optimalcores: An R software project to analyse optimal ice core locations in a climate model simulation
optimalcores is an R software project to analyse the temperature and isotope time series in an isotope-enabled climate model simulation; specifically, the ECHAM5/MPI-OM-wiso past1000 climate model run can be analysed, but also any other suited model run. The software is especially intended to determ...
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ftzenodo:oai:zenodo.org:5075439 2023-05-15T13:42:34+02:00 optimalcores: An R software project to analyse optimal ice core locations in a climate model simulation Thomas Münch 2021-07-06 https://zenodo.org/record/5075439 https://doi.org/10.5281/zenodo.5075439 unknown doi:10.5194/cp-17-1587-2021 https://github.com/EarthSystemDiagnostics/optimalcores/tree/v1.0.0 doi:10.5281/zenodo.4001565 doi:10.5281/zenodo.5075438 https://zenodo.org/record/5075439 https://doi.org/10.5281/zenodo.5075439 oai:zenodo.org:5075439 info:eu-repo/semantics/openAccess info:eu-repo/semantics/other software 2021 ftzenodo https://doi.org/10.5281/zenodo.507543910.5194/cp-17-1587-202110.5281/zenodo.400156510.5281/zenodo.5075438 2023-03-11T01:56:01Z optimalcores is an R software project to analyse the temperature and isotope time series in an isotope-enabled climate model simulation; specifically, the ECHAM5/MPI-OM-wiso past1000 climate model run can be analysed, but also any other suited model run. The software is especially intended to determine optimal spatial sampling configurations for Antarctic ice cores which maximize the correlation with a target site temperature time series. Version 1.0.0 of the software is released along with the publication Münch, Werner and Laepple: How precipitation intermittency sets an optimal sampling distance for temperature reconstructions from Antarctic ice cores, Clim. Past, 17, 1587–1605, 2021. Software Antarc* Antarctic ice core Zenodo Antarctic |
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description |
optimalcores is an R software project to analyse the temperature and isotope time series in an isotope-enabled climate model simulation; specifically, the ECHAM5/MPI-OM-wiso past1000 climate model run can be analysed, but also any other suited model run. The software is especially intended to determine optimal spatial sampling configurations for Antarctic ice cores which maximize the correlation with a target site temperature time series. Version 1.0.0 of the software is released along with the publication Münch, Werner and Laepple: How precipitation intermittency sets an optimal sampling distance for temperature reconstructions from Antarctic ice cores, Clim. Past, 17, 1587–1605, 2021. |
format |
Software |
author |
Thomas Münch |
spellingShingle |
Thomas Münch optimalcores: An R software project to analyse optimal ice core locations in a climate model simulation |
author_facet |
Thomas Münch |
author_sort |
Thomas Münch |
title |
optimalcores: An R software project to analyse optimal ice core locations in a climate model simulation |
title_short |
optimalcores: An R software project to analyse optimal ice core locations in a climate model simulation |
title_full |
optimalcores: An R software project to analyse optimal ice core locations in a climate model simulation |
title_fullStr |
optimalcores: An R software project to analyse optimal ice core locations in a climate model simulation |
title_full_unstemmed |
optimalcores: An R software project to analyse optimal ice core locations in a climate model simulation |
title_sort |
optimalcores: an r software project to analyse optimal ice core locations in a climate model simulation |
publishDate |
2021 |
url |
https://zenodo.org/record/5075439 https://doi.org/10.5281/zenodo.5075439 |
geographic |
Antarctic |
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Antarctic |
genre |
Antarc* Antarctic ice core |
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Antarc* Antarctic ice core |
op_relation |
doi:10.5194/cp-17-1587-2021 https://github.com/EarthSystemDiagnostics/optimalcores/tree/v1.0.0 doi:10.5281/zenodo.4001565 doi:10.5281/zenodo.5075438 https://zenodo.org/record/5075439 https://doi.org/10.5281/zenodo.5075439 oai:zenodo.org:5075439 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.507543910.5194/cp-17-1587-202110.5281/zenodo.400156510.5281/zenodo.5075438 |
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1766169780915535872 |