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MIT-derived algorithm helps forecast the frequency of extreme weather

MIT researchers developed a method to improve predictions from large-scale climate models. When paired with smaller-scale models to predict specific weather events such as tropical cyclones or floods, the approach produced more accurate predictions for how often specific locations will experience those events over the next few decades. ....

United States , Department Of Energy , District Of Columbia , Themistoklis Sapsis , Bryce Harrop , Williami Koch , Shixuan Zhang , Pedram Hassanzadeh , Ruby Leung , Barthel Sorensen , Energy Exascale Earth System Model , University Of Chicago , Department Of Mechanical Engineering , Pacific Northwest National Laboratory , Us Defense Advanced Research Projects Agency , Us Department Of Energy , Ocean Engineering , Modeling Earth , Benedikt Barthel Sorensen , Hurricane Sandy , Climate Extremes Theory , Advanced Research Projects ,

Environmental News Network - MIT-Derived Algorithm Helps Forecast the Frequency of Extreme Weather

Environmental News Network - MIT-Derived Algorithm Helps Forecast the Frequency of Extreme Weather
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United States , Massachusetts Institute Of Technology , Themistoklis Sapsis , Williami Koch , Department Of Mechanical Engineering , Ocean Engineering , Massachusetts Institute ,