Heat exposure presents a growing threat to human health and well-being, particularly for vulnerable populations. Here, we employ a human heat balance model - specifically the human/environmental adaptation and threshold limit model (HEAT-Lim) - to …
Machine learning models can represent climate processes that are nonlocal in horizontal space, height, and time, often by combining information across these dimensions in highly nonlinear ways. While this can improve predictive skill, it makes …
Observations of sea surface temperature reveal a region of relative cooling in the subpolar North Atlantic commonly known as the North Atlantic warming hole (NAWH) or “cold blob.” While the origin of the NAWH has been extensively debated, its direct …
Bridging Science and Practice to En(in)sure Resilience in a Changing Climate
This dataset produces a tropical cyclone risk (e.g. asset loss) model for the Philippines based on open-source data, geared at supporting nonprofit applications. This model is appropriate for estimating return levels of tropical cyclone wind speeds …