Particle tracking and Lagrangian statistics related to: "Significant variability of structure and predictability of Arctic Ocean surface pathways affects basin-wide connectivity"

These files are related to a study of surface drift in the Arctic ocean. See the accompanying journal paper for more info or contact Chris Wilson (cwi@noc.ac.uk). More details are given in README.txt. : Acknowledgements This work resulted from the Advective Pathways of nutrients and key Ecological s...

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Bibliographic Details
Main Authors: Wilson, Chris, Aksenov, Yevgeny, Rynders, Stefanie, Kelly, Stephen, Krumpen, Thomas, Coward, Andrew C.
Format: Dataset
Language:English
Published: Zenodo 2020
Subjects:
ice
CAO
Online Access:https://dx.doi.org/10.5281/zenodo.1118997
https://zenodo.org/record/1118997
id ftdatacite:10.5281/zenodo.1118997
record_format openpolar
spelling ftdatacite:10.5281/zenodo.1118997 2023-05-15T14:49:54+02:00 Particle tracking and Lagrangian statistics related to: "Significant variability of structure and predictability of Arctic Ocean surface pathways affects basin-wide connectivity" Wilson, Chris Aksenov, Yevgeny Rynders, Stefanie Kelly, Stephen Krumpen, Thomas Coward, Andrew C. 2020 https://dx.doi.org/10.5281/zenodo.1118997 https://zenodo.org/record/1118997 en eng Zenodo https://dx.doi.org/10.5281/zenodo.1118998 https://dx.doi.org/10.5281/zenodo.4868752 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 CC-BY Arctic ice ocean surface drift particle Lagrangian flow coherent structure predictability dispersion pollution polar NEMO ARIANE IceTrack MOSAiC APEAR CAO dataset Dataset 2020 ftdatacite https://doi.org/10.5281/zenodo.1118997 https://doi.org/10.5281/zenodo.1118998 https://doi.org/10.5281/zenodo.4868752 2021-11-05T12:55:41Z These files are related to a study of surface drift in the Arctic ocean. See the accompanying journal paper for more info or contact Chris Wilson (cwi@noc.ac.uk). More details are given in README.txt. : Acknowledgements This work resulted from the Advective Pathways of nutrients and key Ecological substances in the Arctic (APEAR) project (NE/R012865/1, NE/R012865/2, #03V01461), part of the Changing Arctic Ocean programme, jointly funded by the UKRI Natural Environment Research Council (NERC) and the German Federal Ministry of Education and Research (BMBF). This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 820989 (project COMFORT, Our common future ocean in the Earth system – quantifying coupled cycles of carbon, oxygen, and nutrients for determining and achieving safe operating spaces with respect to tipping points).The work reflects only the authors' view; the European Commission and their executive agency are not responsible for any use that may be made of the information the work contains. This work also used the ARCHER UK National Supercomputing Service and JASMIN, the UK collaborative data analysis facility. Satellite-based sea ice tracking was carried out as part of the Russian-German Research Cooperation QUARCCS funded by the German Ministry for Education and Research (BMBF) under grant 03F0777A. This study was carried out as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 (AWI_PS122_1 and AF-MOSAiC-1_00) and the NERC Project "PRE-MELT" (Grant NE/T000546/1=). The schematic of the ESAS in Figure 1 was adapted with permission granted by GRID-Arendal from a version downloaded on 11 Feb 2020 (see https://www.grida.no/resources/6617; persistent archived version at https://web.archive.org/web/20191018051919/http://www.grida.no/resources/6617 ). The authors would like to dedicate this paper to Maria Luneva, who enthusiastically contributed to the discussions of the initial idea of the paper and the history of the Russian North Pole drifting stations in the context of this study, but sadly passed away suddenly in 2019 before the draft of the paper was written. Dataset Arctic Arctic Ocean North Pole Russian North Sea ice DataCite Metadata Store (German National Library of Science and Technology) Archer ENVELOPE(162.867,162.867,-76.850,-76.850) Arctic Arctic Ocean North Pole
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Arctic
ice
ocean
surface
drift
particle
Lagrangian
flow
coherent
structure
predictability
dispersion
pollution
polar
NEMO
ARIANE
IceTrack
MOSAiC
APEAR
CAO
spellingShingle Arctic
ice
ocean
surface
drift
particle
Lagrangian
flow
coherent
structure
predictability
dispersion
pollution
polar
NEMO
ARIANE
IceTrack
MOSAiC
APEAR
CAO
Wilson, Chris
Aksenov, Yevgeny
Rynders, Stefanie
Kelly, Stephen
Krumpen, Thomas
Coward, Andrew C.
Particle tracking and Lagrangian statistics related to: "Significant variability of structure and predictability of Arctic Ocean surface pathways affects basin-wide connectivity"
topic_facet Arctic
ice
ocean
surface
drift
particle
Lagrangian
flow
coherent
structure
predictability
dispersion
pollution
polar
NEMO
ARIANE
IceTrack
MOSAiC
APEAR
CAO
description These files are related to a study of surface drift in the Arctic ocean. See the accompanying journal paper for more info or contact Chris Wilson (cwi@noc.ac.uk). More details are given in README.txt. : Acknowledgements This work resulted from the Advective Pathways of nutrients and key Ecological substances in the Arctic (APEAR) project (NE/R012865/1, NE/R012865/2, #03V01461), part of the Changing Arctic Ocean programme, jointly funded by the UKRI Natural Environment Research Council (NERC) and the German Federal Ministry of Education and Research (BMBF). This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 820989 (project COMFORT, Our common future ocean in the Earth system – quantifying coupled cycles of carbon, oxygen, and nutrients for determining and achieving safe operating spaces with respect to tipping points).The work reflects only the authors' view; the European Commission and their executive agency are not responsible for any use that may be made of the information the work contains. This work also used the ARCHER UK National Supercomputing Service and JASMIN, the UK collaborative data analysis facility. Satellite-based sea ice tracking was carried out as part of the Russian-German Research Cooperation QUARCCS funded by the German Ministry for Education and Research (BMBF) under grant 03F0777A. This study was carried out as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 (AWI_PS122_1 and AF-MOSAiC-1_00) and the NERC Project "PRE-MELT" (Grant NE/T000546/1=). The schematic of the ESAS in Figure 1 was adapted with permission granted by GRID-Arendal from a version downloaded on 11 Feb 2020 (see https://www.grida.no/resources/6617; persistent archived version at https://web.archive.org/web/20191018051919/http://www.grida.no/resources/6617 ). The authors would like to dedicate this paper to Maria Luneva, who enthusiastically contributed to the discussions of the initial idea of the paper and the history of the Russian North Pole drifting stations in the context of this study, but sadly passed away suddenly in 2019 before the draft of the paper was written.
format Dataset
author Wilson, Chris
Aksenov, Yevgeny
Rynders, Stefanie
Kelly, Stephen
Krumpen, Thomas
Coward, Andrew C.
author_facet Wilson, Chris
Aksenov, Yevgeny
Rynders, Stefanie
Kelly, Stephen
Krumpen, Thomas
Coward, Andrew C.
author_sort Wilson, Chris
title Particle tracking and Lagrangian statistics related to: "Significant variability of structure and predictability of Arctic Ocean surface pathways affects basin-wide connectivity"
title_short Particle tracking and Lagrangian statistics related to: "Significant variability of structure and predictability of Arctic Ocean surface pathways affects basin-wide connectivity"
title_full Particle tracking and Lagrangian statistics related to: "Significant variability of structure and predictability of Arctic Ocean surface pathways affects basin-wide connectivity"
title_fullStr Particle tracking and Lagrangian statistics related to: "Significant variability of structure and predictability of Arctic Ocean surface pathways affects basin-wide connectivity"
title_full_unstemmed Particle tracking and Lagrangian statistics related to: "Significant variability of structure and predictability of Arctic Ocean surface pathways affects basin-wide connectivity"
title_sort particle tracking and lagrangian statistics related to: "significant variability of structure and predictability of arctic ocean surface pathways affects basin-wide connectivity"
publisher Zenodo
publishDate 2020
url https://dx.doi.org/10.5281/zenodo.1118997
https://zenodo.org/record/1118997
long_lat ENVELOPE(162.867,162.867,-76.850,-76.850)
geographic Archer
Arctic
Arctic Ocean
North Pole
geographic_facet Archer
Arctic
Arctic Ocean
North Pole
genre Arctic
Arctic Ocean
North Pole
Russian North
Sea ice
genre_facet Arctic
Arctic Ocean
North Pole
Russian North
Sea ice
op_relation https://dx.doi.org/10.5281/zenodo.1118998
https://dx.doi.org/10.5281/zenodo.4868752
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_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.1118997
https://doi.org/10.5281/zenodo.1118998
https://doi.org/10.5281/zenodo.4868752
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