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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ftzenodo:oai:zenodo.org:4311221 2023-06-06T11:59:11+02:00 Multi-thousand-year simulations of December-February precipitation and zonal upper-level wind Emanuele Bevacqua Peter Watson Sarah Sparrow David Wallom 2020-12-10 https://zenodo.org/record/4311221 https://doi.org/10.5281/zenodo.4311221 unknown doi:10.5281/zenodo.4311220 https://zenodo.org/record/4311221 https://doi.org/10.5281/zenodo.4311221 oai:zenodo.org:4311221 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode multi-thousand-year ensemble simulations large ensemble climate change precipitation simulations zonal wind climate model simulations info:eu-repo/semantics/other dataset 2020 ftzenodo https://doi.org/10.5281/zenodo.431122110.5281/zenodo.4311220 2023-04-13T23:35:22Z 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 ensemble were obtained through perturbing the initial conditions of each ensemble member on November 1st. For more details, see the description in Watson et al. (2020), who present the dataset, and in Bevacqua et al. (2021) where the dataset was used to study the spatial footprint of wintertime precipitation extremes. IMPORTANT: Note that a small fraction of the ensemble members is repeated in the dataset. Duplicates should be identified (for example, via the function duplicated() in the R software) and removed prior to any analysis. 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 Zenodo |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
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 Emanuele Bevacqua Peter Watson Sarah Sparrow David Wallom 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 ensemble were obtained through perturbing the initial conditions of each ensemble member on November 1st. For more details, see the description in Watson et al. (2020), who present the dataset, and in Bevacqua et al. (2021) where the dataset was used to study the spatial footprint of wintertime precipitation extremes. IMPORTANT: Note that a small fraction of the ensemble members is repeated in the dataset. Duplicates should be identified (for example, via the function duplicated() in the R software) and removed prior to any analysis. 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 |
Emanuele Bevacqua Peter Watson Sarah Sparrow David Wallom |
author_facet |
Emanuele Bevacqua Peter Watson Sarah Sparrow David Wallom |
author_sort |
Emanuele Bevacqua |
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 |
publishDate |
2020 |
url |
https://zenodo.org/record/4311221 https://doi.org/10.5281/zenodo.4311221 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
doi:10.5281/zenodo.4311220 https://zenodo.org/record/4311221 https://doi.org/10.5281/zenodo.4311221 oai:zenodo.org:4311221 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.431122110.5281/zenodo.4311220 |
_version_ |
1767948921287475200 |