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: Hemant Khatri
Other Authors: Richard G. Williams, Tim Woollings, Doug M. Smith
Format: Other/Unknown Material
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://doi.org/10.5281/zenodo.7096231
id ftzenodo:oai:zenodo.org:7096231
record_format openpolar
spelling ftzenodo:oai:zenodo.org:7096231 2024-09-15T18:20:47+00:00 Subpolar ocean variability analysis using DePreSys4 hindcast output Hemant Khatri Richard G. Williams Tim Woollings Doug M. Smith 2022-09-20 https://doi.org/10.5281/zenodo.7096231 unknown Zenodo https://doi.org/10.5281/zenodo.7096230 https://doi.org/10.5281/zenodo.7096231 oai:zenodo.org:7096231 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Fast and Slow Subpolar Ocean Responses to the North Atlantic Oscillation: Thermal and Dynamical Changes, 49(24), e2022GL101480, (2022-09-20) Meridional overturning circulation in the subpolar North Atlantic North Atlantic oscillation Climate model ensemble hindcast info:eu-repo/semantics/other 2022 ftzenodo https://doi.org/10.5281/zenodo.709623110.5281/zenodo.7096230 2024-07-25T19:13:20Z 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 examinethe impacts of NAO forcing onthe ocean circulation in the subpolar North Atlantic ocean. Other/Unknown Material North Atlantic North Atlantic oscillation Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
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
Hemant Khatri
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 examinethe impacts of NAO forcing onthe ocean circulation in the subpolar North Atlantic ocean.
author2 Richard G. Williams
Tim Woollings
Doug M. Smith
format Other/Unknown Material
author Hemant Khatri
author_facet Hemant Khatri
author_sort Hemant Khatri
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://doi.org/10.5281/zenodo.7096231
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Fast and Slow Subpolar Ocean Responses to the North Atlantic Oscillation: Thermal and Dynamical Changes, 49(24), e2022GL101480, (2022-09-20)
op_relation https://doi.org/10.5281/zenodo.7096230
https://doi.org/10.5281/zenodo.7096231
oai:zenodo.org:7096231
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.709623110.5281/zenodo.7096230
_version_ 1810459177500278784

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