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2 Summer Courses in Climate Time Series Analysis

last modified Jun 29, 2016 04:39 PM
The courses are tailored to the needs of PhD students and postdocs in climatology as well as ecology, environmental sciences, geosciences, meteorology and hydrology.
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Aug 08, 2016 07:00 PM to Aug 19, 2016 02:00 PM (Europe/Vienna / UTC200)
Heckenbeck, Bad Gandersheim (Germany)
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8 to 12 August 2016 (Basic Course)

15 to 19 August 2016 (Advanced Course)


You get the required statistical tools and extensive hands-on training to become able to optimally analyse your data and answer the associated questions about the climate. You acquire the theoretical basis for understanding the tools and interpreting the results. You learn to determine the various sources of uncertainty in data, climate models and statistical estimation. You become aware of the three major pitfalls in climate data analysis: ignored autocorrelation, violated Gaussian assumption and ignored multiplicity of hypothesis tests.

Basic level. Knowledge in calculus. You do not need any statistical background.

Advanced level. Knowledge in calculus and basic statistics (e.g., random variable, expectation, variance).

Which level to take? You cannot make something wrong here. The course material is identical, just the level of explanation is more elaborate in 'basic'.

Climate case studies serve to illustrate the usefulness of the tools: how to make the most of your data by means of statistics—and how to publish it in a research paper. Examples include:

  • Cenozoic climate transitions (Mudelsee et al. 2014 Reviews of Geophysics 52)
  • Monsoon proxy records and solar forcing in the Holocene (Fleitmann et al. 2003 Science 300:1737)
  • Paleohurricane risk from proxy series during the past millennium (Besonen et al. 2008 Geophysical Research Letters 35:L14705)
  • River floods during the past centuries (Mudelsee et al. 2003 Nature 425:166)
  • Nature of long memory in river runoff series (Mudelsee 2007 Water Resources Research 43:W01202)

The course instructor, Dr. Manfred Mudelsee, trained in physics, geology and statistics, has a long-standing expertise in teaching statistical methods to non-specialists.

The courses consists of lectures and extensive hands-on training in computer tutorials. Data, software, the lecture as PDF, the statistical tools and a copy of the textbook (Mudelsee, 2014, Climate Time Series Analysis, 2nd edition, Springer, 454 pp) are included in the fee.

Participants are strongly encouraged to bring their own data for discussion and analysis during the course. For each course, the number of participants is limited to ten to allow in-depth consultation with the course holder and textbook author, Manfred Mudelsee.

An ice-breaker meal, a conference dinner, snacks, coffee and tea as well as a shuttle service to or from the railway station are also covered by the registration fee.

Participants of past courses have praised the intellectual atmosphere, the family-like setting and nice rural landscape here at Bad Gandersheim and Heckenbeck.

The new lecture house, without barriers, has just opened in summer 2015!




  • Climate Risk Analysis, Kreuzstrasse 27, Heckenbeck, 37581 Bad Gandersheim, Germany (CRA)
  • Contact person: Dr. Manfred Mudelsee, phone +49 5563 9998140


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