A large set of potential past, present and future hydro-meteorological time series for the UK ...
Hydro-meteorological extremes such as drought and heavy precipitation can have large impacts on society and the economy. With potentially increasing risks associated with such events due to climate change, properly assessing the associated impacts and uncertainties is critical for adequate adaptatio...
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Online Access: | https://dx.doi.org/10.3929/ethz-b-000239029 http://hdl.handle.net/20.500.11850/239029 |
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ftdatacite:10.3929/ethz-b-000239029 2024-10-13T14:10:44+00:00 A large set of potential past, present and future hydro-meteorological time series for the UK ... Guillod, Benoît Jones, Richard G. Dadson, Simon J. Coxon, Gemma Bussi, Gianbattista Freer, James Kay, Alison L. Massey, Neil R. Sparrow, Sarah N. Wallom, David C. H. Allen, Myles R. Hall, Jim W. 2018 application/pdf https://dx.doi.org/10.3929/ethz-b-000239029 http://hdl.handle.net/20.500.11850/239029 en eng ETH Zurich info:eu-repo/semantics/openAccess Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 Text article-journal Journal Article ScholarlyArticle 2018 ftdatacite https://doi.org/10.3929/ethz-b-000239029 2024-10-01T10:58:49Z Hydro-meteorological extremes such as drought and heavy precipitation can have large impacts on society and the economy. With potentially increasing risks associated with such events due to climate change, properly assessing the associated impacts and uncertainties is critical for adequate adaptation. However, the application of risk-based approaches often requires large sets of extreme events, which are not commonly available. Here, we present such a large set of hydro-meteorological time series for recent past and future conditions for the United Kingdom based on weather@home 2, a modelling framework consisting of a global climate model (GCM) driven by observed or projected sea surface temperature (SST) and sea ice which is downscaled to 25 km over the European domain by a regional climate model (RCM). Sets of 100 time series are generated for each of (i) a historical baseline (1900–2006), (ii) five near-future scenarios (2020–2049) and (iii) five far-future scenarios (2070–2099). The five scenarios in ... : Hydrology and Earth System Sciences, 22 (1) ... Article in Journal/Newspaper Sea ice DataCite |
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English |
description |
Hydro-meteorological extremes such as drought and heavy precipitation can have large impacts on society and the economy. With potentially increasing risks associated with such events due to climate change, properly assessing the associated impacts and uncertainties is critical for adequate adaptation. However, the application of risk-based approaches often requires large sets of extreme events, which are not commonly available. Here, we present such a large set of hydro-meteorological time series for recent past and future conditions for the United Kingdom based on weather@home 2, a modelling framework consisting of a global climate model (GCM) driven by observed or projected sea surface temperature (SST) and sea ice which is downscaled to 25 km over the European domain by a regional climate model (RCM). Sets of 100 time series are generated for each of (i) a historical baseline (1900–2006), (ii) five near-future scenarios (2020–2049) and (iii) five far-future scenarios (2070–2099). The five scenarios in ... : Hydrology and Earth System Sciences, 22 (1) ... |
format |
Article in Journal/Newspaper |
author |
Guillod, Benoît Jones, Richard G. Dadson, Simon J. Coxon, Gemma Bussi, Gianbattista Freer, James Kay, Alison L. Massey, Neil R. Sparrow, Sarah N. Wallom, David C. H. Allen, Myles R. Hall, Jim W. |
spellingShingle |
Guillod, Benoît Jones, Richard G. Dadson, Simon J. Coxon, Gemma Bussi, Gianbattista Freer, James Kay, Alison L. Massey, Neil R. Sparrow, Sarah N. Wallom, David C. H. Allen, Myles R. Hall, Jim W. A large set of potential past, present and future hydro-meteorological time series for the UK ... |
author_facet |
Guillod, Benoît Jones, Richard G. Dadson, Simon J. Coxon, Gemma Bussi, Gianbattista Freer, James Kay, Alison L. Massey, Neil R. Sparrow, Sarah N. Wallom, David C. H. Allen, Myles R. Hall, Jim W. |
author_sort |
Guillod, Benoît |
title |
A large set of potential past, present and future hydro-meteorological time series for the UK ... |
title_short |
A large set of potential past, present and future hydro-meteorological time series for the UK ... |
title_full |
A large set of potential past, present and future hydro-meteorological time series for the UK ... |
title_fullStr |
A large set of potential past, present and future hydro-meteorological time series for the UK ... |
title_full_unstemmed |
A large set of potential past, present and future hydro-meteorological time series for the UK ... |
title_sort |
large set of potential past, present and future hydro-meteorological time series for the uk ... |
publisher |
ETH Zurich |
publishDate |
2018 |
url |
https://dx.doi.org/10.3929/ethz-b-000239029 http://hdl.handle.net/20.500.11850/239029 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 |
op_doi |
https://doi.org/10.3929/ethz-b-000239029 |
_version_ |
1812818196630077440 |