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Forecasting diseases using Wikipedia

A team from Los Alamos National Laboratory successfully monitored and forecasted influenza, dengue fever, and tuberculosis outbreaks worldwide. The study demonstrates the potential of using public health data to build an operational disease monitoring system.

SourcePLOS·JournalPLOS Computational Biology·DateNov 13, 2014

Getting hot and wet in Vermont

A new study by University of Vermont scientists predicts increased precipitation and temperature in the Lake Champlain region, leading to more extreme weather events and potential flooding. The forecast suggests a rise in average temperatures by mid-century, with some ski resorts experiencing a 50% decline in annual snowfall.

SourceUniversity of Vermont·JournalJournal of Applied Meteorology and Climatology·DateSep 12, 2014

K computer runs largest ever ensemble simulation of global weather

Researchers successfully ran 10,240 parallel simulations of global weather using Japan's K computer, achieving a significant improvement in forecasting accuracy. The study found that faraway observations can have an immediate impact on weather forecasts, highlighting the need for advanced methods to utilize this data.

SourceRIKEN·JournalGeophysical Research Letters·DateJul 23, 2014

Skunk fire in Arizona

The Skunk Fire in Arizona has grown to over 10,000 acres, driven by extremely dry fuels and low relative humidity. The fire is currently 20% contained and continues to spread to the north, with conditions making it difficult for firefighters to access the area.

UI researchers evaluate best weather forecasting models

UI researchers assessed global numerical weather prediction models' performance in predicting severe flooding in Boulder, Colo. in September 2013. The study found that while models generally performed well, there is room for improvement in capturing persistent rainfall and accurately forecasting flood events.

SourceUniversity of Iowa·JournalGeophysical Research Letters·DateFeb 6, 2014