This study showcases how data from New York’s severe weather detection network is used to develop an improved method for the detection and monitoring of freezing rain and ice storms.
The study focuses on investigating the controlling factors of urban heat in Bengaluru, India and showcases multiple methods of urban heat analysis.
Better representation of mountain range heights could help reduce biases in how global climate models simulate important atmospheric and climate processes.
Recent research showcases how machine learning methods can help reduce errors in tropical cyclone intensity forecasts to prevent damages and loss of life.
This COM-funded study developed an improved paelo-temperature reconstruction dataset for the Northern Hemisphere using tree ring proxy data.
Americans’ health, security and economic wellbeing are tied to climate and weather. Every day, we see communities grappling with environmental challenges due to unusual or extreme events related to climate and weather.
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