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 sub...

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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: 2020
Subjects:
ice
CAO
Online Access:https://zenodo.org/record/4868752
https://doi.org/10.5281/zenodo.4868752
id ftzenodo:oai:zenodo.org:4868752
record_format openpolar
spelling ftzenodo:oai:zenodo.org:4868752 2023-05-15T14:48:44+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. 2020-08-25 https://zenodo.org/record/4868752 https://doi.org/10.5281/zenodo.4868752 eng eng doi:10.5281/zenodo.1118997 https://zenodo.org/record/4868752 https://doi.org/10.5281/zenodo.4868752 oai:zenodo.org:4868752 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Arctic ice ocean surface drift particle Lagrangian flow coherent structure predictability dispersion pollution polar NEMO ARIANE IceTrack MOSAiC APEAR CAO info:eu-repo/semantics/other dataset 2020 ftzenodo https://doi.org/10.5281/zenodo.486875210.5281/zenodo.1118997 2023-03-11T00:20:39Z 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 ... Dataset Arctic Arctic Ocean Sea ice Zenodo Arctic Arctic Ocean Archer ENVELOPE(162.867,162.867,-76.850,-76.850)
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
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 ...
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"
publishDate 2020
url https://zenodo.org/record/4868752
https://doi.org/10.5281/zenodo.4868752
long_lat ENVELOPE(162.867,162.867,-76.850,-76.850)
geographic Arctic
Arctic Ocean
Archer
geographic_facet Arctic
Arctic Ocean
Archer
genre Arctic
Arctic Ocean
Sea ice
genre_facet Arctic
Arctic Ocean
Sea ice
op_relation doi:10.5281/zenodo.1118997
https://zenodo.org/record/4868752
https://doi.org/10.5281/zenodo.4868752
oai:zenodo.org:4868752
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.486875210.5281/zenodo.1118997
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