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SUMMARY:A search for robust information in climate change science
DESCRIPTION:Summary                                     
              \nClimate change is a threat to the societies in which
  we live so it is no surprise that policy and decision makers look to clim
 ate change science to provide the foundation and justification for the dec
 isions they need to make. Yet nonlinearities in many components of the cli
 mate system\, limited observational timeseries\, and the extrapolatory nat
 ure of the climate prediction problem\, raise substantial obstacles to the
  generation of robust information. This impacts the search for both scient
 ific understanding and policy guidance. In this talk I will touch briefly 
 on the physical simplicity of the basis for identifying climate change as 
 a threat and the importance of this simplicity when communicating with man
 y audiences. I will then discuss some issues relating to i) the extraction
  of robust information from observational timeseries\, for adaptation plan
 ning\, ii) the role of physical science in the modelling of global economi
 c impacts\, and iii) the implications of nonlinearity for the design of cl
 imate ensembles for use by both policy makers and scientists. These exampl
 es will highlight the value of\, indeed the requirement for\, multi-discip
 linary approaches in the science of climate change.\nBiography      
                    \nDr David Stainforth is a Senior Re
 search Fellow in the Grantham Research Institute. He is a physicist by tra
 ining and has many years’ experience of climate modelling. While a resea
 rcher at Oxford University\, he co-founded and was chief scientist of the 
 climateprediction.net project\, the world’s largest climate modelling ex
 periment. He has been both a NERC Research Fellow and a Tyndall Research F
 ellow at Oxford University. His current research interests focus on how we
  can extract robust and useful information about future climate\, and clim
 ate related phenomena\, from science and from modelling experiments. This 
 includes issues of how to design climate modelling experiments and how to 
 link climate science to real-world decision making in such a way as to be 
 of value to industry\, policy makers and wider society.
URL:https://www.imperial.ac.uk/events/107121/a-search-for-robust-informatio
 n-in-climate-change-science/
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LOCATION:United Kingdom
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