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The influence of synoptic airflow on UK daily precipitation extremes. Part I: Observed spatio-temporal relationships

Authors :
Henning W. Rust
Douglas Maraun
Timothy J. Osborn
Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
Source :
Climate Dynamics, Climate Dynamics, 2011, 36 (1-2), pp.261-275. ⟨10.1007/s00382-009-0710-9⟩, Climate Dynamics, Springer Verlag, 2011, 36 (1-2), pp.261-275. ⟨10.1007/s00382-009-0710-9⟩
Publication Year :
2011
Publisher :
HAL CCSD, 2011.

Abstract

We study the influence of synoptic scale atmospheric circulation on extreme daily precipitation across the United Kingdom, using observed time series from 689 rain gauges. To this end we employ a statistical model, that uses airflow strength, direction and vorticity as predictors for the generalised extreme value distribution of monthly precipitation maxima. The inferred relationships are connected with the dominant westerly flow, the orography, and the moisture supply from surrounding seas. We aggregated the results for individual rain gauges to regional scales to investigate the temporal variability of extreme precipitation. Airflow explains a significant fraction of the variability on subannual to decadal time scales. A large fraction of the especially heavy winter precipitation during the 1980s and 1990s in north Scotland can be attributed to a prevailing positive phase of the North Atlantic Oscillation. Our statistical model can be used for statistical downscaling and to validate regional climate model output.

Details

Language :
English
ISSN :
09307575 and 14320894
Database :
OpenAIRE
Journal :
Climate Dynamics, Climate Dynamics, 2011, 36 (1-2), pp.261-275. ⟨10.1007/s00382-009-0710-9⟩, Climate Dynamics, Springer Verlag, 2011, 36 (1-2), pp.261-275. ⟨10.1007/s00382-009-0710-9⟩
Accession number :
edsair.doi.dedup.....455498754b45b0f89504b51a8e6825fd
Full Text :
https://doi.org/10.1007/s00382-009-0710-9⟩