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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Missed opportunity in charitable food sector! by A. Devine, A. Douglas-Watson, R. Sambell, T. Lawlis

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Changes to Atmospheric River Related Extremes Over the United States West Coast Under Anthropogenic Warming by Timothy B. Higgins, Aneesh C. Subramanian, Peter A. G. Watson, Sarah Sparrow

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Changes in Winter Temperature Extremes From Future Arctic Sea‐Ice Loss and Ocean Warming by Y. T. Eunice Lo, Dann M. Mitchell, Peter A. G. Watson, James A. Screen

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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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A multi-variable box model approach to the soft tissue carbon pump by A. M. de Boer, A. J. Watson, N. R. Edwards, K. I. C. Oliver

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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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Electronic feedback or handwritten feedback: What do undergraduate students prefer and why? by Bruce Spitzer, Frank X. McGoron, Emily E. Williams, Michelle A. Bakerson, A. Bruce Watson, Ni Chang

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Electronic feedback or handwritten feedback: What do undergraduate students prefer and why? by Ni Chang, A. Bruce Watson, Michelle A. Bakerson, Emily E. Williams, Frank X. McGoron, Bruce Spitzer

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An optimal transformation method applied to diagnose the ocean carbon budget by N. Mackay, T. Sohail, T. Sohail, J. D. Zika, J. D. Zika, R. G. Williams, O. Andrews, A. J. Watson

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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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Energy and nitrogen utilization of lactating dairy cattle fed increasing inclusion of a high-protein processed corn coproduct* by A.L. Carroll, D.L. Morris, M.L. Jolly-Beithaupt, K.J. Herrick, A.K. Watson, P.J. Kononoff

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Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in the EC-Earth global climate model by P. Davini, J. von Hardenberg, S. Corti, H. M. Christensen, S. Juricke, A. Subramanian, P. A. G. Watson, A. Weisheimer, T. N. Palmer

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A measurement system for vertical seawater profiles close to the air–sea interface by R. P. Sims, R. P. Sims, U. Schuster, A. J. Watson, M. X. Yang, F. E. Hopkins, J. Stephens, T. G. Bell

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Notes on the diet and habitat selection of the Sri Lankan Leopard <i>Panthera pardus kotiya</i> (Mammalia: Felidae) in the central highlands of Sri Lanka by A.M. Kittle, A.C. Watson, P.H.S.C. Kumara, S.D.K.C. Sandanayake, H.K.N. Sanjeewani, T.S.P. Fernando

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Tracking the spread of a passive tracer through Southern Ocean water masses by J. D. Zika, J.-B. Sallée, A. J. S. Meijers, A. C. Naveira-Garabato, A. J. Watson, M.-J. Messias, B. A. King

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Tidal mixing of estuarine and coastal waters in the western English Channel is a control on spatial and temporal variability in seawater CO₂ by R. P. Sims, M. Bedington, U. Schuster, A. J. Watson, V. Kitidis, R. Torres, H. S. Findlay, J. R. Fishwick, I. Brown, T. G. Bell

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Ensemble of global climate simulations for temperature in historical, 1.5 °C and 2.0 °C scenarios from HadAM4 by Jesús Lizana, Nicole D. Miranda, Sarah N. Sparrow, Peter A. G. Watson, Miriam Zachau Walker, David C. H. Wallom, Malcolm D. McCulloch

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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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