von Appen, Wilken-Jon; Baumann, Till; Janout, Markus A; Koldunov, Nikolay; Lenn, Yueng-Djern; Pickart, Robert; Scott, Robert; Wang, Qiang (2022): Eddy kinetic energy in the Arctic Ocean from moored velocity observations [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.941165
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
Mesoscale eddies are important for many aspects of the dynamics of the Arctic Ocean. These include the maintenance of the halocline and the Atlantic Water boundary current through lateral eddy fluxes, shelf-basin exchanges, transport of biological material and sea ice, and the modification of the sea-ice distribution. Here we review what is known about the mesoscale variability and its impacts in the Arctic Ocean in the context of an Arctic Ocean responding rapidly to climate change. In addition, we present the first quantification of eddy kinetic energy (EKE) from moored observations across the entire Arctic Ocean, which we compare to output from an eddy resolving numerical model. We show that EKE is largest in the northern Nordic Seas/Fram Strait and it is also elevated along the shelfbreak of the Arctic Circumpolar Boundary Current, especially in the Beaufort Sea. In the central basins it is 100-1000 times lower. Except for the region affected by southward sea-ice export south of Fram Strait, EKE is stronger when sea-ice concentration is low compared to dense ice cover. Areas where conditions typical in the Atlantic and Pacific prevail will increase. Hence, we conclude that the future Arctic Ocean will feature more energetic mesoscale variability.
This table provides (eddy) kinetic energy in the Arctic Ocean calculated from moorings and a numerical model across the entire record and averaged over certain conditions (seasons, ice concentration). The calculations are explained in the manuscript (Eddies and the distribution of eddy kinetic energy in the Arctic Ocean). The used mooring data was compiled from six different sources as listed below and identified in the table based on the Source ID.
Supplement to:
von Appen, Wilken-Jon; Baumann, Till; Lenn, Yueng‐Djern; Janout, Markus A; Koldunov, Nikolay; Pickart, Robert; Scott, Robert B; Wang, Qiang (in review): Eddies and the distribution of eddy kinetic energy in the Arctic Ocean. Oceanography
Source:
Global Multi-Archive Current Meter Database. http://mespages.univ-brest.fr/~scott/GMACMD/gmacmd.html
Baumann, Till; Polyakov, Igor; Padman, Laurie; Danielson, Seth L; Fer, Ilker; Janout, Markus A; Williams, William J; Pnyushkov, Andrey V (2020): Arctic tidal current atlas. Scientific Data, 7(1), 275, https://doi.org/10.1038/s41597-020-00578-z
Pickart, Robert (2019): Arctic Observing Network (AON) observations from the 2002-2003 Beaufort shelf-edge mooring array, as part of the western Arctic Shelf-Basin Interactions (SBI) experiment. Arctic Data Center, https://doi.org/10.18739/A24T6F334
Pickart, Robert (2019): Arctic Observing Network (AON) observations from the 2003-2004 Beaufort shelf-edge mooring array, as part of the western Arctic Shelf-Basin Interactions (SBI). Arctic Data Center, https://doi.org/10.18739/A2222R59X
Pickart, Robert (2019): Arctic Observing Network (AON) observations from the 2005-2006 Beaufort shelf-edge mooring array. Arctic Data Center, https://doi.org/10.18739/A2FB4WM1G
Pickart, Robert (2019): Arctic Observing Network (AON) observations from the 2008-2009 Beaufort shelf-edge mooring array. Arctic Data Center, https://doi.org/10.18739/A25T3G02W
Pickart, Robert (2019): Arctic Observing Network (AON) observations from the 2014-2016 Beaufort shelf-edge mooring array. Arctic Data Center, https://doi.org/10.18739/A29K45S73
Pickart, Robert; McRaven, Leah (2021): Arctic Observing Network (AON) observations from the 2009-2010 Beaufort shelf-edge mooring array. NSF Arctic Data Center, https://doi.org/10.18739/A29W09071
Pickart, Robert; McRaven, Leah (2021): Arctic Observing Network (AON) observations from the 2010-2011 Beaufort shelf-edge mooring array. NSF Arctic Data Center, https://doi.org/10.18739/A2GH9B984
Pickart, Robert; McRaven, Leah (2021): Arctic Observing Network (AON) observations from the 2011-2012 Beaufort shelf-edge mooring array. NSF Arctic Data Center, https://doi.org/10.18739/A2BR8MH3H
Pickart, Robert; McRaven, Leah (2021): Arctic Observing Network (AON) observations from the 2013-2014 Beaufort shelf-edge mooring array. NSF Arctic Data Center, https://doi.org/10.18739/A23775W4T
Pickart, Robert; McRaven, Leah (2021): Arctic Observing Network (AON) observations from the 2016-2018 Beaufort shelf-edge mooring array. NSF Arctic Data Center, https://doi.org/10.18739/A2ZG6G797
Schaffer, Janin; Kanzow, Torsten (2019): Physical oceanography processed data from moorings recovered during PS109 and PS114 on the Northeast Greenland continental shelf [dataset publication series]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.909471
von Appen, Wilken-Jon (2019): Physical oceanography and current meter data (including raw data) from FRAM moorings in the Fram Strait, 2016-2018 [dataset bibliography]. PANGAEA, https://doi.org/10.1594/PANGAEA.904565
von Appen, Wilken-Jon; Beszczynska-Möller, Agnieszka; Schauer, Ursula; Fahrbach, Eberhard (2019): Physical oceanography and current meter data from moorings F1-F14 and F15/F16 in the Fram Strait, 1997-2016 [dataset bibliography]. PANGAEA, https://doi.org/10.1594/PANGAEA.900883
von Appen, Wilken-Jon; Salter, Ian; Nöthig, Eva-Maria; Rabe, Benjamin; Scholz, Daniel; Schauer, Ursula; Boetius, Antje (2017): Physical oceanography and current meter data from mooring Karasik-2015 [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.870849
von Appen, Wilken-Jon; Salter, Ian; Nöthig, Eva-Maria; Rabe, Benjamin; Scholz, Daniel; Schauer, Ursula; Boetius, Antje (2017): Physical oceanography and current meter data from mooring Nansen-2015 [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.870850
Other version:
Project(s):
Physical Oceanography @ AWI (AWI_PhyOce)
Coverage:
Median Latitude: 73.292953 * Median Longitude: -32.417920 * South-bound Latitude: 60.007000 * West-bound Longitude: -159.903000 * North-bound Latitude: 89.429000 * East-bound Longitude: 161.264000
Date/Time Start: 1980-01-01T00:00:00 * Date/Time End: 2018-08-25T00:00:00
Minimum Elevation: -4711.0 m * Maximum Elevation: -50.0 m
Event(s):
250_MOOR * Latitude: 73.386000 * Longitude: -0.828000 * Date/Time Start: 1988-01-01T00:00:00 * Date/Time End: 1989-01-01T00:00:00 * Elevation: -2971.0 m * Method/Device: Mooring (MOOR) * Comment: Long term observation, date of deployment and recovery unknown
Comment:
This table provides (eddy) kinetic energy in the Arctic Ocean calculated from moorings and a numerical model across the entire record and averaged over certain conditions (seasons, ice concentration). The calculations are explained in the manuscript (Eddies and the distribution of eddy kinetic energy in the Arctic Ocean). The used mooring data was compiled from six different sources as listed below and identified in the table based on the Source ID.
Source ID list:
1. Baumann et al. compilation for tidal parameters: https://www.nature.com/articles/s41597-020-00578-z/tables/3
2. Global Multi-Archive Current Meter Database: http://mespages.univ-brest.fr/~scott/GMACMD/gmacmd.html
3. Pangaea:
von Appen et al. 2016-2018 FRAM https://doi.org/10.1594/PANGAEA.904565
von Appen et al. 1997-2016 Fram Strait https://doi.org/10.1594/PANGAEA.900883
Schaffer et al. 2016-2018 EG shelf https://doi.org/10.1594/PANGAEA.909471
Karasik 2015-2016 https://doi.org/10.1594/PANGAEA.870849
Nansen 2015-2016 https://doi.org/10.1594/PANGAEA.870850
4. Arctic Data Center:
BS3 Arctic Observing Network 2002-2003 https://doi.org/10.18739/A24T6F334
BS3 Arctic Observing Network 2003-2004 https://doi.org/10.18739/A2222R59X
BS3 Arctic Observing Network 2005-2006 https://doi.org/10.18739/A2FB4WM1G
BS3 Arctic Observing Network 2008-2009 https://doi.org/10.18739/A25T3G02W
BS3 Arctic Observing Network 2009-2010 https://doi.org/10.18739/A29W09071
BS3 Arctic Observing Network 2010-2011 https://doi.org/10.18739/A2GH9B984
BS3 Arctic Observing Network 2011-2012 https://doi.org/10.18739/A2BR8MH3H
BS3 Arctic Observing Network 2012-2013 https://doi.org/10.18739/A2707WP8K
BS3 Arctic Observing Network 2013-2014 https://doi.org/10.18739/A23775W4T
BS3 Arctic Observing Network 2014-2016 https://doi.org/10.18739/A29K45S73
BS3 Arctic Observing Network 2016-2018 https://doi.org/10.18739/A2ZG6G797
5. Woods Hole Oceanographic Institution website:
Bureau of Ocean Energy Management Arctic Moorings 2013-2014 http://science.whoi.edu/users/seasoar/boem_recov/
Beaufort Gyre Exploration Project moorings 2003-2018 https://www2.whoi.edu/site/beaufortgyre/data/mooring-data/
6. Personal communication (data not yet available online)
Arctic Kap moorings 2015-2018 Eugenio.Ruiz-Castillo@awi.de
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | Station label | Station | von Appen, Wilken-Jon | |||
2 | LONGITUDE | Longitude | von Appen, Wilken-Jon | Geocode | ||
3 | LATITUDE | Latitude | von Appen, Wilken-Jon | Geocode | ||
4 | ELEVATION | Elevation | m a.s.l. | von Appen, Wilken-Jon | Geocode | |
5 | Reference/source | Reference | von Appen, Wilken-Jon | see dataset comment | ||
6 | First year of observation | Year start | a AD | von Appen, Wilken-Jon | First year of records | |
7 | Last year of observation | Year end | a AD | von Appen, Wilken-Jon | Last year of records | |
8 | Duration | Duration | a | von Appen, Wilken-Jon | Duration of records which may be shorter than End year minus Start year if there are months/years without observations | |
9 | DEPTH, water | Depth water | m | von Appen, Wilken-Jon | Geocode – Mean depth of the used velocity observations | |
10 | Depth, top/min | Depth top | m | von Appen, Wilken-Jon | Minimum depth of the used velocity observations which is typically 50 m | |
11 | Depth, bottom/max | Depth bot | m | von Appen, Wilken-Jon | Maximum depth of the used velocity observations which is typically 100 m | |
12 | Velocity, east | East vel | m/s | von Appen, Wilken-Jon | Record mean eastward velocity | |
13 | Velocity, north | North vel | m/s | von Appen, Wilken-Jon | Record mean northward velocity | |
14 | Eddy kinetic energy, mean | EKE mean | m2/s2 | von Appen, Wilken-Jon | Record mean EKE (eddy kinetic energy) which is based on 2-days to 30-days bandpass filtered velocities | |
15 | Total kinetic energy | KE tot | m2/s2 | von Appen, Wilken-Jon | Record mean TKE (total kinetic energy) which is directly based on the time series | |
16 | Mean kinetic energy | MKE | m2/s2 | von Appen, Wilken-Jon | Record mean MKE (mean kinetic energy) which is based on the mean eastward and northward velocities | |
17 | Low-frequency kinetic energy | LKE | m2/s2 | von Appen, Wilken-Jon | Record mean LKE (low-frequency kinetic energy) which is based on 30-days lowpass filtered velocities and includes seasonal and interannual variability | |
18 | High-frequency kinetic energy | HKE | m2/s2 | von Appen, Wilken-Jon | Record mean HKE (high-frequency kinetic energy) which is based on 2-days highpass filtered velocities and includes tidal variability and inertial oscillations | |
19 | Eddy kinetic energy, at depth | EKE at depth | m2/s2 | von Appen, Wilken-Jon | EKE based on velocities averaged between 500 m and 1000 m depth (note that columns 8-10 do not apply to this column but they apply to all other columns) | |
20 | Eddy kinetic energy, winter | EKE win | m2/s2 | von Appen, Wilken-Jon | EKE in winter (January, February, March) | |
21 | Eddy kinetic energy, spring | EKE spr | m2/s2 | von Appen, Wilken-Jon | EKE in spring (April, May, June) | |
22 | Eddy kinetic energy, summer | EKE sum | m2/s2 | von Appen, Wilken-Jon | EKE in summer (July, August, September) | |
23 | Eddy kinetic energy, autumn | EKE aut | m2/s2 | von Appen, Wilken-Jon | EKE in fall (October, November, December) | |
24 | Eddy kinetic energy, no ice | EKE no ice | m2/s2 | von Appen, Wilken-Jon | EKE at sea ice concentrations <20% | |
25 | Eddy kinetic energy, some ice | EKE some ice | m2/s2 | von Appen, Wilken-Jon | EKE at sea ice concentrations >20% and <80% | |
26 | Eddy kinetic energy, ice | EKE ice | m2/s2 | von Appen, Wilken-Jon | EKE at sea ice concentrations >80% | |
27 | Eddy kinetic energy, model bandpass | EKE model bandpass | m2/s2 | von Appen, Wilken-Jon | EKE based on bandpass filtered velocity time series from Wang et al. (2020) model | |
28 | Eddy kinetic energy, model online | EKE model online | m2/s2 | von Appen, Wilken-Jon | EKE based on online calculation (deviation of instantaneous velocities from monthly means) from Wang et al. (2020) model | |
29 | Eddy kinetic energy, 2000-2010 | EKE 2000-2010 | m2/s2 | von Appen, Wilken-Jon | EKE in decade from 01-Jan-2000 to 01-Jan-2010 (note that columns 4-7 may not apply to this column) | |
30 | Eddy kinetic energy, 2010-2020 | EKE 2010-2020 | m2/s2 | von Appen, Wilken-Jon | EKE in decade from 01-Jan-2010 to 01-Jan-2020 (note that columns 4-7 may not apply to this column) |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
4806 data points
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