Call for papers: Spatio-temporal aggregation and analysis of uncertain paleoclimate data (EGU General Assembly, Vienna, 3 to 8 April 2011)

European Geosciences Union (EGU) General Assembly, Vienna, Austria, 3 to 8 April 2011

CL4.16

Spatiotemporal aggregation and analysis of uncertain paleoclimate data

Convener: Manfred Mudelsee, Climate Risk Analysis, Germany, mudelsee@mudelsee.com co-convener 1: Michael Schulz, MARUM, Univ. Bremen, Germany, mschulz@uni-bremen.de co-convener 2: Martin H. Trauth, Univ. Potsdam, Germany, martin.trauth@geo.uni-potsdam.de

You are cordially invited to submit an abstract for our session on analysing uncertain paleoclimate data in space and time. We have secured two invited contributions and hope for a high-impact session.

The site for our session, from where you can also submit your abstract, is
http://meetingorganizer.copernicus.org/EGU2011/session/7136

The deadline for the receipt of abstracts is 10 Jan 2011.

If you wish to apply for financial support, please submit not later than 3 December 2010.

Further information about the EGU General Assembly 2011 can be found at http://meetings.copernicus.org/egu2011/home.html

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Session description:

Paleoclimate data are influenced by measurement and proxy errors as well as noise generated within the climate system. In addition, paleoclimate time series often exhibit uneven time spacing, hiatuses and dating uncertainties, while spatial paleoclimate data often have non-uniform coverage with occasionally large gaps. Obtaining quantitative information with realistic error bars from such data is therefore a methodical challenge. However, paleoclimate data analysis is not only of genuine interest, it may also help us to put current climate changes into context.
We welcome contributions that take up the challenge and exemplify how modern statistical methods (Bayesian, bootstrap, Monte Carlosimulations) can help to aggregate and analyse uncertain paleoclimate data. Examples include, but are certainly not limited to, reconstructing temperature fields for the past millennium, Last Glacial Maximum or Pliocene, comparing global signatures of Dansgaard-Oeschger events, developing time slices for Cenozoic climate evolution or generating profiles of oceanographic parameters. We especially encourage contributions focusing on quantitative data-model comparison.

Confirmed invited contributions:
Martin Tingley, Harvard, USA; Masa Kageyama, CNRS, France