DRI is leading the way in building regional climate resiliency through the California-Nevada Adaptation Program, which will prepare communities for local-level action to address climate hazards including extreme heat and wildfire smoke, water scarcity, and coastal flooding.
The Peter Wagner Memorial Endowment was established in 1981 by Sue Wagner, his wife and former longtime Nevada legislator and Lt. Governor, family, and friends. We thank Sue Wagner for establishing this endowment in Peter’s memory and their continued support.
DRI is pleased to announce that the 25th annual Peter B. Wagner Memorial Award for Women in Atmospheric Sciences has been awarded to Andrea Gordon of the University of Oklahoma. An award ceremony commemorating her achievement was held at the DRI campus in Reno on Sep. 21, 2023.
The Nevada State Legislature has unanimously passed a measure aimed at funding a statewide cloud seeding project. The appropriation of $1.2M over two years will be allocated to DRI for its multi-location cloud seeding research and operations.
The snow-inducing technique called cloud-seeding has been around for more than 60 years. Although not a panacea for drought-stricken regions, cloud-seeding can increase seasonal precipitation by about 10%. In the Reno area alone, winter cloud-seeding efforts are estimated to add enough water to supply about 40,000 households for a year.
DRI is grateful for the ongoing generous support by the William N. Pennington Foundation for DRI’s cloud seeding projects in Northern Nevada for the 2021 and 2022 winters.
In a new study, researchers take a closer look at some overlooked pollutants, known as non-tailpipe emissions.
Research Professor Jim Hudson, Ph.D., DRI’s longest-serving employee, recently retired from DRI after 51 years studying cloud physics.
The 24th annual Peter B. Wagner Memorial Award for Women in Atmospheric Sciences has been awarded to Lily Hahn.
A new study provides the first framework for a snowpack decision support tool that could help water managers prepare for potential flooding during rain-on-snow events, using hourly data from existing snow monitoring stations.