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Autor:
Clayton Hendrick Sanford, Anna Kwa, Oliver Watt-Meyer, Spencer Koncius Clark, Noah Domino Brenowitz, Jeremy McGibbon, Christopher S. Bretherton
The use of machine learning (ML) for the online correction of coarse-resolution atmospheric models has proven effective in reducing biases in near-surface temperature and precipitation rate. However, this often introduces biases in the upper atmosphe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2870f70610b75c3736306a91b1a6da78
https://doi.org/10.22541/essoar.168500343.32924398/v1
https://doi.org/10.22541/essoar.168500343.32924398/v1