Dear colleagues,
We would like to draw your attention to the following session to be held
at the 11th International Meetings on Statistical Climatology (IMSC) on
12-16 July, 2010 in Edinburgh, Scotland.
Title: Bayesian statistics for climate research
Description: Climate analyses require one to consider the uncertainties
that may arise from the internal and/or external sources such as natural
internal variability, errors in observations, uncertainty in forcing or
scenario, and inter-model differences. In this respect, during the past
decade, Bayesian statistical approaches have been increasingly developed
and applied to various climate studies as a method for systematic
consideration of the uncertainties. However, although they are all based
on the Bayes' rule, actual applications appear very different depending
on which variables to be analyzed, what kinds of assumptions to be made,
and how to set up experiments with climate models. In this session, we
would like to discuss advantages and shortcomings as well as recent
advances and challenges in developing and applying Bayesian approaches
for climate studying by sharing ideas and experiences from various
applications. All climate studies using Bayesian methods are invited on
any temporal and spatial scales, including seasonal to decadal
prediction, climate change detection and projection, climate impact
assessment, climate model evaluation, and paleoclimate reconstruction.
Invited Speakers:
Pao-Shin Chu (University of Hawaii)
Armin Hass (Potsdam Institute for Climate Impact Research)
Deadline for abstract submission: Jan. 31st, 2010
To submit your abstracts (one page max, in word or pdf) directly to
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Please state in your email if you prefer an oral presentation or a
poster
For a list of other interesting sessions:
http://cccma.seos.uvic.ca/imsc/sessions.shtml
For general information on the 11th IMSC meeting:
http://cccma.seos.uvic.ca/imsc/11imsc.shtml
We are looking forward to your valuable contributions. Please feel free
to contact us if you have any questions.
Thank you very much for your interest.
Seung-Ki Min
Environment Canada
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Jonathan Rougier
University of Bristol
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