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Time series of warm spells using climate indices (1961-2021)
Publication: 25-02-2022
Last revision: 25-02-2022
Description
Time series of warm spell events using climate indices (1961-2021) for the cities of Athens and Larissa. Data include the first and the last day of each warm spell, and aggregate statistics about its intensity. Warm spell days were detected using the climate indices CTX90pct and CTX95pct.
According to the climate index CTX90pct (Perkins & Alexander 2013), a warm spell event occurs when the maximum temperature exceeds for at least 3 consecutive days its 90th percentile for the base period. The 90th percentile is computed for each weather station and for each day of the year, based on a 15-day moving window centred on the day in question. The CTX95pct is computed equivalently, using the 95th percentile.
The detection of warm spells was carried out using a new open-source Python library hotspell, which was developed for CLIMPACT.
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Download| License | CC-BY-SA 4.0 - Creative Commons Attribution-ShareAlike 4.0 International | |
|---|---|---|
| Title | Χρονοσειρές θερμών επεισοδίων μέσω κλιματικών δεικτών (1961-2021) | |
| Title (English) | Time series of warm spells using climate indices (1961-2021) | |
| Description (English) | Time series of warm spell events using climate indices (1961-2021) for the cities of Athens and Larissa. Data include the first and the last day of each warm spell, and aggregate statistics about its intensity. Warm spell days were detected using the climate indices CTX90pct and CTX95pct. According to the climate index CTX90pct [(Perkins & Alexander 2013)](https://doi.org/10.1175/JCLI-D-12-00383.1), a warm spell event occurs when the maximum temperature exceeds for at least 3 consecutive days its 90th percentile for the base period. The 90th percentile is computed for each weather station and for each day of the year, based on a 15-day moving window centred on the day in question. The CTX95pct is computed equivalently, using the 95th percentile. The detection of warm spells was carried out using a new open-source Python library [hotspell](https://github.com/agathangelidis/hotspell), which was developed for CLIMPACT. | |
| Contact e-mail | iliasaga@phys.uoa.gr | |
| Creator | Organization | National and Kapodistrian University of Athens |
| Creator name | Faculty of Physics, Remote Sensing and Image Processing Group | |
| Language | English | |