Meteo Colloquium
Tropical Deep Convection and Global Warming: What Do We Know?
Upcoming Events
Meteo Colloquium
TBD
Hussey Lecture in Meteorology
TBD
Meteo Colloquium
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Thesis Defense Event
"Using EUREC4A Field Campaign Data to Improve Shallow Cumulus Regimes in the Community Atmosphere Model"
Thesis Defense Event
"Statistical Downscaling for Climate Change Impacts in the Midwest US and West Africa"
Meteo Colloquium
TBD
Thesis Defense Event
"A Climatology of Convective Precipitation over Europe"
News
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posted on
Mar 10, 2023 10:25 AM
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posted on
Mar 10, 2023 10:24 AM
Penn State has established a publicly available, environmental monitoring network to provide enhanced surveillance of atmospheric and soil conditions across Pennsylvania.
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posted on
Mar 10, 2023 09:05 AM
The American Association for the Advancement of Science is the world's largest general scientific society
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posted on
Feb 06, 2023 09:18 AM
“The challenges we are facing are really immense,” a keynote speaker on Monday warned.
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posted on
Dec 07, 2022 05:17 PM
Weak electrical discharges, called corona, can form on tree leaves during thunderstorms
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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