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| Titel |
Break Correction of Swiss Daily and Sub-Daily Temperature Series |
| VerfasserIn |
Renate Auchmann, Franz Kuglitsch, Andrea Toreti, Stefan Brönnimann |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250091093
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| Publikation (Nr.) |
 EGU/EGU2014-5362.pdf |
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| Zusammenfassung |
| Many applications in climate science require high-quality, long-term data at a high temporal resolution. However, such records are often affected by artificial breaks. The challenging task of homogenizing daily and sub-daily data has only been partially addressed in recent years. Therefore, the number of available datasets providing homogeneous daily and sub-daily series is still small compared to the volume of monthly or annual data.
In this study, series of daily maximum (Tmax), daily minimum (Tmin), morning (Tmorn), noon (Tnoon) and evening (Teve), and daily mean (Tmean) temperatures measured in 61 stations of the Swiss climate observation network were corrected for artificial breaks. The break detection for the above mentioned series was accomplished in a former study by using a combination of three different break detection methods. Here the previously determined breakpoints are corrected by applying the method of higher-order moments for autocorrelated data (HOMAD), which is an improved version of the higher-order moments method (HOM), providing an objective choice of regression parameters. |
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