A new study corrects poor-performing satellite-based rainfall estimates with gauge data and also fills gauge data gaps using well-performing satellite-based rainfall estimates.
Precipitation data and high-resolution modeling suggest that extreme rainfall events under a changing climate will be shorter, more intense, and more widely spread out.
Both satellite observations and model simulations reveal that more aggregated convection amplifies the increase in extreme rainfall events on a year-to-year basis.
A new mechanism explains changes in the probability distribution of tropical rainfall, which is not expected to change uniformly in a warming climate.
A rare atmospheric phenomenon that transports large quantities of water vapor into the coastal watersheds of the western USA is responsible for up to 10–20% of intense snowmelt events in the region.
A new deep learning approach bridges ground rain gauge and radar data with spaceborne radar observations of Tropical Rainfall Measuring Mission to improve precipitation estimation.
A new case study investigates causes and effects of California’s 2017 wildfire season.
When calibrating satellite observations with ground-based ones, estimated precipitation rates are improved by considering that snow takes longer to fall compared to rain.
An increase in activity of hundreds of slow-moving landslides during extreme wet conditions in California provides insights into the landscape response to ongoing climate change.
A new analysis indicates that the frequency and magnitude of extreme precipitation events are expected to increase as Earth continues to warm.