Soiling-related losses are among the most serious threats to PV performance, according to Tomas Cebecauer and Vicente ...

Hydrological models represent water movement in natural systems, and they are important for water resource planning and ...

NASA’s SEaRCH project uses smartphone reports from volunteers to track hail size and storm patterns, combining community observations with satellite data to improve precipitation research.

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

With so much data stored on ephemeral mediums like hard drives and magnetic tape, what will remain of our civilization in the millennia to come? Thanks to an innovation from Microsoft researchers, the ...

Multiple reports show the data centers used to store, train and operate AI models use significant amounts of energy and water, with a rippling impact on the environment and public health. According to ...

This coverage is made possible through a partnership between Grist and Interlochen Public Radio in northern Michigan. Michigan researchers have gone back in time to get a picture of how ice cover on ...

Data center operators and utilities often do not disclose facility-specific energy and water usage data. The Republic built a database to estimate data centers' energy capacity by analyzing air ...

AMERICAN SCIENTISTS have historically been leaders in the collection and analysis of data on climate change. The longest-running observations of carbon-dioxide concentrations in the atmosphere, for ...

Attribution researches the influence of climate change on local weather and impacts. Attribution Resources Real-time tools, visuals, and other resources to quantify the role of climate change in ...

Asli Sezen-Barrie, an endowed chair of climate and environmental education and an associate professor at the School of Education at UC Irvine, is one of TEACH-AI’s creators. Credit: Courtesy of Asli ...