A Review and Comparison of Changepoint Detection Techniques for Climate Data
University of Georgia · Environment and Climate Change Canada · +2 more institutions
Abstract
Abstract This review article enumerates, categorizes, and compares many of the methods that have been proposed to detect undocumented changepoints in climate data series. The methods examined include the standard normal homogeneity (SNH) test, Wilcoxon’s nonparametric test, two-phase regression (TPR) procedures, inhomogeneity tests, information criteria procedures, and various variants thereof. All of these methods have been proposed in the climate literature to detect undocumented changepoints, but heretofore there has been little formal comparison of the techniques on either real or simulated climate series. This study seeks to unify the topic, showing clearly the fundamental differences among the…
Citation impact
- FWCI
- 6.51
- Percentile
- 100%
- References
- 35
Authors
5Topics & keywords
- Wilcoxon signed-rank test
- Homogeneity (statistics)
- Nonparametric statistics
- Series (stratigraphy)
- Computer science
- Climate change
- Econometrics
- Bayes' theorem
- Climate action