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Good Practices and Common Pitfalls in Climate Time Series Changepoint Techniques: A Review

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Good Practices and Common Pitfalls in Climate Time Series Changepoint Techniques: A Review. / Lund, Robert; Beaulieu, Claudie; Killick, Rebecca et al.
In: Journal of Climate, Vol. 36, No. 23, 31.12.2023, p. 8041-8057.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Lund, R, Beaulieu, C, Killick, R, Lu, Q & Shi, X 2023, 'Good Practices and Common Pitfalls in Climate Time Series Changepoint Techniques: A Review', Journal of Climate, vol. 36, no. 23, pp. 8041-8057. https://doi.org/10.1175/JCLI-D-22-0954.1

APA

Vancouver

Lund R, Beaulieu C, Killick R, Lu Q, Shi X. Good Practices and Common Pitfalls in Climate Time Series Changepoint Techniques: A Review. Journal of Climate. 2023 Dec 31;36(23):8041-8057. Epub 2023 Nov 7. doi: 10.1175/JCLI-D-22-0954.1

Author

Lund, Robert ; Beaulieu, Claudie ; Killick, Rebecca et al. / Good Practices and Common Pitfalls in Climate Time Series Changepoint Techniques : A Review. In: Journal of Climate. 2023 ; Vol. 36, No. 23. pp. 8041-8057.

Bibtex

@article{8d4633292d28456b91e8a625beb030e3,
title = "Good Practices and Common Pitfalls in Climate Time Series Changepoint Techniques: A Review",
abstract = "Climate changepoint (homogenization) methods abound today, with a myriad of techniques existing in both the climate and statistics literature. Unfortunately, the appropriate changepoint technique to use remains unclear to many. Further complicating issues, changepoint conclusions are not robust to small perturbations in assumptions; for example, allowing for a trend or correlation in the series can drastically change conclusions. This paper is a review of the changepoint topic, with an emphasis on illuminating the models and techniques that allow the scientist to make reliable conclusions. Pitfalls to avoid are demonstrated via actual applications. The discourse begins by narrating the salient statistical features of most climate time series. Thereafter, single and multiple changepoint problems are considered. Several pitfalls are discussed en route and good practices are recommended. While the majority of our applications involve temperature series, other settings are mentioned.",
keywords = "stat.AP, Climate, Changepoint analysis, Time series",
author = "Robert Lund and Claudie Beaulieu and Rebecca Killick and Qiqi Lu and Xueheng Shi",
year = "2023",
month = dec,
day = "31",
doi = "10.1175/JCLI-D-22-0954.1",
language = "English",
volume = "36",
pages = "8041--8057",
journal = "Journal of Climate",
issn = "0894-8755",
publisher = "American Meteorological Society",
number = "23",

}

RIS

TY - JOUR

T1 - Good Practices and Common Pitfalls in Climate Time Series Changepoint Techniques

T2 - A Review

AU - Lund, Robert

AU - Beaulieu, Claudie

AU - Killick, Rebecca

AU - Lu, Qiqi

AU - Shi, Xueheng

PY - 2023/12/31

Y1 - 2023/12/31

N2 - Climate changepoint (homogenization) methods abound today, with a myriad of techniques existing in both the climate and statistics literature. Unfortunately, the appropriate changepoint technique to use remains unclear to many. Further complicating issues, changepoint conclusions are not robust to small perturbations in assumptions; for example, allowing for a trend or correlation in the series can drastically change conclusions. This paper is a review of the changepoint topic, with an emphasis on illuminating the models and techniques that allow the scientist to make reliable conclusions. Pitfalls to avoid are demonstrated via actual applications. The discourse begins by narrating the salient statistical features of most climate time series. Thereafter, single and multiple changepoint problems are considered. Several pitfalls are discussed en route and good practices are recommended. While the majority of our applications involve temperature series, other settings are mentioned.

AB - Climate changepoint (homogenization) methods abound today, with a myriad of techniques existing in both the climate and statistics literature. Unfortunately, the appropriate changepoint technique to use remains unclear to many. Further complicating issues, changepoint conclusions are not robust to small perturbations in assumptions; for example, allowing for a trend or correlation in the series can drastically change conclusions. This paper is a review of the changepoint topic, with an emphasis on illuminating the models and techniques that allow the scientist to make reliable conclusions. Pitfalls to avoid are demonstrated via actual applications. The discourse begins by narrating the salient statistical features of most climate time series. Thereafter, single and multiple changepoint problems are considered. Several pitfalls are discussed en route and good practices are recommended. While the majority of our applications involve temperature series, other settings are mentioned.

KW - stat.AP

KW - Climate

KW - Changepoint analysis

KW - Time series

U2 - 10.1175/JCLI-D-22-0954.1

DO - 10.1175/JCLI-D-22-0954.1

M3 - Journal article

VL - 36

SP - 8041

EP - 8057

JO - Journal of Climate

JF - Journal of Climate

SN - 0894-8755

IS - 23

ER -