首页|Researchers at University of Reading Have Reported New Data on Machine Learning (Machine Learning Bias Correction and Downscaling of Urban Heatwave Temperature Predictions From Kilometre To Hectometre Scale)
Researchers at University of Reading Have Reported New Data on Machine Learning (Machine Learning Bias Correction and Downscaling of Urban Heatwave Temperature Predictions From Kilometre To Hectometre Scale)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating in Reading, United Kingdom, by NewsRx journalists, research stated, “The urban heat island (UHI) effect exac erbates near-surface air temperature (T) extremes in cities, with negative impac ts for human health, building energy consumption and infrastructure. Using conve ntional weather models, it is both difficult and computationally expensive to si mulate the complex processes controlling neighbourhoodscale variation of T. We use machine learning (ML) to bias correct and downscale T predictions made by th e Met Office operational regional forecast model (UKV) to 100 m horizontal grid length over London, UK.”
ReadingUnited KingdomEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Reading
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