Research Topics
EXPLAINABLE & INTERPRETABLE MACHINE LEARNING
Our research uses explainable and science-guided machine learning to improve climate prediction, quantify uncertainty, and reveal new insights into the Earth system. By applying the right tools for the right problems, we aim to enhance real-time forecasting and deepen scientific understanding of climate variability and extremes.
analyticsvidhya.com
CLIMATE VARIABILITY AND PREDICTABILITY
Our research focuses on states of the climate system, known as forecast windows of opportunity, that are more predictable and lead to higher forecast skill. Sources of predictability typically come from modes of climate variability (e.g. MJO, ENSO, AMO) and we research sources of climate predictability from subseasonal (2 weeks - 2 months) through decadal timescales.
TROPICAL - EXTRATROPICAL TELECONNECTIONS
Teleconnections are large-scale pressure and circulation patterns internal to the climate system which connect the globe through atmospheric and oceanic waves. Our research primarily analyzes waves that travel from the tropics to the midlatitudes, and how their signals can affect conditions in North America, such as precipitation and temperature.
CLIMATE MODELING
We use a hierarchy of climate models to understand Earth system dynamics. Traditional models simulate the atmosphere, ocean, land, and ice using physical laws, while AI weather and climate emulators—trained on observational and model data—provide fast, flexible forecasts and long-term trends. Together, these complementary approaches help us accelerate discovery, improve predictions, and uncover new insights about our climate.
str.llnl.gov
climatecentral.org
CLIMATE RISKS TO COMMUNITIES AND ECOSYSTEMS
We study the growing risks of climate change, from sea level rise and coastal flooding to extreme heat and temperature thresholds that affect humans and ecosystems. By linking physical climate processes to local impacts, we seek to provide information that is understandable, actionable, and relevant for communities, policymakers, and the public. Our goal is to improve preparedness, resilience, and decision-making in a changing climate.
