2022
DOI: 10.1002/joc.7542
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Historical droughts in Irish catchments 1767–2016

Abstract: Recent prolonged dry periods in summer 2018 and spring 2020 have reawakened interest in drought in Ireland, prompting questions regarding historical drought occurrence and potential long‐term risks. Employing 250 years of monthly precipitation and flow reconstructions, we investigate historical drought in Irish catchments evaluating the characteristics (number of events, duration, and deficits) of moderate, severe, and extreme droughts as well as the propagation of meteorological to hydrological drought. Using… Show more

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Cited by 6 publications
(11 citation statements)
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“…These findings are consistent with O'Connor et al . (2022) who identify Cluster 1 catchments as being the most susceptible to hydrological drought in summer due to the lack of groundwater storage. Cluster 3 catchments show the highest likelihoods of impact reporting from September through April where even in December at more extreme deficits there exists a very high chance of drought related impact reports occurring.…”
Section: Discussionmentioning
confidence: 99%
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“…These findings are consistent with O'Connor et al . (2022) who identify Cluster 1 catchments as being the most susceptible to hydrological drought in summer due to the lack of groundwater storage. Cluster 3 catchments show the highest likelihoods of impact reporting from September through April where even in December at more extreme deficits there exists a very high chance of drought related impact reports occurring.…”
Section: Discussionmentioning
confidence: 99%
“…(2021) also produced uncertainty estimates for flow reconstructions by applying different model structures and parameter sets; here we use the available ensemble median flow reconstruction for each catchment. Previous hierarchical cluster analysis of the SSI‐1, 3, 6 and 12 during 1767–2016 identified three dominant catchment clusters for Ireland from the same 51 test catchments (O'Connor et al ., 2022). To allow for a comparison of results between the studies, we conduct our analysis using the same cluster groupings (see Figure 1a).…”
Section: Methodsmentioning
confidence: 99%
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