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METEOROLOGY  November 2011

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Subject:

Climate Time Series Analysis, Vienna, Austria, 22 to 27 April 2012 (EGU General Assembly)

From:

Mudelsee M <[log in to unmask]>

Reply-To:

Mudelsee M <[log in to unmask]>

Date:

Wed, 2 Nov 2011 22:51:36 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (104 lines)

Subject: Call for Abstracts,

EGU General Assembly, Vienna, Austria, 22 to 27 April 2012

Session CL5.4/NP4.5:
*Climate Time Series Analysis*

Deadline for abstract submission: 17 January 2012



Dear Colleague,

You are cordially invited to submit an abstract!

Although the range of "climate time series analysis" is certainly wide, 
the methodical focus of our session is sharp: "statistical". Hard tests, 
error bars, feasibility, relevance for the practitioner---no geophantasy.

Further information below.

Best wishes,

Manfred Mudelsee
Climate Risk Analysis, Germany and Alfred Wegener Institute for Polar
and Marine Research, Germany
Email: [log in to unmask]
Academic URL: http://www.manfredmudelsee.com
Company URL: http://www.climate-risk-analysis.com
Book: Climate Time Series Analysis, Springer 2010 
http://www.manfredmudelsee.com/book and 
http://www.springerlink.com/content/978-90-481-9481-0

Martin Trauth
Institute of Earth and Environmental Science, University of Potsdam,
Germany
Email: [log in to unmask]
Academic URL: http://www.geo.uni-potsdam.de/member-details/show/108.html
Book: MATLAB Recipes for Earth Sciences, 3rd edn., Springer 2010 
http://www.springerlink.com/content/978-3-642-12762-5



Session description
===================

This session is positioned at the interface between Statistics and 
Climatology. To have any success chances, the analysis of climate time 
series has to take into account the uncertainties in the climate system 
itself and in the measurements, and often also in the proxy quality and 
the dating. Climate records impose additional difficulties in form of:

(1) non-normal distributions,
(2) autocorrelation,
(3) uneven time spacing,
(4) uncertain timescales.

We welcome contributions that address those difficulties, show a sound 
statistical basis of the methodology and also demonstrate the 
feasibility of the method in real-world applications. Methods may 
include, but are not restricted to:

(1) regression,
(2) spectral analysis and wavelets,
(3) extreme values,
(4) correlation,
(5) nonlinear dynamical system analysis,
(6) spatio-temporal analysis.



Technical details
=================

Deadline for abstract submission is 17 January 2012.

Deadline for Support Applications is 15 December 2011.

Contributions must be submitted via the following link:
http://meetingorganizer.copernicus.org/EGU2012/session/9701

Guidelines for the submission of abstracts are available at:

http://meetings.copernicus.org/egu2012/abstract_management/how_to_submit_an_abstract.html


Dr. Manfred Mudelsee

Chief Executive Officer
Climate Risk Analysis - Manfred Mudelsee e. K. (HRA 20 13 94)
Schneiderberg 26
30167 Hannover
Germany
Telephone: +49 (0)511 7003 2891
Fax: +49 (0)511 7003 2892
Email: [log in to unmask]
URL: http://www.climate-risk-analysis.com

Research Scientist
Alfred Wegener Institute for Polar and Marine Research
Climate Science Division
Bussestrasse 24
27570 Bremerhaven
Germany

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