Multi-thousand-year simulations of December-February precipitation and zonal upper-level wind ...
This dataset contains multi-thousand-year ensemble simulations of wintertime (December-February) precipitation total and average zonal winds at 250 hPa and 850 hPa. It includes data in a present-day scenario (2006-2015) and two future scenarios within which the world would be 1.5°C and 2.0°C warmer...
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Online Access: | https://dx.doi.org/10.5281/zenodo.4311221 https://zenodo.org/record/4311221 |
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ftdatacite:10.5281/zenodo.4311221 2023-12-03T10:30:10+01:00 Multi-thousand-year simulations of December-February precipitation and zonal upper-level wind ... Bevacqua, Emanuele Watson, Peter Sparrow, Sarah Wallom, David 2020 https://dx.doi.org/10.5281/zenodo.4311221 https://zenodo.org/record/4311221 unknown Zenodo https://dx.doi.org/10.5281/zenodo.4311220 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess multi-thousand-year ensemble simulations large ensemble climate change precipitation simulations zonal wind climate model simulations dataset Dataset 2020 ftdatacite https://doi.org/10.5281/zenodo.431122110.5281/zenodo.4311220 2023-11-03T11:00:10Z This dataset contains multi-thousand-year ensemble simulations of wintertime (December-February) precipitation total and average zonal winds at 250 hPa and 850 hPa. It includes data in a present-day scenario (2006-2015) and two future scenarios within which the world would be 1.5°C and 2.0°C warmer than pre-industrial conditions in 1850-1900. The simulations were run through the global model of the atmosphere and land surface HadAM4 (Williams et al., 2003) with a horizontal resolution of 5/6°x5/9° (approximately 60km in middle latitudes) and 38 vertical levels and a large ensemble. Following the HAPPI experiment design described by Mitchell et al. (2017), simulations were driven by prescribed fields of sea ice concentration, sea surface temperature, and atmospheric gas concentrations. The prescribed fields are observations for the present-day scenario. For future simulations, the prescribed fields were modified based on changes derived from CMIP5 multi-model means. The different realisations of the large ... : We thank JASMIN and CEDA for providing the facilities required to work with climateprediction.net. We thank the volunteers who have donated their computing time to climateprediction.net. ... Dataset Sea ice DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
multi-thousand-year ensemble simulations large ensemble climate change precipitation simulations zonal wind climate model simulations |
spellingShingle |
multi-thousand-year ensemble simulations large ensemble climate change precipitation simulations zonal wind climate model simulations Bevacqua, Emanuele Watson, Peter Sparrow, Sarah Wallom, David Multi-thousand-year simulations of December-February precipitation and zonal upper-level wind ... |
topic_facet |
multi-thousand-year ensemble simulations large ensemble climate change precipitation simulations zonal wind climate model simulations |
description |
This dataset contains multi-thousand-year ensemble simulations of wintertime (December-February) precipitation total and average zonal winds at 250 hPa and 850 hPa. It includes data in a present-day scenario (2006-2015) and two future scenarios within which the world would be 1.5°C and 2.0°C warmer than pre-industrial conditions in 1850-1900. The simulations were run through the global model of the atmosphere and land surface HadAM4 (Williams et al., 2003) with a horizontal resolution of 5/6°x5/9° (approximately 60km in middle latitudes) and 38 vertical levels and a large ensemble. Following the HAPPI experiment design described by Mitchell et al. (2017), simulations were driven by prescribed fields of sea ice concentration, sea surface temperature, and atmospheric gas concentrations. The prescribed fields are observations for the present-day scenario. For future simulations, the prescribed fields were modified based on changes derived from CMIP5 multi-model means. The different realisations of the large ... : We thank JASMIN and CEDA for providing the facilities required to work with climateprediction.net. We thank the volunteers who have donated their computing time to climateprediction.net. ... |
format |
Dataset |
author |
Bevacqua, Emanuele Watson, Peter Sparrow, Sarah Wallom, David |
author_facet |
Bevacqua, Emanuele Watson, Peter Sparrow, Sarah Wallom, David |
author_sort |
Bevacqua, Emanuele |
title |
Multi-thousand-year simulations of December-February precipitation and zonal upper-level wind ... |
title_short |
Multi-thousand-year simulations of December-February precipitation and zonal upper-level wind ... |
title_full |
Multi-thousand-year simulations of December-February precipitation and zonal upper-level wind ... |
title_fullStr |
Multi-thousand-year simulations of December-February precipitation and zonal upper-level wind ... |
title_full_unstemmed |
Multi-thousand-year simulations of December-February precipitation and zonal upper-level wind ... |
title_sort |
multi-thousand-year simulations of december-february precipitation and zonal upper-level wind ... |
publisher |
Zenodo |
publishDate |
2020 |
url |
https://dx.doi.org/10.5281/zenodo.4311221 https://zenodo.org/record/4311221 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://dx.doi.org/10.5281/zenodo.4311220 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.431122110.5281/zenodo.4311220 |
_version_ |
1784255867568259072 |