscillation (ENSO) phenomenon.
The key products and services to be delivered under this 3-year award include:
- Exploring the underlying dynamics of coastal El Niño events, their relationship to basin-wide El Niño events, and their predictability at multi-month lead times
- Developing a machine learning (ML) model to identify the critical regions and variables that contribute to forecasting coastal El Niño events
- Conducting Earth system model simulations to elucidate the dynamical mechanisms through which the ML-derived predictors influence coastal sea surface temperatures
- Providing training and support for a graduate student
- Creating an online educational platform for users to explore the sensitivity of coastal events to various forecast inputs
- Developing ML-based predictions for local precipitation impacts in the affected regions
- Conducting outreach through the school's open house events
The project aims to advance scientific understanding of ENSO diversity and improve the predictability of these high-impact coastal events, which have significant societal implications for the countries of South America.
Generated 1/28/25, 8:57 AM