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Detection and Correction of Artificial Shifts in Climate Series
Abstract
Summary: Many long instrumental climate records are available and might provide useful information in climate research. These series are usually affected by artificial shifts, due to changes in the conditions of measurement and various kinds of spurious data. A comparison with surrounding weather-stations by means of a suitable two-factor model allows us to check the reliability of the series. An adapted penalized log-likelihood procedure is used to detect an unknown number of breaks and outliers. An example concerning temperature series from France confirms that a systematic comparison of the series together is valuable and allows us to correct the data even when no reliable series can be taken as a reference.
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Cited by
A 50‐year high‐resolution atmospheric reanalysis over France with the Safran system
Vidal, J., Martin, E., Franchistéguy, L., Baillon, M., & Soubeyroux, J. (2010) · International Journal of Climatology · doi:10.1002/joc.2003 · Cited by 788
A Review and Comparison of Changepoint Detection Techniques for Climate Data
Reeves, J., Chen, J., Wang, X. L., Lund, R., & Lu, Q. Q. (2007) · Journal of Applied Meteorology and Climatology · doi:10.1175/jam2493.1 · Cited by 638
Benchmarking homogenization algorithms for monthly data
Venema, V. K. C., Mestre, O., Aguilar, E., Auer, I., Guijarro, J. A., Domonkos, P., Vertacnik, G., Szentimrey, T., Stepanek, P., Zahradnicek, P., et al. (2012) · Climate of the Past · doi:10.5194/cp-8-89-2012 · Cited by 368
Self-citationHomogenization of Temperature Series via Pairwise Comparisons
Menne, M. J., & Williams, C. N. (2009) · Journal of Climate · doi:10.1175/2008jcli2263.1 · Cited by 349
Pan-European seasonal trends and recent changes of drought frequency and severity
Spinoni, J., Naumann, G., & Vogt, J. V. (2017) · Global and Planetary Change · doi:10.1016/j.gloplacha.2016.11.013 · Cited by 319
Metadata
- Authors
- Caussinus, H., & Mestre, O.
- Venue
- Journal of the Royal Statistical Society Series C: Applied Statistics
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-06-11
- Volume
- 53
- Issue
- 3
- Pages
- 405-425
- ISSN
- 0035-9254 (ISSN-L)
- 1467-9876
- OpenAlex
- W2168221443
- Cited by
- 281
- References
- 0
- FWCI
- 5.40
- Type
- journal article
- Language
- en
- Open access
- closed
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- Caussinus, H., & Mestre, O. (2004). Detection and Correction of Artificial Shifts in Climate Series. Journal of the Royal Statistical Society Series C: Applied Statistics. https://doi.org/10.1111/j.1467-9876.2004.05155.x
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