Downscaling summer rainfall in the UK from North Atlantic ocean temperatures

Annual series of three stochastic rainfall model parameters — the seasonal wet day amount (or intensity), the conditional dry–day probability (or dry–spell persistence), and the conditional wet-day probability (or wet-spell persistence) — were examined using daily rainfall records for ten UK station...

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Published in:Hydrology and Earth System Sciences
Main Author: Wilby, R. L.
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/hess-5-245-2001
https://www.hydrol-earth-syst-sci.net/5/245/2001/
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spelling ftcopernicus:oai:publications.copernicus.org:hess39474 2023-05-15T17:28:36+02:00 Downscaling summer rainfall in the UK from North Atlantic ocean temperatures Wilby, R. L. 2018-09-27 application/pdf https://doi.org/10.5194/hess-5-245-2001 https://www.hydrol-earth-syst-sci.net/5/245/2001/ eng eng doi:10.5194/hess-5-245-2001 https://www.hydrol-earth-syst-sci.net/5/245/2001/ eISSN: 1607-7938 Text 2018 ftcopernicus https://doi.org/10.5194/hess-5-245-2001 2019-12-24T09:59:47Z Annual series of three stochastic rainfall model parameters — the seasonal wet day amount (or intensity), the conditional dry–day probability (or dry–spell persistence), and the conditional wet-day probability (or wet-spell persistence) — were examined using daily rainfall records for ten UK stations for the period 1901–1995. The purpose was first, to determine the extent to which these indices of summer (June–August) rainfall were correlated with empirical orthogonal functions (EOFs) of summer North Atlantic sea surface temperature (SST) anomalies: second, to evaluate the skill of EOFs of preceding winter (December–February) SSTs for summer rainfall forecasting and downscaling.Correlation analyses suggest that observed increases in summer dry-spell persistence since the 1970s coincided with positive SST anomalies in the North Atlantic. In contrast, wet-spell persistence and intensities were relatively weakly correlated with the same patterns, implying that the use of SSTs is justifiable for conditioning occurrence but not intensity parameters. Furthermore, the correlation strengths were greater for EOFs of SSTs than those reported for area-average SST anomalies, indicating that the pattern of SST anomalies conveys important information about seasonal rainfall anomalies across the UK. When EOFs of winter SSTs were used to forecast summer rainfall in Cambridge, the skill was once again greater for dry-spells than either wet-spells or intensities. However, even for dry–spells, the correlation with observations — whilst statistically significant — was still rather modest (r<0.4). Nonetheless, the results are comparable to previous investigations of summer rainfall across Europe, and suggest that forecasting skill (across the UK) originates from the predictability of the rainfall occurrence process. Keywords: North Atlantic, ocean temperatures, downscaling, rainfall, forecasting, UK Text North Atlantic Copernicus Publications: E-Journals Hydrology and Earth System Sciences 5 2 245 257
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description Annual series of three stochastic rainfall model parameters — the seasonal wet day amount (or intensity), the conditional dry–day probability (or dry–spell persistence), and the conditional wet-day probability (or wet-spell persistence) — were examined using daily rainfall records for ten UK stations for the period 1901–1995. The purpose was first, to determine the extent to which these indices of summer (June–August) rainfall were correlated with empirical orthogonal functions (EOFs) of summer North Atlantic sea surface temperature (SST) anomalies: second, to evaluate the skill of EOFs of preceding winter (December–February) SSTs for summer rainfall forecasting and downscaling.Correlation analyses suggest that observed increases in summer dry-spell persistence since the 1970s coincided with positive SST anomalies in the North Atlantic. In contrast, wet-spell persistence and intensities were relatively weakly correlated with the same patterns, implying that the use of SSTs is justifiable for conditioning occurrence but not intensity parameters. Furthermore, the correlation strengths were greater for EOFs of SSTs than those reported for area-average SST anomalies, indicating that the pattern of SST anomalies conveys important information about seasonal rainfall anomalies across the UK. When EOFs of winter SSTs were used to forecast summer rainfall in Cambridge, the skill was once again greater for dry-spells than either wet-spells or intensities. However, even for dry–spells, the correlation with observations — whilst statistically significant — was still rather modest (r<0.4). Nonetheless, the results are comparable to previous investigations of summer rainfall across Europe, and suggest that forecasting skill (across the UK) originates from the predictability of the rainfall occurrence process. Keywords: North Atlantic, ocean temperatures, downscaling, rainfall, forecasting, UK
format Text
author Wilby, R. L.
spellingShingle Wilby, R. L.
Downscaling summer rainfall in the UK from North Atlantic ocean temperatures
author_facet Wilby, R. L.
author_sort Wilby, R. L.
title Downscaling summer rainfall in the UK from North Atlantic ocean temperatures
title_short Downscaling summer rainfall in the UK from North Atlantic ocean temperatures
title_full Downscaling summer rainfall in the UK from North Atlantic ocean temperatures
title_fullStr Downscaling summer rainfall in the UK from North Atlantic ocean temperatures
title_full_unstemmed Downscaling summer rainfall in the UK from North Atlantic ocean temperatures
title_sort downscaling summer rainfall in the uk from north atlantic ocean temperatures
publishDate 2018
url https://doi.org/10.5194/hess-5-245-2001
https://www.hydrol-earth-syst-sci.net/5/245/2001/
genre North Atlantic
genre_facet North Atlantic
op_source eISSN: 1607-7938
op_relation doi:10.5194/hess-5-245-2001
https://www.hydrol-earth-syst-sci.net/5/245/2001/
op_doi https://doi.org/10.5194/hess-5-245-2001
container_title Hydrology and Earth System Sciences
container_volume 5
container_issue 2
container_start_page 245
op_container_end_page 257
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