Nonlinear dynamic analysis of daily rainfall variability across the UK from 1989 to 2018

Zhenru Shu*, Mike Jesson, Mark Sterling

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Proper understanding of rainfall variability is of essential importance for meteorological and hydrological modelling. This study examines whether a variety of nonlinear dynamic concepts can yield additional insights in the rainfall variability in the UK. Daily rainfall data recorded over a 30-yr period (1989–2018) from 32 mete- orological stations across the UK are analysed using recurrence plots, recurrence quantification analysis tech- niques and phase space reconstructions. The results of this analysis underscore the complex processes and variability that are associated with the UK’s rainfall data. The existence of chaos in UK rainfall data was iden- tified, and the extent of complexity in rainfall dynamics exhibited apparent geographic variability. In general, rainfall dynamics associated with stations on the Eastern coast and in central England tend to be more complex than those at other regions. Rainfall dynamics in Western and Northern Scotland were found to reveal marked long-term variability. Moreover, likewise to the rainfall total, seasonal variability in rainfall dynamics was also evident.
Original languageEnglish
Article number126849
Number of pages14
JournalJournal of Hydrology
Volume603
Early online date22 Aug 2021
DOIs
Publication statusPublished - Dec 2021

Keywords

  • Rainfall variability
  • Chaos theory
  • Nonlinear dynamics
  • Phase space reconstruction
  • Recurrence plot
  • Recurrence quantification analysis

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