Subpolar ocean variability analysis using DePreSys4 hindcast output ...

The dataset contains python scripts and pre-processed data, which was generated using DePreSys4 Met Office ensemble hindcast output. These scripts were used to create a subset of ensemble members based on seasonal NAO indices. The approach could be used to perform an ensemble-composite analysis to e...

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Bibliographic Details
Main Author: Khatri, Hemant
Format: Dataset
Language:unknown
Published: Zenodo 2022
Subjects:
Meridional overturning circulation in the subpolar North Atlantic
North Atlantic oscillation
Climate model ensemble hindcast
North Atlantic
Online Access:https://dx.doi.org/10.5281/zenodo.7096230
https://zenodo.org/record/7096230
id ftdatacite:10.5281/zenodo.7096230
record_format openpolar
spelling ftdatacite:10.5281/zenodo.7096230 2023-06-11T04:14:15+02:00 Subpolar ocean variability analysis using DePreSys4 hindcast output ... Khatri, Hemant 2022 https://dx.doi.org/10.5281/zenodo.7096230 https://zenodo.org/record/7096230 unknown Zenodo https://dx.doi.org/10.5281/zenodo.7096231 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 Meridional overturning circulation in the subpolar North Atlantic North Atlantic oscillation Climate model ensemble hindcast Dataset dataset 2022 ftdatacite https://doi.org/10.5281/zenodo.709623010.5281/zenodo.7096231 2023-06-01T11:27:46Z The dataset contains python scripts and pre-processed data, which was generated using DePreSys4 Met Office ensemble hindcast output. These scripts were used to create a subset of ensemble members based on seasonal NAO indices. The approach could be used to perform an ensemble-composite analysis to examine the impacts of NAO forcing on the ocean circulation in the subpolar North Atlantic ocean. ... Dataset North Atlantic North Atlantic oscillation DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Meridional overturning circulation in the subpolar North Atlantic
North Atlantic oscillation
Climate model ensemble hindcast
spellingShingle Meridional overturning circulation in the subpolar North Atlantic
North Atlantic oscillation
Climate model ensemble hindcast
Khatri, Hemant
Subpolar ocean variability analysis using DePreSys4 hindcast output ...
topic_facet Meridional overturning circulation in the subpolar North Atlantic
North Atlantic oscillation
Climate model ensemble hindcast
description The dataset contains python scripts and pre-processed data, which was generated using DePreSys4 Met Office ensemble hindcast output. These scripts were used to create a subset of ensemble members based on seasonal NAO indices. The approach could be used to perform an ensemble-composite analysis to examine the impacts of NAO forcing on the ocean circulation in the subpolar North Atlantic ocean. ...
format Dataset
author Khatri, Hemant
author_facet Khatri, Hemant
author_sort Khatri, Hemant
title Subpolar ocean variability analysis using DePreSys4 hindcast output ...
title_short Subpolar ocean variability analysis using DePreSys4 hindcast output ...
title_full Subpolar ocean variability analysis using DePreSys4 hindcast output ...
title_fullStr Subpolar ocean variability analysis using DePreSys4 hindcast output ...
title_full_unstemmed Subpolar ocean variability analysis using DePreSys4 hindcast output ...
title_sort subpolar ocean variability analysis using depresys4 hindcast output ...
publisher Zenodo
publishDate 2022
url https://dx.doi.org/10.5281/zenodo.7096230
https://zenodo.org/record/7096230
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation https://dx.doi.org/10.5281/zenodo.7096231
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_doi https://doi.org/10.5281/zenodo.709623010.5281/zenodo.7096231
_version_ 1768392147496599552

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