Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 7, issue 1
Articles | Volume 7, issue 1
https://doi.org/10.5194/ascmo-7-35-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ascmo-7-35-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 1
21 Apr 2021
 | 21 Apr 2021

A generalized Spatio-Temporal Threshold Clustering method for identification of extreme event patterns

Vitaly Kholodovsky and Xin-Zhong Liang

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Short summary
Consistent definition and verification of extreme events are still lacking. We propose a new generalized spatio-temporal threshold clustering method to identify extreme event episodes. We observe changes in the distribution of extreme precipitation frequency from large-scale well-connected spatial patterns to smaller-scale, more isolated rainfall clusters, possibly leading to more localized droughts and heat waves.
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