Climate Dynamics Seminar
"Understanding the impacts of climate change on forest ecosystem functions through the synthesis of geospatial and ecological big data"
Climate Dynamics Seminar
"Understanding the impacts of climate change on forest ecosystem functions through the synthesis of geospatial and ecological big data"
Climate Dynamics Seminar
TBA
Thesis Defense Event
"Investigation on the mechanisms for the North Atlantic cold blob in global climate models"
“The challenges we are facing are really immense,” a keynote speaker on Monday warned.
Weak electrical discharges, called corona, can form on tree leaves during thunderstorms
Sea–surface salinity levels in the Pacific and Atlantic oceans can presage heavy rains in the Midwestern United States.
The researchers are participating in the Prediction of Rainfall Extremes Campaign in the Pacific (PRECIP), a $6 million field campaign in Taiwan and Japan funded by the National Science Foundation to improve our understanding of the processes that produce extreme precipitation.
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.
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.
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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