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Reflecting a small fraction of incoming sunlight to reduce global heating is not a new idea. It is time to safely experiment ...

The Davis City Council is considering the Village Farms project, which has been met with opposition due to flood risk ...

Cloud seeding injects particles like silver iodide, salt, or dry ice into clouds to act as nuclei for droplet or ice formation. The idea is to accelerate natural precipitation, pushing clouds that are ...

This page contains theses and dissertations using datasets from UWKA facility deployments from 2005 to the present, and include the King Air, the Wyoming Cloud Radar, and/or Wyoming Cloud Lidar.

Abstract: Accurate precipitation nowcasting up to 2 h in advance is crucial for weather-sensitive decision-making, such as flood disaster warnings. Although deep learning-based radar echo ...

Chinese government scientists have released results from a weather modification experiment in Xinjiang, where a fleet of cloud-seeding drones boosted rainfall by over 4% across more than 3,089 square ...

Graduate students analyze cloud formation data with research scientist Jesse Anderson, using the Pi Cloud Chamber to study atmospheric processes. × Michigan Tech's Pi Cloud Chamber is giving ...

With rising temperatures, the atmosphere can hold more moisture, meaning precipitation has a tendency to fall at more extreme levels. By Christina Kelso The severe storm system that has inundated the ...

ABSTRACT: Conventional closed lab experiments using high-energy light sources and simple temperature sensors showed that CO2-filled bottles often became hotter than bottles containing air. From this, ...

Focuses on cloud seeding as a method to increase local rainfall. It highlights a research project conducted by the National Oceanic and Atmospheric Administration to evaluate the effectiveness of ...

Abstract: Precipitation nowcasting is pivotal for disaster prevention, urban planning, and various societal applications. Although deep learning-based radar echo extrapolation methods are widely ...