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Tuning Improves High-Resolution Climate Simulations

Tuning parameterizations of turbulent mixing and of the fall velocity of precipitation and cloud ice alleviates long-standing biases in climate simulations.

MIT-derived algorithm helps forecast the frequency of extreme weather

MIT-derived algorithm helps forecast the frequency of extreme weather
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MIT Algorithm Helps Meteorologists Predict Extreme Weather More Accurately

MIT Algorithm Helps Meteorologists Predict Extreme Weather More Accurately
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Machine Learning Corrects Coarse Climate Model Predictions

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.

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