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A new method for detecting undocumented discontinuities in climatological time series
Author(s) -
Easterling David R.,
Peterson Thomas C.
Publication year - 1995
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/joc.3370150403
Subject(s) - classification of discontinuities , series (stratigraphy) , climatology , homogeneous , computer science , regression , time series , parametric statistics , climate change , econometrics , meteorology , data mining , statistics , machine learning , geology , mathematics , geography , mathematical analysis , paleontology , oceanography , combinatorics
The development of homogeneous climatological time series is a crucial step in examining climate fluctuations and change. We review and test methods that have been proposed previously for detecting inhomogeneities, and introduce a new method we have developed. This method is based on a combination of regression analysis and non‐parametric statistics. After evaluation against other techniques, using both simulated and observed data, our technique appears to have the best overall performance.