Summer Course in Climate Time Series Analysis

21.09 - 25.09.2015  
Bad Gandersheim, Germany
Contact person:
Manfred Mudelsee


The course is tailored to the needs of students and researchers in climatology and related fields, such as hydrology or environmental sciences. It provides the necessary know-how and statistical algorithms to optimally answer your questions about the climate, the hydrological system or the environment.

You learn about the various sources of uncertainty in data, 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.

Case studies include:

- Northern Hemisphere Glaciation in the Pliocene
- Monsoon proxy records and solar forcing in the Holocene
- Paleohurricane risk from proxy series during the past millennium
- River runoff simulated by climate models
- River floods during the past centuries
- Nature of long memory in runoff series

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

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


Deadline for early-bird registration: 4 September 2015
Number of participants limited to eight: first come, first serve

Cost: Registration fee covers: textbook, software, lunch, snacks, ice-breaker dinner, conference dinner
Registration fee, early-bird: 1320 EUR net
Registration fee, late: 1720 EUR net

Registration and more information:


Dr. Manfred Mudelsee
Chief Executive Officer
Climate Risk Analysis - Manfred Mudelsee e. K. (HRA 20 13 94)
Kreuzstrasse 27, Heckenbeck
37581 Bad Gandersheim

Telephone: +49 5563 9998140
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Skype: mudelsee1


Climate Time Series and Risk Analyses