Design impact and significance of non-stationarity of variance in extreme rainfall
Stationarity in hydro-meteorological records is often investigated through an assessment of the mean value of the tested parameter. This is arguably insufficient for capturing fully the non-stationarity signal, and parameter variance is an equally important indicator. This study applied the Mann-Ken...
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ftdoajarticles:oai:doaj.org/article:8dbce8a1164f4a41a02aecc09351abcb 2023-05-15T17:36:28+02:00 Design impact and significance of non-stationarity of variance in extreme rainfall M. Al Saji J. J. O'Sullivan A. O'Connor 2015-06-01T00:00:00Z https://doi.org/10.5194/piahs-371-117-2015 https://doaj.org/article/8dbce8a1164f4a41a02aecc09351abcb EN eng Copernicus Publications https://www.proc-iahs.net/371/117/2015/piahs-371-117-2015.pdf https://doaj.org/toc/2199-8981 https://doaj.org/toc/2199-899X doi:10.5194/piahs-371-117-2015 2199-8981 2199-899X https://doaj.org/article/8dbce8a1164f4a41a02aecc09351abcb Proceedings of the International Association of Hydrological Sciences, Vol 371, Pp 117-123 (2015) Environmental sciences GE1-350 Geology QE1-996.5 article 2015 ftdoajarticles https://doi.org/10.5194/piahs-371-117-2015 2022-12-31T03:59:39Z Stationarity in hydro-meteorological records is often investigated through an assessment of the mean value of the tested parameter. This is arguably insufficient for capturing fully the non-stationarity signal, and parameter variance is an equally important indicator. This study applied the Mann-Kendall linear and Mann-Whitney-Wilcoxon step change trend detection techniques to investigate the changes in the mean and variance of annual maximum daily rainfalls at eight stations in Dublin, Ireland, where long and high quality daily rainfall records were available. The eight stations are located in a geographically similar and spatially compact region (< 950 km 2 ) and their rainfalls were shown to be well correlated. Results indicate that while significant positive step changes were observed in mean annual maximum daily rainfalls (1961 and 1997) at only two of the eight stations, a significant and consistent shift in the variance was observed at all eight stations during the 1980's. This period saw a widely noted positive shift in the winter North Atlantic Oscillation that greatly influences rainfall patterns in Northern Europe. Design estimates were obtained from a frequency analysis of annual maximum daily rainfalls (AM series) using the Generalised Extreme Value distribution, identified through application of the Modified Anderson Darling Goodness of Fit criterion. To evaluate the impact of the observed non-stationarity in variance on rainfall design estimates, two sets of depth-frequency relationships at each station for return periods from 5 to 100-years were constructed. The first was constructed with bootstrapped confidence intervals based on the full AM series assuming stationarity and the second was based on a partial AM series commencing in the year that followed the observed shift in variance. Confidence intervals distinguish climate signals from natural variability. Increases in design daily rainfall estimates obtained from the depth-frequency relationship developed from the truncated AM series, as ... Article in Journal/Newspaper North Atlantic North Atlantic oscillation Directory of Open Access Journals: DOAJ Articles Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497) Proceedings of the International Association of Hydrological Sciences 371 117 123 |
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op_collection_id |
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language |
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topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
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Environmental sciences GE1-350 Geology QE1-996.5 M. Al Saji J. J. O'Sullivan A. O'Connor Design impact and significance of non-stationarity of variance in extreme rainfall |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
Stationarity in hydro-meteorological records is often investigated through an assessment of the mean value of the tested parameter. This is arguably insufficient for capturing fully the non-stationarity signal, and parameter variance is an equally important indicator. This study applied the Mann-Kendall linear and Mann-Whitney-Wilcoxon step change trend detection techniques to investigate the changes in the mean and variance of annual maximum daily rainfalls at eight stations in Dublin, Ireland, where long and high quality daily rainfall records were available. The eight stations are located in a geographically similar and spatially compact region (< 950 km 2 ) and their rainfalls were shown to be well correlated. Results indicate that while significant positive step changes were observed in mean annual maximum daily rainfalls (1961 and 1997) at only two of the eight stations, a significant and consistent shift in the variance was observed at all eight stations during the 1980's. This period saw a widely noted positive shift in the winter North Atlantic Oscillation that greatly influences rainfall patterns in Northern Europe. Design estimates were obtained from a frequency analysis of annual maximum daily rainfalls (AM series) using the Generalised Extreme Value distribution, identified through application of the Modified Anderson Darling Goodness of Fit criterion. To evaluate the impact of the observed non-stationarity in variance on rainfall design estimates, two sets of depth-frequency relationships at each station for return periods from 5 to 100-years were constructed. The first was constructed with bootstrapped confidence intervals based on the full AM series assuming stationarity and the second was based on a partial AM series commencing in the year that followed the observed shift in variance. Confidence intervals distinguish climate signals from natural variability. Increases in design daily rainfall estimates obtained from the depth-frequency relationship developed from the truncated AM series, as ... |
format |
Article in Journal/Newspaper |
author |
M. Al Saji J. J. O'Sullivan A. O'Connor |
author_facet |
M. Al Saji J. J. O'Sullivan A. O'Connor |
author_sort |
M. Al Saji |
title |
Design impact and significance of non-stationarity of variance in extreme rainfall |
title_short |
Design impact and significance of non-stationarity of variance in extreme rainfall |
title_full |
Design impact and significance of non-stationarity of variance in extreme rainfall |
title_fullStr |
Design impact and significance of non-stationarity of variance in extreme rainfall |
title_full_unstemmed |
Design impact and significance of non-stationarity of variance in extreme rainfall |
title_sort |
design impact and significance of non-stationarity of variance in extreme rainfall |
publisher |
Copernicus Publications |
publishDate |
2015 |
url |
https://doi.org/10.5194/piahs-371-117-2015 https://doaj.org/article/8dbce8a1164f4a41a02aecc09351abcb |
long_lat |
ENVELOPE(-59.828,-59.828,-63.497,-63.497) |
geographic |
Kendall |
geographic_facet |
Kendall |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
Proceedings of the International Association of Hydrological Sciences, Vol 371, Pp 117-123 (2015) |
op_relation |
https://www.proc-iahs.net/371/117/2015/piahs-371-117-2015.pdf https://doaj.org/toc/2199-8981 https://doaj.org/toc/2199-899X doi:10.5194/piahs-371-117-2015 2199-8981 2199-899X https://doaj.org/article/8dbce8a1164f4a41a02aecc09351abcb |
op_doi |
https://doi.org/10.5194/piahs-371-117-2015 |
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Proceedings of the International Association of Hydrological Sciences |
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371 |
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117 |
op_container_end_page |
123 |
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