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Hoppmann, Mario; Kuznetsov, Ivan; Fang, Ying-Chih; Rabe, Benjamin (2022): Processed seawater temperature, conductivity and salinity obtained at different depths by CTD buoy 2019O6 as part of the MOSAiC Distributed Network [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.940296, In: Hoppmann, M et al. (2022): Processed data of CTD buoys 2019O1 to 2019O8 as part of the MOSAiC Distributed Network [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.940320

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Abstract:
CTD buoy 2019O6 was deployed in the MOSAiC Distributed Network in the Northern Laptev Sea in early October 2019 as part of a set of eight identical ice-tethered buoy systems, each consisting of 5 Seabird SBE37IMP Microcat CTDs mounted along an inductive modem tether at depths of 10, 20, 50, 75 and 100m. The CTDs were recording oceanographic data internally at 2-minute intervals. The surface unit of the buoy prompted the instruments for an additional measurement every 10 minutes, which was then transmitted to a base station via iridium along with GPS position and time, as well as surface temperature. After 308 days of drift through the Central Arctic Ocean, 2019O6 was recovered in August 2020, and the internally recorded data from the CTDs were secured. The 10-minute buoy data and 2-minute CTD data were co-processed and merged into a combined product. A buoy flag indicates whether a measurement was taken by the buoy (1) or was recorded by the CTD itself (0). The data were quality controlled by means of outlier detection using global limits, moving average filters and manual inspection. The dataset was carefully checked for inconsistencies, especially in the salinity. Where appropriate, parameters were modified to enhance the quality. A (slightly modified) quality flagging scheme was applied according to the Ocean Data Standards Volume 3 (UNESCO 2013), where 1 = Good, 2 = Good (Modified), 3 = Questionable, 4 = Bad, 9 = no data. Finally, the data were validated against independent measurements. Details are available in the data paper indicted below.
Keyword(s):
Arctic Ocean; buoy; eddy; mesoscale; mesoscale eddy; MOSAIC_PO; oceanographic time series; oceanography; Transpolar Drift
Related to:
Hoppmann, Mario; Kuznetsov, Ivan; Fang, Ying-Chih; Rabe, Benjamin (2022): Mesoscale observations of temperature and salinity in the Arctic Transpolar Drift: a high-resolution dataset from the MOSAiC Distributed Network. Earth System Science Data, 14, 4901–4921, https://doi.org/10.5194/essd-14-4901-2022
Krumpen, Thomas; Sokolov, Vladimir (2020): The Expedition AF122/1 : Setting up the MOSAiC Distributed Network in October 2019 with Research Vessel AKADEMIK FEDOROV. Berichte zur Polar- und Meeresforschung = Reports on Polar and Marine Research, 744, 119 pp, https://doi.org/10.2312/BzPM_0744_2020
Other version:
Hoppmann, Mario; Kuznetsov, Ivan; Fang, Ying-Chih; Rabe, Benjamin (2021): Raw seawater temperature, conductivity and salinity obtained at different depths by CTD buoy 2019O6 as part of the MOSAiC Distributed Network. PANGAEA, https://doi.org/10.1594/PANGAEA.933941
Further details:
Intergovernmental Oceanographic Commission (2013): Ocean Data Standards Volume 3. Recommendation for a Quality Flag Scheme for the Exchange of Oceanographic and Marine Meteorological Data. Version 1. Paris, France, UNESCO-IOC. Intergovernmental Oceanographic Commission Manuals and Guides, Volume 54 (3), 5 pp & Annexes, https://doi.org/10.25607/OBP-6
Funding:
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AFMOSAiC-1_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AWI_PS122_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate / MOSAiC
Coverage:
Median Latitude: 84.803972 * Median Longitude: 52.614691 * South-bound Latitude: 78.873003 * West-bound Longitude: -8.205492 * North-bound Latitude: 88.553369 * East-bound Longitude: 133.639450
Date/Time Start: 2019-10-10T03:21:40 * Date/Time End: 2020-08-13T13:39:40
Minimum DEPTH, water: -99.67 m * Maximum DEPTH, water: -7.47 m
Event(s):
AF-MOSAiC-1_124 (PS122/1_1-153, 2019O6) * Latitude Start: 85.127222 * Longitude Start: 133.234594 * Latitude End: 80.250000 * Longitude End: -7.490000 * Date/Time Start: 2019-10-10T03:10:00 * Date/Time End: 2020-08-13T13:40:00 * Sensor URI: sensor.awi.de * Location: Arctic Ocean * Campaign: AF-MOSAiC-1 (MOSAiC20192020, AF122/1) * Basis: Akademik Fedorov * Method/Device: Ocean CTD buoy (OCTDB) * Comment: Station M6__Measurement:Snow and ice temperature profile__Comment:__Old Labels:M6_SIT_6_AWI_20191010,PS122/1_1-153
AT-MOSAiC-1_4 (2019O6) * Latitude: 80.181730 * Longitude: -8.118570 * Date/Time: 2020-08-13T00:00:00 * Sensor URI: sensor.awi.de * Location: North Greenland Sea * Campaign: AT-MOSAiC-1 (MOSAiC20192020) * Basis: Akademik Tryoshnikov * Method/Device: Ocean CTD buoy (OCTDB) * Comment: Recovery
Comment:
• GearID 1: SBE37IMP, SN 21112
• GearID 2: SBE37IMP, SN 21115
• GearID 3: SBE37IMP, SN 21116
• GearID 4: SBE37IMP, SN 21117
• GearID 5: SBE37IMP, SN 21108
Acknowledgments:
The data were produced as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 (grant numbers AWI_PS122_00 and AFMOSAiC-1_00). The instruments were funded through the MIDO (Multidisciplinary Ice-based Drifting Observatory) infrastructure program, and built by Pacific Gyre, USA. We thank the crews of the research vessels Akademik Fedorov, Akademik Tryoshnikov and RV Polarstern, and in particular the chief scientists, Thomas Krumpen, Markus Rex and Matthew Shupe. We thank the helicopter company Naryan-Marsky for their great logistical support that made this effort possible. We express our gratitude to all participants of these expeditions, and particularly to the MOSAiC School for their field assistance during the set-up. We appreciate the efforts of Kirstin Schulz, Julia Regnery, Ingo Schuffenhauer, Morven Muilwijk, Sandra Tippenhauer and the entire Leg 4 Team for the recovery of the instruments.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
DATE/TIMEDate/TimeHoppmann, MarioGeocode
LATITUDELatitudeHoppmann, MarioGeocode
LONGITUDELongitudeHoppmann, MarioGeocode
Drift velocityDrift velm/sHoppmann, Mario
SubmergedSubmergedHoppmann, MarioBoolean (logical)
Temperature, airTTT°CHoppmann, MarioSurface
Gear identification numberGear IDHoppmann, MarioSee description in dataset comment
ConductivityCondmS/cmHoppmann, MarioCTD, Sea-Bird, SBE 37-IMP MicroCAT
Temperature, waterTemp°CHoppmann, MarioCTD, Sea-Bird, SBE 37-IMP MicroCAT
10 Pressure, waterPressdbarHoppmann, MarioCTD, Sea-Bird, SBE 37-IMP MicroCAT
11 DEPTH, waterDepth watermHoppmann, Mariocalculated from pressure and latitudeGeocode
12 SalinitySalHoppmann, MarioPSS-78, salinity scale
13 Quality flag, conductivityQF conductHoppmann, MarioQuality Flag Scheme for the Exchange of Oceanographic and Marine Meteorological Data
14 Quality flag, water temperatureQF water tempHoppmann, MarioQuality Flag Scheme for the Exchange of Oceanographic and Marine Meteorological Data
15 Quality flag, water pressureQF water pressHoppmann, MarioQuality Flag Scheme for the Exchange of Oceanographic and Marine Meteorological Data
16 Quality flag, water depthQF water depthHoppmann, MarioQuality Flag Scheme for the Exchange of Oceanographic and Marine Meteorological Data
17 Quality flag, salinityQF salHoppmann, MarioQuality Flag Scheme for the Exchange of Oceanographic and Marine Meteorological Data
18 Flag, buoyFlag buoyHoppmann, Mariosee commentIndicator for buoy-transmitted (1) or internally-recorded (0) CTD data
Change history:
2022-10-17T07:57:35 – Quality flags corrected
Status:
Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 2 (ProcLevel2)
Size:
16368677 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Date/Time

Latitude

Longitude

Drift vel [m/s]

Submerged

TTT [°C]

Gear ID

Cond [mS/cm]

Temp [°C]
10 
Press [dbar]
11 
Depth water [m]
12 
Sal
13 
QF conduct
14 
QF water temp
15 
QF water press
16 
QF water depth
17 
QF sal
18 
Flag buoy
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2019-10-10T12:31:4085.121871132.9570040.07120.373-1.7739.62-9.5125.16311130
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2019-10-10T14:09:4085.120066132.9319650.04120.412-1.7739.62-9.5225.22311130
2019-10-10T14:09:4085.120066132.9319650.04225.379-1.77219.71-19.5032.00311130
2019-10-10T14:09:4085.120066132.9319650.04326.711-1.71449.99-49.4533.76311130
2019-10-10T14:09:4085.120066132.9319650.04427.389-1.43675.22-74.4034.37111110
2019-10-10T14:09:4085.120066132.9319650.04527.971-0.842100.65-99.5534.47111110
2019-10-10T14:11:4085.120036132.9317000.03120.413-1.7739.62-9.5225.22311130
2019-10-10T14:11:4085.120036132.9317000.03225.379-1.77219.71-19.5032.00311130
2019-10-10T14:11:4085.120036132.9317000.03326.701-1.71349.99-49.4533.75311130
2019-10-10T14:11:4085.120036132.9317000.03427.385-1.43975.22-74.4034.37111110
2019-10-10T14:11:4085.120036132.9317000.03527.968-0.846100.65-99.5534.47111110
2019-10-10T14:13:4085.120007132.9314440.03120.413-1.7739.62-9.5225.22311130
2019-10-10T14:13:4085.120007132.9314440.03225.354-1.77219.71-19.5031.96311130
2019-10-10T14:13:4085.120007132.9314440.03326.678-1.71349.99-49.4533.72311130
2019-10-10T14:13:4085.120007132.9314440.03427.380-1.44575.22-74.4034.37111110
2019-10-10T14:13:4085.120007132.9314440.03527.965-0.849100.65-99.5534.47111110
2019-10-10T14:15:4085.119978132.9311870.03120.414-1.7739.62-9.5225.22311130
2019-10-10T14:15:4085.119978132.9311870.03225.352-1.77219.71-19.5031.96311130
2019-10-10T14:15:4085.119978132.9311870.03326.699-1.70849.99-49.4533.74311130
2019-10-10T14:15:4085.119978132.9311870.03427.377-1.44875.22-74.4034.37111110
2019-10-10T14:15:4085.119978132.9311870.03527.966-0.847100.64-99.5434.47111110
2019-10-10T14:17:4085.119948132.9309300.03120.415-1.7739.62-9.5225.22311130
2019-10-10T14:17:4085.119948132.9309300.03225.354-1.77219.71-19.5031.96311130
2019-10-10T14:17:4085.119948132.9309300.03326.689-1.71449.99-49.4533.73311130
2019-10-10T14:17:4085.119948132.9309300.03427.384-1.44075.22-74.4034.37111110
2019-10-10T14:17:4085.119948132.9309300.03527.973-0.840100.65-99.5534.47111110
2019-10-10T14:19:0085.119914132.9306310.030-4.30120.415-1.7739.62-9.5225.22312231
2019-10-10T14:19:0085.119914132.9306310.030-4.30225.358-1.77219.71-19.5031.97312231
2019-10-10T14:19:0085.119914132.9306310.030-4.30326.704-1.71249.99-49.4533.75312231
2019-10-10T14:19:0085.119914132.9306310.030-4.30475.22-74.40992291
2019-10-10T14:19:0085.119914132.9306310.030-4.30527.981-0.831100.65-99.5534.47112211
2019-10-10T14:19:4085.119919132.9306740.03120.415-1.7739.62-9.5225.22311130
2019-10-10T14:19:4085.119919132.9306740.03225.358-1.77219.71-19.5031.97311130
2019-10-10T14:19:4085.119919132.9306740.03326.704-1.71149.99-49.4533.75311130
2019-10-10T14:19:4085.119919132.9306740.03427.391-1.43275.22-74.4034.37111110
2019-10-10T14:19:4085.119919132.9306740.03527.980-0.832100.65-99.5534.47111110
2019-10-10T14:21:4085.119890132.9304580.03120.416-1.7739.62-9.5225.22311130
2019-10-10T14:21:4085.119890132.9304580.03225.360-1.77219.71-19.5031.97311130
2019-10-10T14:21:4085.119890132.9304580.03326.710-1.71249.99-49.4533.76311130
2019-10-10T14:21:4085.119890132.9304580.03427.413-1.40675.22-74.4034.37111110
2019-10-10T14:21:4085.119890132.9304580.03527.986-0.825100.65-99.5534.47111110
2019-10-10T14:23:4085.119862132.9302500.03120.416-1.7739.62-9.5225.22311130
2019-10-10T14:23:4085.119862132.9302500.03225.365-1.77219.71-19.5031.98311130
2019-10-10T14:23:4085.119862132.9302500.03326.684-1.71249.99-49.4533.72311130
2019-10-10T14:23:4085.119862132.9302500.03427.424-1.39475.22-74.4134.37111110
2019-10-10T14:23:4085.119862132.9302500.03527.988-0.823100.65-99.5534.47111110
2019-10-10T14:25:4085.119834132.9300420.03120.417-1.7739.62-9.5225.22311130
2019-10-10T14:25:4085.119834132.9300420.03225.367-1.77219.71-19.5031.98311130
2019-10-10T14:25:4085.119834132.9300420.03326.690-1.71449.99-49.4533.73311130
2019-10-10T14:25:4085.119834132.9300420.03427.431-1.38775.22-74.4134.37111110
2019-10-10T14:25:4085.119834132.9300420.03527.988-0.824100.65-99.5534.47111110
2019-10-10T14:27:4085.119805132.9298340.03120.420-1.7739.62-9.5225.23311130
2019-10-10T14:27:4085.119805132.9298340.03225.367-1.77219.71-19.5031.98311130
2019-10-10T14:27:4085.119805132.9298340.03326.685-1.71049.99-49.4533.72311130
2019-10-10T14:27:4085.119805132.9298340.03427.436-1.38375.22-74.4034.37111110
2019-10-10T14:27:4085.119805132.9298340.03527.985-0.827100.65-99.5434.47111110

Only the first 2000 rows were shown. To view the complete dataset, download it as tab-delimited text. You can still view the full matrix in your browser, but be aware that this may crash the browser due to the huge size.