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"Improving Tropical Cyclone Forecasts from Formation to Maturity using Ensemble-Based Data Assimilation"
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posted on
Apr 07, 2022 11:11 AM
A recent study by an international team of scientists including Raymond Najjar, professor of oceanography at Penn State, found that the flows of carbon through the complex network of water bodies that connect land and ocean has often been overlooked and that ignoring these flows overestimates the carbon storage in terrestrial ecosystems and underestimates sedimentary and oceanic carbon storage.
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posted on
Feb 23, 2022 10:37 AM
Even from the Arctic Circle in Alaska, Penn State professor Jose Fuentes is inspiring his students to learn and grow
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posted on
Feb 08, 2022 01:35 PM
Penn State Meteorology and Atmospheric Science faculty including Yunji Zhang, Eugene Clothiaux, Steven Greybush, Xingchao Chen and others lead research initiated by the late Fuqing Zhang for more accurate storm rainfall and intensity forecasts.
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posted on
Feb 01, 2022 11:14 AM
While climate change is making much of the world warmer, temperatures in a subpolar region of the North Atlantic are getting cooler. A team of researchers report that changes in the wind pattern, among other factors, may be contributing to this “cold blob.”
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posted on
Oct 15, 2021 09:44 AM
The vast majority of plastic pollution that makes its way into the rivers of the Chesapeake Bay stays in and along local waters and is not, as researchers put it, “exported” to the ocean.
Spotlight
Research Spotlight
Photo: Microwave brightness temperature on top of visible reflectance for Hurricane Harvey before its landfall in Texas. Credit: Penn State . All Rights Reserved.
Yunji Zhang, Eugene Clothiaux, Steven Greybush, Xingchao Chen and others lead research initiated by the late Fuqing Zhang for more accurate storm rainfall and intensity forecasts.
Microwave data assimilation improves forecasts of hurricane intensity, rainfall
UNIVERSITY PARK, Pa. — In 2017, Hurricane Harvey stalled after making landfall over coastal Texas, pouring down record rainfall, flooding communities and becoming one of the wettest and most destructive storms in United States history. A new technique using readily available data reduces forecast errors and could improve track, intensity and rainfall forecasts for future storms like Hurricane Harvey, according to Penn State scientists.
“Our study indicates that avenues exist for producing more accurate forecasts for tropical cyclones using available yet underutilized data,” said Yunji Zhang, assistant research professor in the Department of Meteorology and Atmospheric Science at Penn State. “This could lead to better warnings and preparedness for tropical cyclone-associated hazards in the future.”
Read the full story on Penn State News >>
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