Climate change mitigation scenarios that meet the Paris Agreement's objective of limiting
global warming usually assume an important role for carbon dioxide removal and negative …

Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

Abstract The Paris Agreement aims to limit global mean warming in the twenty-first century to
less than 2 degrees Celsius above preindustrial levels, and to promote further efforts to limit …

In recent decades, the world has witnessed a remarkable surge in urban expansion, leading
to profound consequences for the global climate, biodiversity, and ecological environment …

How do climate risk beliefs affect coastal housing markets? This paper provides theoretical
and empirical evidence. First, we build a dynamic housing market model and show that …

Tropical cyclones (TCs) are drivers of extreme rainfall and surge, but the current and future
TC rainfall–surge joint hazard has not been well quantified. Using a physics-based …

Over the past decades, the scientific community has made significant efforts to simulate
flooding conditions using a variety of complex physically based models. Despite all …

Most estimates of global mean sea-level rise this century fall below 2 m. This quantity is
comparable to the positive vertical bias of the principle digital elevation model (DEM) used …

Two tropical cyclones (TCs) that make landfall close together can induce sequential hazards
to coastal areas. Here we investigate the change in sequential TC hazards in the historical …

One of the most destructive natural hazards, tropical cyclone (TC)–induced coastal flooding,
will worsen under climate change. Here we conduct climatology–hydrodynamic modeling to …