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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….
The study focuses on investigating the controlling factors of urban heat in Bengaluru, India and showcases multiple methods of urban heat analysis….
Recent research showcases how machine learning methods can help reduce errors in tropical cyclone intensity forecasts to prevent damages and loss of life….
The Subseasonal to Seasonal (S2S) Prediction Task Force helped advance NOAA’s and the nation’s capability to model and predict sources of predictability between weather and…
This COM-funded study developed an improved paelo-temperature reconstruction dataset for the Northern Hemisphere using tree ring proxy data….
A recent study bridges observations and modeling, and shows a way to make improvements to the observational instruments climate scientists rely on to study global…
While drought is commonly defined by precipitation and runoff deficits, the study challenges this understanding by proposing a new definition: anthropogenic drought. Within human‐water systems,…
“There has always been natural variability in drought events around the world, but our research shows the clear human influence on drying, specifically from anthropogenic…
Nearly 300 participants tuned in to learn more about the potential atmospheric composition capabilities from a NOAA geo-satellite system….