news, journals and articles from all over the world.
Forecasting the water levels, temperatures, and currents of the Great Lakes is important because conditions on the lakes affect commerce, recreation, and community well-being. These forecasts comprise the Great Lakes Operational Forecast System (GLOFS), an automated model-based prediction system operated by the National Oceanic and Atmospheric Administration (NOAA). Michigan Tech helps NOAA improve the GLOFS model.
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The role of AI in science is at a turning point, with weather, climate, and Earth systems modeling emerging as an exciting application area for physics-informed deep learning. In this Q&A, NERSC’s Karthik Kashinath discusses what is driving the scientific community to embrace these new methodologies.
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In the last several decades, more than half of the deaths associated with tropical cyclones in the U.S. were due to inland flooding. Unfortunately, current forecasting capabilities are limited. Researchers are developing a warning system for more accurate and timely detection and forecasting of inland and coastal floods, under a variety of precipitation regimes. The technology will enable local and state governments to more effectively plan and respond to tropical storms.
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In a new study, researchers at the University at Albany have turned to more than a century’s worth of data (from 1901 to 2012) in NOAA’s International Tree Ring Data Bank to both analyze historical tree growth at 3,579 forests around the world and create a model for future projections (from 2045 to 2060).
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Observational data of equatorial circulation pattern confirms that the pattern is weakening, a development with important consequences for future rainfall
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