Backward particle trajectories used to estimate the pathways of settling aggregates measured at stations N, HG and EG in Fram Strait
To investigate the pathways of settling aggregates in ice-covered and ice-free regions in Fram Strait, we used a Lagrangian particle tracking algorithm and computed backward particle trajectories. Particles were advected with daily averaged model velocities from the ocean-sea ice model FESOM. The co...
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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.928251 2024-09-15T17:51:08+00:00 Backward particle trajectories used to estimate the pathways of settling aggregates measured at stations N, HG and EG in Fram Strait Wekerle, Claudia MEDIAN LATITUDE: 79.203333 * MEDIAN LONGITUDE: 1.988667 * SOUTH-BOUND LATITUDE: 78.810000 * WEST-BOUND LONGITUDE: -2.729000 * NORTH-BOUND LATITUDE: 79.740000 * EAST-BOUND LONGITUDE: 4.510000 2021 text/tab-separated-values, 18 data points https://doi.pangaea.de/10.1594/PANGAEA.928251 https://doi.org/10.1594/PANGAEA.928251 en eng PANGAEA Fadeev, Eduard; Rogge, Andreas; Ramondenc, Simon; Nöthig, Eva-Maria; Wekerle, Claudia; Bienhold, Christina; Salter, Ian; Waite, Anya M; Hehemann, Laura; Boetius, Antje; Iversen, Morten Hvitfeldt (2021): Sea ice presence is linked to higher carbon export and vertical microbial connectivity in the Eurasian Arctic Ocean. Communications Biology, 4(1), 1255, https://doi.org/10.1038/s42003-021-02776-w https://doi.pangaea.de/10.1594/PANGAEA.928251 https://doi.org/10.1594/PANGAEA.928251 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess Binary Object Binary Object (File Size) Binary Object (Media Type) EG_Fram Event label File content FRAM Fram Strait FRontiers in Arctic marine Monitoring HG_Fram MULT Multiple investigations N_Fram Particle trajectories dataset 2021 ftpangaea https://doi.org/10.1594/PANGAEA.92825110.1038/s42003-021-02776-w 2024-07-24T02:31:34Z To investigate the pathways of settling aggregates in ice-covered and ice-free regions in Fram Strait, we used a Lagrangian particle tracking algorithm and computed backward particle trajectories. Particles were advected with daily averaged model velocities from the ocean-sea ice model FESOM. The computation of backward particle trajectories was performed for three stations, N, HG and EG. Experiments with three different sinking velocities per station were conducted (N: 20, 52 and 60 m/day; HG: 20, 29 and 60 m/day; EG: 20, 52, 60 m/day). In each of the experiments, particles were released once per day during the year 2016 above the sea floor and tracked until they reached the surface. Considering the 9 experiments (three stations and three settling velocities), altogether 3285 trajectories were calculated. A time step of 30 min was used for the trajectory calculation, and thus 48 positions per day and corresponding temperature and salinity values were stored. Dataset Arctic Fram Strait Sea ice PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(-2.729000,4.510000,79.740000,78.810000) |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
Binary Object Binary Object (File Size) Binary Object (Media Type) EG_Fram Event label File content FRAM Fram Strait FRontiers in Arctic marine Monitoring HG_Fram MULT Multiple investigations N_Fram Particle trajectories |
spellingShingle |
Binary Object Binary Object (File Size) Binary Object (Media Type) EG_Fram Event label File content FRAM Fram Strait FRontiers in Arctic marine Monitoring HG_Fram MULT Multiple investigations N_Fram Particle trajectories Wekerle, Claudia Backward particle trajectories used to estimate the pathways of settling aggregates measured at stations N, HG and EG in Fram Strait |
topic_facet |
Binary Object Binary Object (File Size) Binary Object (Media Type) EG_Fram Event label File content FRAM Fram Strait FRontiers in Arctic marine Monitoring HG_Fram MULT Multiple investigations N_Fram Particle trajectories |
description |
To investigate the pathways of settling aggregates in ice-covered and ice-free regions in Fram Strait, we used a Lagrangian particle tracking algorithm and computed backward particle trajectories. Particles were advected with daily averaged model velocities from the ocean-sea ice model FESOM. The computation of backward particle trajectories was performed for three stations, N, HG and EG. Experiments with three different sinking velocities per station were conducted (N: 20, 52 and 60 m/day; HG: 20, 29 and 60 m/day; EG: 20, 52, 60 m/day). In each of the experiments, particles were released once per day during the year 2016 above the sea floor and tracked until they reached the surface. Considering the 9 experiments (three stations and three settling velocities), altogether 3285 trajectories were calculated. A time step of 30 min was used for the trajectory calculation, and thus 48 positions per day and corresponding temperature and salinity values were stored. |
format |
Dataset |
author |
Wekerle, Claudia |
author_facet |
Wekerle, Claudia |
author_sort |
Wekerle, Claudia |
title |
Backward particle trajectories used to estimate the pathways of settling aggregates measured at stations N, HG and EG in Fram Strait |
title_short |
Backward particle trajectories used to estimate the pathways of settling aggregates measured at stations N, HG and EG in Fram Strait |
title_full |
Backward particle trajectories used to estimate the pathways of settling aggregates measured at stations N, HG and EG in Fram Strait |
title_fullStr |
Backward particle trajectories used to estimate the pathways of settling aggregates measured at stations N, HG and EG in Fram Strait |
title_full_unstemmed |
Backward particle trajectories used to estimate the pathways of settling aggregates measured at stations N, HG and EG in Fram Strait |
title_sort |
backward particle trajectories used to estimate the pathways of settling aggregates measured at stations n, hg and eg in fram strait |
publisher |
PANGAEA |
publishDate |
2021 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.928251 https://doi.org/10.1594/PANGAEA.928251 |
op_coverage |
MEDIAN LATITUDE: 79.203333 * MEDIAN LONGITUDE: 1.988667 * SOUTH-BOUND LATITUDE: 78.810000 * WEST-BOUND LONGITUDE: -2.729000 * NORTH-BOUND LATITUDE: 79.740000 * EAST-BOUND LONGITUDE: 4.510000 |
long_lat |
ENVELOPE(-2.729000,4.510000,79.740000,78.810000) |
genre |
Arctic Fram Strait Sea ice |
genre_facet |
Arctic Fram Strait Sea ice |
op_relation |
Fadeev, Eduard; Rogge, Andreas; Ramondenc, Simon; Nöthig, Eva-Maria; Wekerle, Claudia; Bienhold, Christina; Salter, Ian; Waite, Anya M; Hehemann, Laura; Boetius, Antje; Iversen, Morten Hvitfeldt (2021): Sea ice presence is linked to higher carbon export and vertical microbial connectivity in the Eurasian Arctic Ocean. Communications Biology, 4(1), 1255, https://doi.org/10.1038/s42003-021-02776-w https://doi.pangaea.de/10.1594/PANGAEA.928251 https://doi.org/10.1594/PANGAEA.928251 |
op_rights |
CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1594/PANGAEA.92825110.1038/s42003-021-02776-w |
_version_ |
1810292964255072256 |