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Grid-based simulation of river flows in Northern Ireland: Model performance and future flow changes
Northern Ireland (NI), and sub-catchments in the Republic of Ireland that drain to NI rivers, Information on the potential future impacts of climate change on river flows is necessary for adaptation planning. There have been many such studies for Great Britain, but fewer for NI. Here, a grid-based h...
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Published in: | Journal of hydrology. Regional studies 2021-12, Vol.38, p.100967, Article 100967 |
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description | Northern Ireland (NI), and sub-catchments in the Republic of Ireland that drain to NI rivers,
Information on the potential future impacts of climate change on river flows is necessary for adaptation planning. There have been many such studies for Great Britain, but fewer for NI. Here, a grid-based hydrological model is configured for NI, and used to investigate changes in seasonal mean, extreme high and extreme low flows.
When driven by observed climate data, the model shows good performance for a wide range of catchments, particularly where artificial influences are limited. When driven by ensemble data from the UKCP18 Regional (12 km) projections, model performance for the baseline period (1981–2010) is similar to that using observed data, especially when using a simple precipitation bias-correction. Model projections for a future time-slice (2051–2080) generally suggest decreases in spring–autumn mean flows, especially in summer (median −44%), but possible increases in winter mean flows (median 9%), with some variation between ensemble members, particularly in winter when some show large increases to the west. Consistent with this are large projected reductions in 10-year return period low flows everywhere (median −45%), and large increases in 10-year return period high flows for some locations and ensemble members (median 16%). Future applications could include expanding the range of climate data applied.
•Fully distributed grid-based hydrological model configured for Northern Ireland.•Model shows good performance for wide range of catchments.•Ensemble climate data from UKCP18 Regional projections used to drive model.•Mean flows show spring–autumn decreases but possible winter increases (2051–2080).•Large low flow reductions; large high flow increases for some locations and members. |
doi_str_mv | 10.1016/j.ejrh.2021.100967 |
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Information on the potential future impacts of climate change on river flows is necessary for adaptation planning. There have been many such studies for Great Britain, but fewer for NI. Here, a grid-based hydrological model is configured for NI, and used to investigate changes in seasonal mean, extreme high and extreme low flows.
When driven by observed climate data, the model shows good performance for a wide range of catchments, particularly where artificial influences are limited. When driven by ensemble data from the UKCP18 Regional (12 km) projections, model performance for the baseline period (1981–2010) is similar to that using observed data, especially when using a simple precipitation bias-correction. Model projections for a future time-slice (2051–2080) generally suggest decreases in spring–autumn mean flows, especially in summer (median −44%), but possible increases in winter mean flows (median 9%), with some variation between ensemble members, particularly in winter when some show large increases to the west. Consistent with this are large projected reductions in 10-year return period low flows everywhere (median −45%), and large increases in 10-year return period high flows for some locations and ensemble members (median 16%). Future applications could include expanding the range of climate data applied.
•Fully distributed grid-based hydrological model configured for Northern Ireland.•Model shows good performance for wide range of catchments.•Ensemble climate data from UKCP18 Regional projections used to drive model.•Mean flows show spring–autumn decreases but possible winter increases (2051–2080).•Large low flow reductions; large high flow increases for some locations and members.</description><identifier>ISSN: 2214-5818</identifier><identifier>EISSN: 2214-5818</identifier><identifier>DOI: 10.1016/j.ejrh.2021.100967</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Climate change ; Great Britain ; hydrologic models ; Hydrological impacts ; Irish Republic ; meteorological data ; model validation ; Northern Ireland ; Rainfall-runoff ; rivers ; summer ; UK Climate Projections 2018 ; UKCP18</subject><ispartof>Journal of hydrology. Regional studies, 2021-12, Vol.38, p.100967, Article 100967</ispartof><rights>2021 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c443t-d025b701d51154bccae0f494e41505d154b31fd66259e02741c5eedd42c292a3</citedby><cites>FETCH-LOGICAL-c443t-d025b701d51154bccae0f494e41505d154b31fd66259e02741c5eedd42c292a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S2214581821001968$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,777,781,3536,27905,27906,45761</link.rule.ids></links><search><creatorcontrib>Kay, A.L.</creatorcontrib><creatorcontrib>Davies, H.N.</creatorcontrib><creatorcontrib>Lane, R.A.</creatorcontrib><creatorcontrib>Rudd, A.C.</creatorcontrib><creatorcontrib>Bell, V.A.</creatorcontrib><title>Grid-based simulation of river flows in Northern Ireland: Model performance and future flow changes</title><title>Journal of hydrology. Regional studies</title><description>Northern Ireland (NI), and sub-catchments in the Republic of Ireland that drain to NI rivers,
Information on the potential future impacts of climate change on river flows is necessary for adaptation planning. There have been many such studies for Great Britain, but fewer for NI. Here, a grid-based hydrological model is configured for NI, and used to investigate changes in seasonal mean, extreme high and extreme low flows.
When driven by observed climate data, the model shows good performance for a wide range of catchments, particularly where artificial influences are limited. When driven by ensemble data from the UKCP18 Regional (12 km) projections, model performance for the baseline period (1981–2010) is similar to that using observed data, especially when using a simple precipitation bias-correction. Model projections for a future time-slice (2051–2080) generally suggest decreases in spring–autumn mean flows, especially in summer (median −44%), but possible increases in winter mean flows (median 9%), with some variation between ensemble members, particularly in winter when some show large increases to the west. Consistent with this are large projected reductions in 10-year return period low flows everywhere (median −45%), and large increases in 10-year return period high flows for some locations and ensemble members (median 16%). Future applications could include expanding the range of climate data applied.
•Fully distributed grid-based hydrological model configured for Northern Ireland.•Model shows good performance for wide range of catchments.•Ensemble climate data from UKCP18 Regional projections used to drive model.•Mean flows show spring–autumn decreases but possible winter increases (2051–2080).•Large low flow reductions; large high flow increases for some locations and members.</description><subject>Climate change</subject><subject>Great Britain</subject><subject>hydrologic models</subject><subject>Hydrological impacts</subject><subject>Irish Republic</subject><subject>meteorological data</subject><subject>model validation</subject><subject>Northern Ireland</subject><subject>Rainfall-runoff</subject><subject>rivers</subject><subject>summer</subject><subject>UK Climate Projections 2018</subject><subject>UKCP18</subject><issn>2214-5818</issn><issn>2214-5818</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9UU1P3DAQtSqQirb8AU4-csliO7aTIC4VKnQl2l64W157zDrKxss4AfHv8ZKq6gnNYUZP8958PEIuOFtzxvVVv4Yed2vBBC8A63TzhZwJwWWlWt6e_Fd_Jec594wx3jZtp9kZcfcYfbW1GTzNcT8PdopppClQjC-ANAzpNdM40t8Jpx3gSDcIgx39Nf2VPAz0ABgS7u3ogBaYhnmaET541O3s-AT5GzkNdshw_jevyOPdj8fbn9XDn_vN7feHyklZT5VnQm0bxr3iXMmtcxZYkJ0EyRVT_ojVPHitheqAiUZypwC8l8KJTth6RTaLrE-2NweMe4tvJtloPoCET8biFN0AZus4eNexWkorO1tbLsFq2YHQrQq8LlqXi9YB0_MMeTL7mB0M5XJIczZC11o2tSixImJpdZhyRgj_RnNmjv6Y3hz9MUd_zOJPId0sJCj_eImAJrsI5Yc-IripbBw_o78DWviYYA</recordid><startdate>202112</startdate><enddate>202112</enddate><creator>Kay, A.L.</creator><creator>Davies, H.N.</creator><creator>Lane, R.A.</creator><creator>Rudd, A.C.</creator><creator>Bell, V.A.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><scope>DOA</scope></search><sort><creationdate>202112</creationdate><title>Grid-based simulation of river flows in Northern Ireland: Model performance and future flow changes</title><author>Kay, A.L. ; Davies, H.N. ; Lane, R.A. ; Rudd, A.C. ; Bell, V.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c443t-d025b701d51154bccae0f494e41505d154b31fd66259e02741c5eedd42c292a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Climate change</topic><topic>Great Britain</topic><topic>hydrologic models</topic><topic>Hydrological impacts</topic><topic>Irish Republic</topic><topic>meteorological data</topic><topic>model validation</topic><topic>Northern Ireland</topic><topic>Rainfall-runoff</topic><topic>rivers</topic><topic>summer</topic><topic>UK Climate Projections 2018</topic><topic>UKCP18</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kay, A.L.</creatorcontrib><creatorcontrib>Davies, H.N.</creatorcontrib><creatorcontrib>Lane, R.A.</creatorcontrib><creatorcontrib>Rudd, A.C.</creatorcontrib><creatorcontrib>Bell, V.A.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of hydrology. Regional studies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kay, A.L.</au><au>Davies, H.N.</au><au>Lane, R.A.</au><au>Rudd, A.C.</au><au>Bell, V.A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Grid-based simulation of river flows in Northern Ireland: Model performance and future flow changes</atitle><jtitle>Journal of hydrology. Regional studies</jtitle><date>2021-12</date><risdate>2021</risdate><volume>38</volume><spage>100967</spage><pages>100967-</pages><artnum>100967</artnum><issn>2214-5818</issn><eissn>2214-5818</eissn><abstract>Northern Ireland (NI), and sub-catchments in the Republic of Ireland that drain to NI rivers,
Information on the potential future impacts of climate change on river flows is necessary for adaptation planning. There have been many such studies for Great Britain, but fewer for NI. Here, a grid-based hydrological model is configured for NI, and used to investigate changes in seasonal mean, extreme high and extreme low flows.
When driven by observed climate data, the model shows good performance for a wide range of catchments, particularly where artificial influences are limited. When driven by ensemble data from the UKCP18 Regional (12 km) projections, model performance for the baseline period (1981–2010) is similar to that using observed data, especially when using a simple precipitation bias-correction. Model projections for a future time-slice (2051–2080) generally suggest decreases in spring–autumn mean flows, especially in summer (median −44%), but possible increases in winter mean flows (median 9%), with some variation between ensemble members, particularly in winter when some show large increases to the west. Consistent with this are large projected reductions in 10-year return period low flows everywhere (median −45%), and large increases in 10-year return period high flows for some locations and ensemble members (median 16%). Future applications could include expanding the range of climate data applied.
•Fully distributed grid-based hydrological model configured for Northern Ireland.•Model shows good performance for wide range of catchments.•Ensemble climate data from UKCP18 Regional projections used to drive model.•Mean flows show spring–autumn decreases but possible winter increases (2051–2080).•Large low flow reductions; large high flow increases for some locations and members.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.ejrh.2021.100967</doi><oa>free_for_read</oa></addata></record> |
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subjects | Climate change Great Britain hydrologic models Hydrological impacts Irish Republic meteorological data model validation Northern Ireland Rainfall-runoff rivers summer UK Climate Projections 2018 UKCP18 |
title | Grid-based simulation of river flows in Northern Ireland: Model performance and future flow changes |
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