Articles | Volume 25, issue 9
https://doi.org/10.5194/hess-25-5153-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-5153-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A novel method to identify sub-seasonal clustering episodes of extreme precipitation events and their contributions to large accumulation periods
Oeschger Centre for Climate Change Research and Institute of Geography, University of Bern, Bern, Switzerland
Pauline Rivoire
Oeschger Centre for Climate Change Research and Institute of Geography, University of Bern, Bern, Switzerland
S. Mubashshir Ali
Oeschger Centre for Climate Change Research and Institute of Geography, University of Bern, Bern, Switzerland
Yannick Barton
Oeschger Centre for Climate Change Research and Institute of Geography, University of Bern, Bern, Switzerland
Olivia Martius
Oeschger Centre for Climate Change Research and Institute of Geography, University of Bern, Bern, Switzerland
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16 citations as recorded by crossref.
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- On the links between sub-seasonal clustering of extreme precipitation and high discharge in Switzerland and Europe A. Tuel et al. https://doi.org/10.5194/hess-26-2649-2022
- Subseasonal Clustering of Atmospheric Rivers Over the Western United States E. Slinskey et al. https://doi.org/10.1029/2023JD038833
- Local Influence of Surface Relative Humidity on Weather Radar Rainfall Observations over an Agricultural Semi-Arid Area F. Polls et al. https://doi.org/10.3390/rs17030439
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- Spatiotemporal changes in UK heavy rainfall events not captured by intensity-based methods L. Devitt et al. https://doi.org/10.1088/1748-9326/ae17dc
- Nonstationarity in Records of Extreme Precipitation Frequency for the Upper Midwest N. Gallagher et al. https://doi.org/10.1061/JHYEFF.HEENG-6830
- A global perspective on the sub-seasonal clustering of precipitation extremes A. Tuel & O. Martius https://doi.org/10.1016/j.wace.2021.100348
- Subseasonal Temporal Clustering of Extreme Precipitation in the Northern Hemisphere: Regionalization and Physical Drivers A. Tuel & O. Martius https://doi.org/10.1175/JCLI-D-21-0562.1
- A climatology of sub-seasonal temporal clustering of extreme precipitation in Switzerland and its links to extreme discharge A. Tuel & O. Martius https://doi.org/10.5194/nhess-21-2949-2021
- From extreme days to event-scale persistence: Characterizing for persistent extreme precipitation across multisource datasets Z. Zhao et al. https://doi.org/10.1016/j.wace.2026.100905
- Evaluation and projections of extreme precipitation using a spatial extremes framework L. Yang et al. https://doi.org/10.1002/joc.8038
- Compound flood hazard at Lake Como, Italy, is driven by temporal clustering of rainfall events F. Banfi & C. De Michele https://doi.org/10.1038/s43247-022-00557-9
- Changes in the probability of temporally compound wet and dry events in a warmer world: case study in the Upper Jhelum Basin—South Asia R. Ansari et al. https://doi.org/10.1007/s10113-025-02367-z
- Spatiotemporal patterns in persistent precipitation extremes of the Chinese mainland (1961–2022) and association with the dynamic factors W. Wan & Y. Zhou https://doi.org/10.1016/j.atmosres.2024.107600
16 citations as recorded by crossref.
- Multi-day hail clusters and isolated hail days in Switzerland – large-scale flow conditions and precursors H. Barras et al. https://doi.org/10.5194/wcd-2-1167-2021
- Impact-based temporal clustering of multiple meteorological hazard types in southwestern Germany K. Küpfer et al. https://doi.org/10.5194/nhess-25-2885-2025
- On the links between sub-seasonal clustering of extreme precipitation and high discharge in Switzerland and Europe A. Tuel et al. https://doi.org/10.5194/hess-26-2649-2022
- Subseasonal Clustering of Atmospheric Rivers Over the Western United States E. Slinskey et al. https://doi.org/10.1029/2023JD038833
- Local Influence of Surface Relative Humidity on Weather Radar Rainfall Observations over an Agricultural Semi-Arid Area F. Polls et al. https://doi.org/10.3390/rs17030439
- Weather persistence on sub-seasonal to seasonal timescales: a methodological review A. Tuel & O. Martius https://doi.org/10.5194/esd-14-955-2023
- Spatiotemporal changes in UK heavy rainfall events not captured by intensity-based methods L. Devitt et al. https://doi.org/10.1088/1748-9326/ae17dc
- Nonstationarity in Records of Extreme Precipitation Frequency for the Upper Midwest N. Gallagher et al. https://doi.org/10.1061/JHYEFF.HEENG-6830
- A global perspective on the sub-seasonal clustering of precipitation extremes A. Tuel & O. Martius https://doi.org/10.1016/j.wace.2021.100348
- Subseasonal Temporal Clustering of Extreme Precipitation in the Northern Hemisphere: Regionalization and Physical Drivers A. Tuel & O. Martius https://doi.org/10.1175/JCLI-D-21-0562.1
- A climatology of sub-seasonal temporal clustering of extreme precipitation in Switzerland and its links to extreme discharge A. Tuel & O. Martius https://doi.org/10.5194/nhess-21-2949-2021
- From extreme days to event-scale persistence: Characterizing for persistent extreme precipitation across multisource datasets Z. Zhao et al. https://doi.org/10.1016/j.wace.2026.100905
- Evaluation and projections of extreme precipitation using a spatial extremes framework L. Yang et al. https://doi.org/10.1002/joc.8038
- Compound flood hazard at Lake Como, Italy, is driven by temporal clustering of rainfall events F. Banfi & C. De Michele https://doi.org/10.1038/s43247-022-00557-9
- Changes in the probability of temporally compound wet and dry events in a warmer world: case study in the Upper Jhelum Basin—South Asia R. Ansari et al. https://doi.org/10.1007/s10113-025-02367-z
- Spatiotemporal patterns in persistent precipitation extremes of the Chinese mainland (1961–2022) and association with the dynamic factors W. Wan & Y. Zhou https://doi.org/10.1016/j.atmosres.2024.107600
Saved (final revised paper)
Latest update: 31 Oct 2026
Short summary
Episodes of extreme rainfall events happening in close temporal succession can lead to floods with dramatic impacts. We developed a novel method to individually identify those episodes and deduced the regions where they occur frequently and where their impact is substantial. Those regions are the east and northeast of the Asian continent, central Canada and the south of California, Afghanistan, Pakistan, the southwest of the Iberian Peninsula, and north of Argentina and south of Bolivia.
Episodes of extreme rainfall events happening in close temporal succession can lead to floods...
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