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Climate Conversations: Machine Learning and Climate

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Manage episode 408058302 series 114142
Content provided by Met Office. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Met Office or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Climate Conversations brings you a show on Machine Learning within the discipline of Climate Science. Dr Doug McNeall introduces two Met Office experts, Prof Simon Vosper, Director of Science at the Met Office and Dr Rachel McInnes, Co-Director the Joint Centre for Environmental Intelligence. They discuss the latest developments and challenges of working with Machine Learning in advancing climate science... Their conversations detail methods used to support operational weather and climate models and forecasting and a glimpse into what we can expect next from this emerging technology.
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271 episodes

Artwork
iconShare
 
Manage episode 408058302 series 114142
Content provided by Met Office. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Met Office or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Climate Conversations brings you a show on Machine Learning within the discipline of Climate Science. Dr Doug McNeall introduces two Met Office experts, Prof Simon Vosper, Director of Science at the Met Office and Dr Rachel McInnes, Co-Director the Joint Centre for Environmental Intelligence. They discuss the latest developments and challenges of working with Machine Learning in advancing climate science... Their conversations detail methods used to support operational weather and climate models and forecasting and a glimpse into what we can expect next from this emerging technology.
  continue reading

271 episodes

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