Python-code: Large-scale sea ice – surface temperature variability linked to Atlantic Meridional Overturning Circulation

This is the Python-Code that was used to obtain the results that are presented in the paper "Large-scale sea ice – surface temperature variability linked to Atlantic Meridional Overturning Circulation" (currently in review at PlosOne). Statistical methods for the description of coupled sea...

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Main Authors: Vaideanu Petru, Lohmann Gerrit, Stepanek Christian, Schrepfer Jule, Dima Mihai, Matos Fernanda, Ionita Monica
Format: Software
Language:unknown
Published: 2023
Subjects:
Online Access:https://zenodo.org/record/7779270
https://doi.org/10.5281/zenodo.7779270
id ftzenodo:oai:zenodo.org:7779270
record_format openpolar
spelling ftzenodo:oai:zenodo.org:7779270 2023-05-15T18:16:21+02:00 Python-code: Large-scale sea ice – surface temperature variability linked to Atlantic Meridional Overturning Circulation Vaideanu Petru Lohmann Gerrit Stepanek Christian Schrepfer Jule Dima Mihai Matos Fernanda Ionita Monica 2023-03-28 https://zenodo.org/record/7779270 https://doi.org/10.5281/zenodo.7779270 unknown doi:10.5281/zenodo.7779269 https://zenodo.org/record/7779270 https://doi.org/10.5281/zenodo.7779270 oai:zenodo.org:7779270 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/1.0/legalcode info:eu-repo/semantics/other software 2023 ftzenodo https://doi.org/10.5281/zenodo.777927010.5281/zenodo.7779269 2023-04-04T22:55:01Z This is the Python-Code that was used to obtain the results that are presented in the paper "Large-scale sea ice – surface temperature variability linked to Atlantic Meridional Overturning Circulation" (currently in review at PlosOne). Statistical methods for the description of coupled sea surface temperature - sea ice large-scale interactions are presented, and they are applied to observations, reanalysis, and earth system model data. Software Sea ice Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description This is the Python-Code that was used to obtain the results that are presented in the paper "Large-scale sea ice – surface temperature variability linked to Atlantic Meridional Overturning Circulation" (currently in review at PlosOne). Statistical methods for the description of coupled sea surface temperature - sea ice large-scale interactions are presented, and they are applied to observations, reanalysis, and earth system model data.
format Software
author Vaideanu Petru
Lohmann Gerrit
Stepanek Christian
Schrepfer Jule
Dima Mihai
Matos Fernanda
Ionita Monica
spellingShingle Vaideanu Petru
Lohmann Gerrit
Stepanek Christian
Schrepfer Jule
Dima Mihai
Matos Fernanda
Ionita Monica
Python-code: Large-scale sea ice – surface temperature variability linked to Atlantic Meridional Overturning Circulation
author_facet Vaideanu Petru
Lohmann Gerrit
Stepanek Christian
Schrepfer Jule
Dima Mihai
Matos Fernanda
Ionita Monica
author_sort Vaideanu Petru
title Python-code: Large-scale sea ice – surface temperature variability linked to Atlantic Meridional Overturning Circulation
title_short Python-code: Large-scale sea ice – surface temperature variability linked to Atlantic Meridional Overturning Circulation
title_full Python-code: Large-scale sea ice – surface temperature variability linked to Atlantic Meridional Overturning Circulation
title_fullStr Python-code: Large-scale sea ice – surface temperature variability linked to Atlantic Meridional Overturning Circulation
title_full_unstemmed Python-code: Large-scale sea ice – surface temperature variability linked to Atlantic Meridional Overturning Circulation
title_sort python-code: large-scale sea ice – surface temperature variability linked to atlantic meridional overturning circulation
publishDate 2023
url https://zenodo.org/record/7779270
https://doi.org/10.5281/zenodo.7779270
genre Sea ice
genre_facet Sea ice
op_relation doi:10.5281/zenodo.7779269
https://zenodo.org/record/7779270
https://doi.org/10.5281/zenodo.7779270
oai:zenodo.org:7779270
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/1.0/legalcode
op_doi https://doi.org/10.5281/zenodo.777927010.5281/zenodo.7779269
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