首页|Data on Artificial Intelligence Reported by Etienne Plesiat and Colleagues (Arti ficial intelligence reveals past climate extremes by reconstructing historical r ecords)
Data on Artificial Intelligence Reported by Etienne Plesiat and Colleagues (Arti ficial intelligence reveals past climate extremes by reconstructing historical r ecords)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Artificial Intelligenc e is the subject of a report. According tonews reporting from Hamburg, Germany, by NewsRx journalists, research stated, "The understanding ofrecent climate ex tremes and the characterization of climate risk require examining these extremes withina historical context. However, the existing datasets of observed extreme s generally exhibit spatial gapsand inaccuracies due to inadequate spatial extr apolation."Financial support for this research came from EC | Horizon 2020 Framework Progra mme.The news correspondents obtained a quote from the research, "This problem arises from traditionalstatistical methods used to account for the lack of measuremen ts, particularly prevalent before the mid-20thcentury. In this work, we use art ificial intelligence to reconstruct observations of European climate extremes(w arm and cold days and nights) by leveraging Earth system model data from CMIP6 t hrough transferlearning. Our method surpasses conventional statistical techniqu es and diffusion models, showcasingits ability to reconstruct past extreme even ts and reveal spatial trends across an extensive time span(1901-2018) that is n ot covered by most reanalysis datasets."
HamburgGermanyEuropeArtificial Int elligenceEmerging TechnologiesMachine Learning
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