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Data Publisher for Earth & Environmental Science

Jutila, Arttu; Hendricks, Stefan; Ricker, Robert; von Albedyll, Luisa; Haas, Christian (2024): Airborne sea ice parameters during aircraft flight P6_217_ICEBIRD_2019_1904081301, Version 2 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.966061, In: Jutila, A et al. (2024): Airborne sea ice parameters during the IceBird Winter 2019 campaign in the Arctic Ocean, Version 2 [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.966057

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Abstract:
Airborne multi-instrument measurements of sea ice were made in April 2019 during the winter campaign of the AWI IceBird campaign series. The data consist of five surveys spanning sea-ice covered areas in the Lincoln Sea, Central Arctic Ocean, as well as the Beaufort Sea. For each flight, the geolocated total (ice+snow) thickness data from an airborne electromagnetic (EM) induction sensor are provided with a point spacing of approximately 5-6 meters. Larger gaps in the trajectories arise from high-altitude calibrations of the EM sensor. The data are combined with collocated and simultaneous snow depth measurements from an airborne frequency-modulated continuous-wave ultrawideband radar, snow freeboard measurements from an airborne near-infrared laser scanner, and surface temperature measurements from an airborne infrared radiation pyrometer. Each value represents the average within the approximately 40 m diameter footprint of the EM sensor, thus representing a smoothed representation. These values are then used to derive further sea ice parameters such as sea ice bulk density. The trajectory data contain the full and unfiltered data record with quality flags.
Keyword(s):
Arctic Ocean; Cryosphere; Freeboard; Sea ice; Sea ice density; Sea ice thickness; snow depth
Related to:
Jutila, Arttu; Hendricks, Stefan; Ricker, Robert; von Albedyll, Luisa; Krumpen, Thomas; Haas, Christian (2022): Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements. The Cryosphere, 16(1), 259-275, https://doi.org/10.5194/tc-16-259-2022
Coverage:
Median Latitude: 71.204475 * Median Longitude: -126.653452 * South-bound Latitude: 70.613907 * West-bound Longitude: -127.773537 * North-bound Latitude: 71.765068 * East-bound Longitude: -124.400612
Date/Time Start: 2019-04-08T19:07:24 * Date/Time End: 2019-04-08T20:24:09
Event(s):
P6_217_ICEBIRD_2019_1904081301 * Latitude Start: 68.305779 * Longitude Start: -133.493674 * Latitude End: 68.305775 * Longitude End: -133.493625 * Date/Time Start: 2019-04-08T15:19:23 * Date/Time End: 2019-04-08T19:53:22 * Location: Arctic * Campaign: P6_217_ICEBIRD_2019 (PAMARCMIP 2019) * Basis: POLAR 6 * Method/Device: Aircraft (AC)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DATE/TIMEDate/TimeGeocode
2LATITUDELatitudeGeocode
3LONGITUDELongitudeGeocode
4Sea ice and snow thicknessSea ice+snow thickm
5Sea ice and snow thickness, uncertaintySea ice+snow thick uncm
6Snow thicknessSnow thickm
7Snow thickness, uncertaintySnow thick uncm
8Snow thickness, standard deviationSnow thick std dev±
9Snow thickness, minimumSnow thick minm
10Snow thickness, maximumSnow thick maxm
11Number of observationsNOBS#
12Snow freeboardSnow freeboardm
13Snow freeboard, uncertaintySnow freeboard uncm
14Snow freeboard, standard deviationSnow freeboard std dev±
15Snow freeboard, minimumSnow freeboard minm
16Snow freeboard, maximumSnow freeboard maxm
17Surface temperatureSurf temp°C
18Surface temperature, standard deviationSurf temp std dev±
19Surface temperature, minimumSurf temp min°C
20Surface temperature, maximumSurf temp max°C
21Sea ice thicknessEsEsm
22Sea ice freeboardSea ice freeboardm
23Density, iceDensity icekg/m3
24Density, ice, uncertaintyDensity ice unckg/m3
25Sea ice, ageSea ice agea
26Ice typeIce type
27Quality flagQF
28Quality flagQF
29Quality flagQF
30Quality flagQF
31Quality flagQF
32Quality flagQF
Change history:
2024-03-05T07:42:27 – Version 2 Changelog: New, improved quality flag for identifying level and deformed sea ice. It has a stricter condition as the thickness gradient threshold is now applied to the sea-ice thickness parameter instead of total (sea ice + snow) thickness to ensure better identification. In addition, a bug that resulted in flagging level ice sections of insufficient length (<100 m) has been fixed. All other parameters such as the physical thickness values remain unchanged in the new version.
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
1004761 data points

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