Climatic Change

, Volume 130, Issue 2, pp 77–81 | Cite as

Comment on the paper of Willems, P.: Multidecadal oscillatory behaviour of rainfall extremes in Europe. Published in: Climatic Change 120 (4), p. 931–944

Commentary

Abstract

In his article Willems (Clim Chang 120(4):931–944, 2013) proposed a methodology to analyse extremes in rainfall series. When applying it to artificially generated, non-cyclic random variables we were able to detect cyclic behavior. Therefor we had a closer look on the methodology. Here we discuss our considerations, why this method generates cycles, depending on chosen subperiods and their coherence between detected cycle lengths. To verify these relationships some examples based on random data samples are given.

Keywords

Autocorrelation Cycle Length Positive Anomaly Rainfall Extreme Cyclic Behavior 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Reference

  1. Willems P (2013) Multidecadal oscillatory behaviour of rainfall extremes in Europe. Clim Chang 120(4):931–944CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Institute for HydrologyRuhr- University BochumBochumGermany

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