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Jutila, Arttu; Hendricks, Stefan; Ricker, Robert; von Albedyll, Luisa; Haas, Christian (2021): Airborne sea ice parameters during aircraft flight P5_205_PAMARCMIP_2017_1704021401, Version 1 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.933841, In: Jutila, Arttu; Hendricks, Stefan; Ricker, Robert; von Albedyll, Luisa; Haas, Christian (2021): Airborne sea ice parameters during the PAMARCMIP2017 campaign in the Arctic Ocean, version 1 [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.933883

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Abstract:
Airborne multi-instrument measurements of sea ice were made in April 2017 as part of the Polar Airborne Measurements and Arctic Regional Climate Model Simulation Project (PAMARCMIP) under the AWI IceBird campaign series. The data consist of four surveys spanning sea-ice covered areas in the Beaufort and Chukchi Seas. 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: 71.487130 * Median Longitude: -132.174862 * South-bound Latitude: 70.171013 * West-bound Longitude: -133.972488 * North-bound Latitude: 71.998756 * East-bound Longitude: -127.403671
Date/Time Start: 2017-04-02T19:02:48 * Date/Time End: 2017-04-02T21:11:16
Event(s):
P5_205_PAMARCMIP_2017_1704021401 * Latitude Start: 68.305577 * Longitude Start: -133.500187 * Latitude End: 68.305700 * Longitude End: -133.500228 * Date/Time Start: 2017-04-02T16:35:55 * Date/Time End: 2017-04-02T21:46:52 * Campaign: P5-205_PAMARCMIP_2017 (PAMARCMIP) * Basis: POLAR 5 * Method/Device: Aircraft (AC)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DATE/TIMEDate/TimeJutila, ArttuAirborne electromagnetic (EM) induction soundingGeocode – UTC
2LATITUDELatitudeJutila, ArttuAirborne electromagnetic (EM) induction soundingGeocode
3LONGITUDELongitudeJutila, ArttuAirborne electromagnetic (EM) induction soundingGeocode
4Sea ice and snow thicknessSea ice+snow thickmJutila, ArttuAirborne electromagnetic (EM) induction soundingtotal thickness
5Sea ice and snow thickness, uncertaintySea ice+snow thick uncmJutila, ArttuAirborne electromagnetic (EM) induction soundinguncertainty of total thickness measurement, 0.1 m, constant value
6Snow thicknessSnow thickmJutila, ArttuAirborne ultrawideband radarmean, within the EM-Bird footprint, retrieved using the peakiness method
7Snow thickness, uncertaintySnow thick uncmJutila, ArttuCalculateduncertainty of mean, within the EM-Bird footprint, RMSE/sqrt(n_snow)
8Snow thickness, standard deviationSnow thick std dev±Jutila, ArttuCalculatedwithin the EM-Bird footprint
9Snow thickness, minimumSnow thick minmJutila, ArttuAirborne ultrawideband radarwithin the EM-Bird footprint
10Snow thickness, maximumSnow thick maxmJutila, ArttuAirborne ultrawideband radarwithin the EM-Bird footprint
11Number of observationsNOBS#Jutila, ArttuCalculatednumber of snow depth estimates within the EM-Bird footprint
12Snow freeboardSnow freeboardmJutila, ArttuAirborne Laserscanner (ALS) RIEGL VQ580mean
13Snow freeboard, uncertaintySnow freeboard uncmJutila, ArttuCalculatedwithin the EM-Bird footprint
14Snow freeboard, standard deviationSnow freeboard std dev±Jutila, ArttuCalculatedwithin the EM-Bird footprint
15Snow freeboard, minimumSnow freeboard minmJutila, ArttuAirborne Laserscanner (ALS) RIEGL VQ580within the EM-Bird footprint
16Snow freeboard, maximumSnow freeboard maxmJutila, ArttuAirborne Laserscanner (ALS) RIEGL VQ580within the EM-Bird footprint
17Surface temperatureSurf temp°CJutila, ArttuInfrared radiation pyrometer, Heitronics, KT19.85II
18Surface temperature, standard deviationSurf temp std dev±Jutila, ArttuCalculated
19Surface temperature, minimumSurf temp min°CJutila, ArttuInfrared radiation pyrometer, Heitronics, KT19.85II
20Surface temperature, maximumSurf temp max°CJutila, ArttuInfrared radiation pyrometer, Heitronics, KT19.85II
21Sea ice thicknessEsEsmJutila, ArttuCalculated
22Sea ice freeboardSea ice freeboardmJutila, ArttuCalculated
23Density, iceDensity icekg/m3Jutila, ArttuCalculated
24Density, ice, uncertaintyDensity ice unckg/m3Jutila, ArttuCalculated
25Sea ice, ageSea ice ageaJutila, ArttuSea ice age from the NSIDC product / Canadian Ice Service charts
26Ice typeIce typeJutila, Arttu1, if FYI; 2, if SYI; 3, if MYI using classification in Jutila et al. (2021), i.e., taking ice thickness into account
27Quality flagQFJutila, Arttulevel_ice, 0 for level ice; 1 for deformed ice
28Quality flagQFJutila, Arttutotal_thickness, 0; unless total_thickness < total_thickness_uncertainty | snow_depth | snow_freeboard, then 1
29Quality flagQFJutila, Arttunumber of snow estimates, 0; unless n_snow < 5, then 1
30Quality flagQFJutila, Arttusurface_temperature, 0; unless surface_temperature_max > -5°C, then 1
31Quality flagQFJutila, Arttudensity_uncertainty, 0; unless sea_ice_bulk_density > 100 kg m-3, then 1
32Quality flagQFJutila, Arttunegative_freeboard, 0; unless sea_ice_freeboard < 0 m, then 1
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
1757783 data points

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