A new study published in Nature Communications utilizes insights gleaned from DRI’s Mountain Rain or Snow project to evaluate why traditional weather forecasting struggles to identify the rain/snow transition line. The research was possible because thousands of community members across the U.S. contributed more than 40 thousand observations of the type of precipitation falling at their location.
DRI scientists Guo Yu, Meghan Collins, Monica Arienzo, and Anne Heggli co-authored a new study that examines how Mountain Rain or Snow is helping improve weather forecasting models. The citizen science project collects observations of precipitation from community volunteers across the country to further scientific understanding of the environmental variables impacting where precipitation falls as either rain or snow. This information is critical for informing avalanche forecasting, road safety, and water resources management.
Guo Yu, assistant research professor of hydrometeorology, along with collaborator Luke McGuire from the University of Arizona, received a three-year grant from the USGS Water Resources Research Act Program. The funding will be used to expand his work examining how repeated wildfires impact flooding risk in communities.
A new study in Science Advances finds that compounding effects of flood drivers can complicate and exacerbate the risk of extreme floods in watersheds around the world. DRI’s Guo Yu, Ph.D., assistant research professor of hydrometeorology, co-authored the research.
A conversation with Guo Yu and Jeremy Giovando about their new research examining post-fire flood frequency. The study expands on previous frameworks to account for the compounding impacts of repeated wildfires on flood risk, using a southern California watershed as a case study.
Scientists examined multiple fire danger indices for the contiguous U.S. to assess the impact of climate change on future wildfire risk and seasonality.
Researchers found that urbanization and climate change are changing the strength and seasonality of flooding in the Las Vegas region.
In a new study, Guo Yu, Ph.D., examined the most common drivers (rainfall, snowmelt, and rain-on-snow events) of historic floods and investigated the impact of different flood types on the resulting flood frequencies.