ÐÓ°ÉÂÛ̳

 (Video)
Speakers: Professor Leonard Smith and Dr Gavin Schmidt (NASA GISS)
Chair: Arthur Petersen (UCL)
Recorded on: 2 October 2017
Duration: 01:32:56

 (Audio)
Recorded on: 15 March 2017
Duration: 01:29:53 minutes
Presented as part of 

Doing science in the dark
Speakers: Leonard Smith and Erica Thompson
Recorded on: 29 October 2014
Duration: 01:30:08 minutes
Presented as part of the  at the Rotman Institute of Philosophy, Western University, Canada.

Clarity before consensus
Recorded on: 26 October 2014
Duration: 01:04:13 minutes
Presented at: '' conference at the Rotman Institute of Philosophy, Western University, Canada.
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Improving weather forecasts to avert disruptions, damage and disaster
Recorded on: 9 October 2014
Duration: 00:07:06 minutes
Produced as part of the ÐÓ°ÉÂÛ̳ REF 2014 Impact Case Studies.

Types of uncertainty, kinds of probability, and (re)designing climate simulation from scratch
Recorded on: 7 October 2013
Duration: 01:23:08 minutes
Presented at: '' workshop 6-11 October 2013, Banff International Research Station, Canada
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Aims and means of supermodeling by cross-pollination in time
Recorded on: 6 September 2013
Duration: 01:00:59 minutes
Presented at: Talk slides

Distinguishing uncertainty, diversity and insight
Recorded on: 13 August 2012
Duration: 00:43:42|
Presented at: , NCAR

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Model error and data assimilation
Recorded on: 15 July 2011
Duration: 00:08:17 minutes
Presented at:
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The Geometry of Data Assimilation 2: gradient descent (GD) and indistinguishable states importance sampler (ISIS)
Recorded on: 12 July 2011
Duration: 01:03:41 minutes
Presented at:
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The Geometry of Data Assimilation in Maths, Physics, Forecasting and Decision Support
Recorded on: 11 July 2011
Duration: 01:26:07 minutes
Presented at:
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One two three more: challenges to describing a warmer world
Recorded on: 30 September 2009
Duration: 00:21:36 minutes
Presented at: '4 degrees and beyond' Conference, Oxford
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Recorded on: 12 April 2007
Duration: 00:35:03 minutes
Presented at: MSRI Symposium on climate change: from global models to location action
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