Abstract: Using Perturbed Physics Ensembles and Machine Learning to Select Parameters for Reducing Regional Biases in a Global Climate Model (2017 AGU Fall Meeting)

Using Perturbed Physics Ensembles and Machine Learning to Select Parameters for Reducing Regional Biases in a Global Climate Model

Sihan Li¹, David E Rupp², Linnia Hawkins³, Philip Mote⁴, Doug J McNeall⁵, Sparrow Sarah¹, David Wallom⁶ and Richard Arthur Betts⁵, (1)Oxford e-Research Centre, Oxford University, Oxford, United Kingdom, (2)Oregon Climate Change Research Institute, CEOAS/OSU, Corvallis, OR, United States, (3)Oregon State University, Forest Ecosystems and Society, Corvallis, OR, United States, (4)Oregon Climate Change Research Institute, Corvallis, OR, United States, (5)Met Office Hadley Centre, Exeter, United Kingdom, (6)OeRC, University of Oxford, United Kingdom

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