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dc.contributor.authorCatto, J
dc.contributor.authorBrown, S
dc.contributor.authorBarnes, C
dc.contributor.authorChan, S
dc.contributor.authorCotterill, D
dc.contributor.authorDale, M
dc.contributor.authorDawkins, L
dc.contributor.authorFowler, H
dc.contributor.authorGarry, F
dc.contributor.authorKeat, W
dc.contributor.authorKendon, E
dc.contributor.authorLowe, J
dc.contributor.authorManning, C
dc.contributor.authorPritchard, D
dc.contributor.authorRobins, P
dc.contributor.authorSexton, D
dc.contributor.authorShooter, R
dc.contributor.authorStephenson, D
dc.date.accessioned2024-06-26T14:43:46Z
dc.date.issued2023-12-23
dc.date.updated2024-06-26T14:06:41Z
dc.description.abstractThis chapter describes new methods and datasets, developed through UK Climate Resilience Programme (UKCR) projects, to better understand climate hazards. We describe projections of hazards using new tools and provide examples of applications for decision-making. Going forward, this new physical and statistical understanding should be incorporated into climate risk assessments.en_GB
dc.format.extent131-144
dc.identifier.citationIn: Quantifying Climate Risk and Building Resilience in the UK, edited by S. Desai, K. Lonsdale, J. Lowe, R. Harcourt. pp. 131-144en_GB
dc.identifier.doihttps://doi.org/10.1007/978-3-031-39729-5_9
dc.identifier.urihttp://hdl.handle.net/10871/136453
dc.identifierORCID: 0000-0002-8662-1398 (Catto, Jennifer)
dc.identifierResearcherID: B-3637-2013 (Catto, Jennifer)
dc.language.isoenen_GB
dc.publisherSpringer Natureen_GB
dc.rights© 2024 The Author(s). Open Access. This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.en_GB
dc.subjectClimate hazardsen_GB
dc.subjectFlooden_GB
dc.subjectExtreme weatheren_GB
dc.subjectHigh-resolution modellingen_GB
dc.subjectStatistical methods for extremesen_GB
dc.titleImproved understanding and characterisation of climate hazards in the UKen_GB
dc.typeBook chapteren_GB
dc.date.available2024-06-26T14:43:46Z
dc.contributor.editorDesai, S
dc.contributor.editorLonsdale, K
dc.contributor.editorLowe, J
dc.contributor.editorHarcourt, R
dc.identifier.isbn9783031397288
dc.identifier.isbn3031397290
dc.descriptionThis is the final version. Available from Springer Nature via the DOI in this record. en_GB
dc.relation.ispartofQuantifying Climate Risk and Building Resilience in the UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-12-23
rioxxterms.typeBook chapteren_GB
refterms.dateFCD2024-06-26T14:27:34Z
refterms.versionFCDVoR
refterms.dateFOA2024-06-26T14:43:47Z
refterms.dateFirstOnline2023-12-23


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© 2024 The Author(s). Open Access. This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Except where otherwise noted, this item's licence is described as © 2024 The Author(s). Open Access. This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.