10 member ensemble of HadCM3 simulations
Numerical climate output from the HadCM3 climate model simulation runs produced for the ERC funded TITAN project covering the time period 1780-2009 . These data were produced by Andrew Schurer, using the HadCM3 climate model on the EDDIE supercomputer at the University of Edinburgh and the forcings...
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University of Edinburgh. School of GeoSciences
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ftuedinburgheds:oai:datashare.ed.ac.uk:10283/4829 2023-07-30T04:05:29+02:00 10 member ensemble of HadCM3 simulations Schurer, Andrew Mineter, Michael Tett, Simon ERC - European Research Council Schurer, Andrew start=1780-12-01; end=2009-12-30; scheme=W3C-DTF 2023-03-23T11:35:40Z application/x-netcdf text/plain https://hdl.handle.net/10283/4829 https://doi.org/10.7488/ds/3827 eng eng University of Edinburgh. School of GeoSciences https://boris.unibe.ch/131129/. https://doi.org/10.1038/s41561-019-0402-y https://doi.org/10.5194/cp-2022-55 https://doi.org/10.1088/1748-9326/acc477 Schurer, Andrew; Mineter, Michael; Tett, Simon. (2023). 10 member ensemble of HadCM3 simulations, 1780-2009 [dataset]. University of Edinburgh. School of GeoSciences. https://doi.org/10.7488/ds/3827. https://hdl.handle.net/10283/4829 https://doi.org/10.7488/ds/3827 Creative Commons Attribution 4.0 International Public License Climate model simulations Early instrumental period HadCM3 dataset 2023 ftuedinburgheds https://doi.org/10.7488/ds/382710.1038/s41561-019-0402-y10.5194/cp-2022-5510.1088/1748-9326/acc477 2023-07-09T20:29:03Z Numerical climate output from the HadCM3 climate model simulation runs produced for the ERC funded TITAN project covering the time period 1780-2009 . These data were produced by Andrew Schurer, using the HadCM3 climate model on the EDDIE supercomputer at the University of Edinburgh and the forcings follow the CMIP5 convention. The data is at monthly resolution and is mainly in NetDCF format. Due to a data processing error only data for 9 ensemble members exist for the AMOC and the sea ice coverage fields. The model data was first described and used in the publication: Brönnimann, S., Franke, J., Nussbaumer, S.U. et al. Last phase of the Little Ice Age forced by volcanic eruptions. Nat. Geosci. 12, 650–656 (2019). https://doi.org/10.1038/s41561-019-0402-y. And was then used in the particle filter experiments: Schurer, A. P., Hegerl, G. C., Goosse, H., Bollasina, M. A., England, M. H., Mineter, M. J., Smith, D. M., and Tett, S. F. B. (2023): Quantifying the contribution of forcing and three prominent modes of variability on historical climate, Clim. Past Discuss. And. Schurer, A., Hegerl, G. C., Goosse, H., Bollasina, M. A., England, M. H., Smith, D., & Tett, S. F. (2023). Role of multi-decadal variability of the winter North Atlantic oscillation on northern hemisphere climate. Environmental Research Letters. Dataset North Atlantic North Atlantic oscillation Sea ice Edinburgh DataShare (University of Edinburgh) |
institution |
Open Polar |
collection |
Edinburgh DataShare (University of Edinburgh) |
op_collection_id |
ftuedinburgheds |
language |
English |
topic |
Climate model simulations Early instrumental period HadCM3 |
spellingShingle |
Climate model simulations Early instrumental period HadCM3 Schurer, Andrew Mineter, Michael Tett, Simon 10 member ensemble of HadCM3 simulations |
topic_facet |
Climate model simulations Early instrumental period HadCM3 |
description |
Numerical climate output from the HadCM3 climate model simulation runs produced for the ERC funded TITAN project covering the time period 1780-2009 . These data were produced by Andrew Schurer, using the HadCM3 climate model on the EDDIE supercomputer at the University of Edinburgh and the forcings follow the CMIP5 convention. The data is at monthly resolution and is mainly in NetDCF format. Due to a data processing error only data for 9 ensemble members exist for the AMOC and the sea ice coverage fields. The model data was first described and used in the publication: Brönnimann, S., Franke, J., Nussbaumer, S.U. et al. Last phase of the Little Ice Age forced by volcanic eruptions. Nat. Geosci. 12, 650–656 (2019). https://doi.org/10.1038/s41561-019-0402-y. And was then used in the particle filter experiments: Schurer, A. P., Hegerl, G. C., Goosse, H., Bollasina, M. A., England, M. H., Mineter, M. J., Smith, D. M., and Tett, S. F. B. (2023): Quantifying the contribution of forcing and three prominent modes of variability on historical climate, Clim. Past Discuss. And. Schurer, A., Hegerl, G. C., Goosse, H., Bollasina, M. A., England, M. H., Smith, D., & Tett, S. F. (2023). Role of multi-decadal variability of the winter North Atlantic oscillation on northern hemisphere climate. Environmental Research Letters. |
author2 |
ERC - European Research Council Schurer, Andrew |
format |
Dataset |
author |
Schurer, Andrew Mineter, Michael Tett, Simon |
author_facet |
Schurer, Andrew Mineter, Michael Tett, Simon |
author_sort |
Schurer, Andrew |
title |
10 member ensemble of HadCM3 simulations |
title_short |
10 member ensemble of HadCM3 simulations |
title_full |
10 member ensemble of HadCM3 simulations |
title_fullStr |
10 member ensemble of HadCM3 simulations |
title_full_unstemmed |
10 member ensemble of HadCM3 simulations |
title_sort |
10 member ensemble of hadcm3 simulations |
publisher |
University of Edinburgh. School of GeoSciences |
publishDate |
2023 |
url |
https://hdl.handle.net/10283/4829 https://doi.org/10.7488/ds/3827 |
op_coverage |
start=1780-12-01; end=2009-12-30; scheme=W3C-DTF |
genre |
North Atlantic North Atlantic oscillation Sea ice |
genre_facet |
North Atlantic North Atlantic oscillation Sea ice |
op_relation |
https://boris.unibe.ch/131129/. https://doi.org/10.1038/s41561-019-0402-y https://doi.org/10.5194/cp-2022-55 https://doi.org/10.1088/1748-9326/acc477 Schurer, Andrew; Mineter, Michael; Tett, Simon. (2023). 10 member ensemble of HadCM3 simulations, 1780-2009 [dataset]. University of Edinburgh. School of GeoSciences. https://doi.org/10.7488/ds/3827. https://hdl.handle.net/10283/4829 https://doi.org/10.7488/ds/3827 |
op_rights |
Creative Commons Attribution 4.0 International Public License |
op_doi |
https://doi.org/10.7488/ds/382710.1038/s41561-019-0402-y10.5194/cp-2022-5510.1088/1748-9326/acc477 |
_version_ |
1772817441021231104 |