Machine studying could also be a game-changer for local weather prediction

New analysis demonstrates that machine-learning methods can be utilized to precisely symbolize clouds and their atmospheric heating and moistening, and higher symbolize clouds in coarse decision local weather fashions, with the potential to slim the vary of local weather prediction. This might be a significant advance in correct predictions of worldwide warming in response to elevated greenhouse gasoline concentrations which can be important for policy-makers (e.g. the Paris local weather settlement).
Geology News — ScienceDaily

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