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.4311220 https://zenodo.org/record/4311220 |
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ftdatacite:10.5281/zenodo.4311220 2023-05-15T18:19:01+02:00 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.4311220 https://zenodo.org/record/4311220 unknown Zenodo https://dx.doi.org/10.5281/zenodo.4311221 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 CC-BY 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.4311220 https://doi.org/10.5281/zenodo.4311221 2021-11-05T12:55:41Z 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. : {"references": ["Bevacqua, E., Shepherd, T.G., Watson, P.A.G., Sparrow, S., Wallom, D., and Mitchell, D.: Larger spatial footprint of wintertime total precipitation extremes in a warmer climate, In review, 2021.", "Mitchell, D., AchutaRao, K., Allen, M., Bethke, I., Beyerle, U., Ciavarella, A., Forster, P. M., Fuglestvedt, J., Gillett, N., Haustein, K., Ingram, W., Iversen, T., Kharin, V., Klingaman, N., Massey, N., Fischer, E., Schleussner, C.-F., Scinocca, J., Seland, \u00d8., Shiogama, H., Shuckburgh, E., Sparrow, S., Stone, D., Uhe, P., Wallom, D., Wehner, M., and Zaaboul, R.: Half a degree additional warming, prognosis and projected impacts (HAPPI): background and experimental design, Geosci. Model Dev., 10, 571\u2013583, https://doi.org/10.5194/gmd-10-571-2017, 2017.", "Watson, P., Sparrow, S., Ingram, W., Wilson, S., Marie, D., Zappa, G., Jones, R., Mitchell, D., Woollings, T., and Allen, M.: Multi-thousand member ensemble atmospheric simulations with global 60km resolution using climateprediction.net, EGU General Assembly 2020, Online, 4\u20138 May 2020, EGU2020-10895, https://doi.org/10.5194/egusphere-egu2020-10895, 2020.", "Williams, K., Ringer, M., & Senior, C.: Evaluating the cloud response to climate change and current climate variability. Climate Dynamics, 20 (7-8), 705-721, 2003."]} Dataset Sea ice DataCite Metadata Store (German National Library of Science and Technology) Ringer ENVELOPE(162.050,162.050,-77.250,-77.250) |
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 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. : {"references": ["Bevacqua, E., Shepherd, T.G., Watson, P.A.G., Sparrow, S., Wallom, D., and Mitchell, D.: Larger spatial footprint of wintertime total precipitation extremes in a warmer climate, In review, 2021.", "Mitchell, D., AchutaRao, K., Allen, M., Bethke, I., Beyerle, U., Ciavarella, A., Forster, P. M., Fuglestvedt, J., Gillett, N., Haustein, K., Ingram, W., Iversen, T., Kharin, V., Klingaman, N., Massey, N., Fischer, E., Schleussner, C.-F., Scinocca, J., Seland, \u00d8., Shiogama, H., Shuckburgh, E., Sparrow, S., Stone, D., Uhe, P., Wallom, D., Wehner, M., and Zaaboul, R.: Half a degree additional warming, prognosis and projected impacts (HAPPI): background and experimental design, Geosci. Model Dev., 10, 571\u2013583, https://doi.org/10.5194/gmd-10-571-2017, 2017.", "Watson, P., Sparrow, S., Ingram, W., Wilson, S., Marie, D., Zappa, G., Jones, R., Mitchell, D., Woollings, T., and Allen, M.: Multi-thousand member ensemble atmospheric simulations with global 60km resolution using climateprediction.net, EGU General Assembly 2020, Online, 4\u20138 May 2020, EGU2020-10895, https://doi.org/10.5194/egusphere-egu2020-10895, 2020.", "Williams, K., Ringer, M., & Senior, C.: Evaluating the cloud response to climate change and current climate variability. Climate Dynamics, 20 (7-8), 705-721, 2003."]} |
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.4311220 https://zenodo.org/record/4311220 |
long_lat |
ENVELOPE(162.050,162.050,-77.250,-77.250) |
geographic |
Ringer |
geographic_facet |
Ringer |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://dx.doi.org/10.5281/zenodo.4311221 |
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_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.4311220 https://doi.org/10.5281/zenodo.4311221 |
_version_ |
1766195847411793920 |