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New weather model could increase tornado-warning times

Researchers at Penn State have developed a new weather model that incorporates data from next-generation satellites to improve tornado forecasting. The model was able to forecast supercell thunderstorms with high accuracy and suggests that lead times for tornado warnings can be extended beyond 30 minutes.

SourcePenn State·JournalMonthly Weather Review·DateOct 1, 2018

Multimodel ensemble prediction of summer droughts over the Yellow River Basin

Researchers improved soil moisture drought forecasting over the Yellow River Basin by combining climate and land surface hydrology models, achieving higher probabilistic drought forecasting skill and reliability. The multimodel ensemble approach provides valuable information for drought adaptation in this region.

SourceInstitute of Atmospheric Physics, Chinese Academy of Sciences·JournalAtmospheric and Oceanic Science Letters·DateAug 13, 2018

More category 5 hurricanes forecasted by scientists

Researchers at Chapman University found that African dust storms can contribute to the development of larger, more powerful hurricanes like Hurricane Sandy. The study, published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, aims to improve forecasting for extreme weather events.

SourceChapman University·JournalIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·DateJul 18, 2018

Study forecasts growth rates of loblolly pine trees

Researchers at Virginia Tech used ecological forecasting to predict future growth rates of loblolly pine trees, showing a potential 30% increase in productivity by the middle of the century. The study focused on planted loblolly pine plantations in the Southeastern United States and highlighted uncertainties depending on specific regions.

SourceVirginia Tech·JournalEcological Applications·DateJul 12, 2018

New method makes weather forecasts right as rain

Researchers from the University of Missouri developed a system that improves rainfall forecast accuracy by considering evaporation. This method uses dual-polarization radar to track raindrops and a model assessing atmospheric humidity, resulting in more accurate forecasts for locations 30 miles or more from National Weather Service radar.

SourceUniversity of Missouri-Columbia·JournalJournal of Hydrology·DateJun 15, 2018