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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Bibliographic Details
Main Author: Münch, Thomas
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2021
Subjects:
Antarctic
Antarc*
ice core
Online Access:https://dx.doi.org/10.5281/zenodo.5075439
https://zenodo.org/record/5075439
id ftdatacite:10.5281/zenodo.5075439
record_format openpolar
spelling ftdatacite:10.5281/zenodo.5075439 2023-05-15T13:44:53+02:00 optimalcores: An R software project to analyse optimal ice core locations in a climate model simulation Münch, Thomas 2021 https://dx.doi.org/10.5281/zenodo.5075439 https://zenodo.org/record/5075439 unknown Zenodo https://github.com/EarthSystemDiagnostics/optimalcores/tree/v1.0.0 https://dx.doi.org/10.5194/cp-17-1587-2021 https://github.com/EarthSystemDiagnostics/optimalcores/tree/v1.0.0 https://dx.doi.org/10.5281/zenodo.4001565 https://dx.doi.org/10.5281/zenodo.5075438 Open Access info:eu-repo/semantics/openAccess Software SoftwareSourceCode article 2021 ftdatacite https://doi.org/10.5281/zenodo.5075439 https://doi.org/10.5194/cp-17-1587-2021 https://doi.org/10.5281/zenodo.4001565 https://doi.org/10.5281/zenodo.5075438 2021-11-05T12:55:41Z 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. Article in Journal/Newspaper Antarc* Antarctic ice core DataCite Metadata Store (German National Library of Science and Technology) Antarctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
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 Article in Journal/Newspaper
author Münch, Thomas
spellingShingle Münch, Thomas
optimalcores: An R software project to analyse optimal ice core locations in a climate model simulation
author_facet Münch, Thomas
author_sort Münch, Thomas
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
publisher Zenodo
publishDate 2021
url https://dx.doi.org/10.5281/zenodo.5075439
https://zenodo.org/record/5075439
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
ice core
genre_facet Antarc*
Antarctic
ice core
op_relation https://github.com/EarthSystemDiagnostics/optimalcores/tree/v1.0.0
https://dx.doi.org/10.5194/cp-17-1587-2021
https://github.com/EarthSystemDiagnostics/optimalcores/tree/v1.0.0
https://dx.doi.org/10.5281/zenodo.4001565
https://dx.doi.org/10.5281/zenodo.5075438
op_rights Open Access
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.5075439
https://doi.org/10.5194/cp-17-1587-2021
https://doi.org/10.5281/zenodo.4001565
https://doi.org/10.5281/zenodo.5075438
_version_ 1766208150311010304

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