The El Niño Southern Oscillation (ENSO) is a principal component of global climate variability known to influence a host of social and economic outcomes, but its systematic effects on human health remain poorly understood.

This study provides a globally comprehensive, detailed understanding of the impacts and behavioral adaptations caused by energy for cooling and heating, offering critical insights for policymakers, energy systems planners, business leaders, and a range of stakeholders who are preparing to mitigate and adapt to a more unstable climate. It is a core input to the Climate Impact Lab's Data-driven Spatial Climate Impact Model (DSCIM).

Approximately $8.1 billion of Hurricane Sandy’s damages are attributable to climate-mediated anthropogenic sea level rise, as is extension of the flood area to affect 71,000 additional people.

We develop an emulator for dynamic sea level changes that is, built upon a two‐layer energy balance model. The emulator facilitates the estimation of future local sea‐level changes.

This study develops a method to estimate past, present, and future flood risk for all properties in the conterminous United States whether affected by river, coastal or rainfall flooding.