Machine learning applications for weather and climate need greater focus on extremes by Peter A G Watson

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Applying Machine Learning to Improve Simulations of a Chaotic Dynamical System Using Empirical Error Correction by Peter A. G. Watson

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Author Correction: Response of winter climate and extreme weather to projected Arctic sea-ice loss in very large-ensemble climate model simulations by Kunhui Ye, Tim Woollings, Sarah N. Sparrow, Peter A. G. Watson, James A. Screen

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Response of winter climate and extreme weather to projected Arctic sea-ice loss in very large-ensemble climate model simulations by Kunhui Ye, Tim Woollings, Sarah N. Sparrow, Peter A. G. Watson, James A. Screen

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Generating samples of extreme winters to support climate adaptation by Nicholas J. Leach, Peter A.G. Watson, Sarah N. Sparrow, David C.H. Wallom, David M.H. Sexton

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Using Deep Learning for an Analysis of Atmospheric Rivers in a High‐Resolution Large Ensemble Climate Data Set by Timothy B. Higgins, Aneesh C. Subramanian, Andre Graubner, Lukas Kapp‐Schwoerer, Peter A. G. Watson, Sarah Sparrow, Karthik Kashinath, Sol Kim, Luca Delle Monache, Will Chapman

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Global meteorological influences on the record UK rainfall of winter 2013–14 by Jeff R Knight, Anna Maidens, Peter A G Watson, Martin Andrews, Stephen Belcher, Gilbert Brunet, David Fereday, Chris K Folland, Adam A Scaife, Julia Slingo

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