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Jutila, Arttu; Hendricks, Stefan; Ricker, Robert; von Albedyll, Luisa; Haas, Christian (2021): Airborne sea ice parameters during aircraft flight P6_217_ICEBIRD_2019_1904020901, Version 1 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.933907, In: Jutila, A et al. (2021): Airborne sea ice parameters during the IceBird Winter 2019 campaign in the Arctic Ocean, Version 1 [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.933912

Always quote citation above when using data! You can download the citation in several formats below.

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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: 81.741472 * Median Longitude: -93.889265 * South-bound Latitude: 80.412476 * West-bound Longitude: -102.388748 * North-bound Latitude: 83.286179 * East-bound Longitude: -86.585716
Date/Time Start: 2019-04-02T17:46:39 * Date/Time End: 2019-04-02T20:03:44
Event(s):
P6_217_ICEBIRD_2019_1904020901 * Latitude Start: 79.996665 * Longitude Start: -85.845947 * Latitude End: 79.996667 * Longitude End: -85.845973 * Date/Time Start: 2019-04-02T15:06:52 * Date/Time End: 2019-04-02T19:56:48 * Location: Arctic * Campaign: P6_217_ICEBIRD_2019 (PAMARCMIP 2019) * Basis: POLAR 6 * Method/Device: Aircraft (AC)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
DATE/TIMEDate/TimeJutila, ArttuAirborne electromagnetic (EM) induction soundingGeocode – UTC
LATITUDELatitudeJutila, ArttuAirborne electromagnetic (EM) induction soundingGeocode
LONGITUDELongitudeJutila, ArttuAirborne electromagnetic (EM) induction soundingGeocode
Sea ice and snow thicknessSea ice+snow thickmJutila, ArttuAirborne electromagnetic (EM) induction soundingtotal thickness
Sea ice and snow thickness, uncertaintySea ice+snow thick uncmJutila, ArttuAirborne electromagnetic (EM) induction soundinguncertainty of total thickness measurement, 0.1 m, constant value
Snow thicknessSnow thickmJutila, ArttuAirborne ultrawideband radarmean, within the EM-Bird footprint, retrieved using the peakiness method
Snow thickness, uncertaintySnow thick uncmJutila, ArttuCalculateduncertainty of mean, within the EM-Bird footprint, RMSE/sqrt(n_snow)
Snow thickness, standard deviationSnow thick std dev±Jutila, ArttuCalculatedwithin the EM-Bird footprint
Snow thickness, minimumSnow thick minmJutila, ArttuAirborne ultrawideband radarwithin the EM-Bird footprint
10 Snow thickness, maximumSnow thick maxmJutila, ArttuAirborne ultrawideband radarwithin the EM-Bird footprint
11 Number of observationsNOBS#Jutila, ArttuCalculatednumber of snow depth estimates within the EM-Bird footprint
12 Snow freeboardSnow freeboardmJutila, ArttuAirborne Laserscanner (ALS) RIEGL VQ580mean
13 Snow freeboard, uncertaintySnow freeboard uncmJutila, ArttuCalculatedwithin the EM-Bird footprint
14 Snow freeboard, standard deviationSnow freeboard std dev±Jutila, ArttuCalculatedwithin the EM-Bird footprint
15 Snow freeboard, minimumSnow freeboard minmJutila, ArttuAirborne Laserscanner (ALS) RIEGL VQ580within the EM-Bird footprint
16 Snow freeboard, maximumSnow freeboard maxmJutila, ArttuAirborne Laserscanner (ALS) RIEGL VQ580within the EM-Bird footprint
17 Surface temperatureSurf temp°CJutila, ArttuInfrared radiation pyrometer, Heitronics, KT19.85II
18 Surface temperature, standard deviationSurf temp std dev±Jutila, ArttuCalculated
19 Surface temperature, minimumSurf temp min°CJutila, ArttuInfrared radiation pyrometer, Heitronics, KT19.85II
20 Surface temperature, maximumSurf temp max°CJutila, ArttuInfrared radiation pyrometer, Heitronics, KT19.85II
21 Sea ice thicknessEsEsmJutila, ArttuCalculated
22 Sea ice freeboardSea ice freeboardmJutila, ArttuCalculated
23 Density, iceDensity icekg/m3Jutila, ArttuCalculated
24 Density, ice, uncertaintyDensity ice unckg/m3Jutila, ArttuCalculated
25 Sea ice, ageSea ice ageaJutila, ArttuSea ice age from the NSIDC product / Canadian Ice Service charts
26 Ice 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
27 Quality flagQFJutila, Arttulevel_ice, 0 for level ice; 1 for deformed ice
28 Quality flagQFJutila, Arttutotal_thickness, 0; unless total_thickness < total_thickness_uncertainty | snow_depth | snow_freeboard, then 1
29 Quality flagQFJutila, Arttunumber of snow estimates, 0; unless n_snow < 5, then 1
30 Quality flagQFJutila, Arttusurface_temperature, 0; unless surface_temperature_max > -5°C, then 1
31 Quality flagQFJutila, Arttudensity_uncertainty, 0; unless sea_ice_bulk_density > 100 kg m-3, then 1
32 Quality flagQFJutila, Arttunegative_freeboard, 0; unless sea_ice_freeboard < 0 m, then 1
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
1478489 data points

Data

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


Date/Time
(UTC, Airborne electromagnetic...)

Latitude
(Airborne electromagnetic (EM)...)

Longitude
(Airborne electromagnetic (EM)...)

Sea ice+snow thick [m]
(total thickness, Airborne ele...)

Sea ice+snow thick unc [m]
(uncertainty of total thicknes...)

Snow thick [m]
(mean, within the EM-Bird foot...)

Snow thick unc [m]
(uncertainty of mean, within t...)

Snow thick std dev [±]
(within the EM-Bird footprint,...)

Snow thick min [m]
(within the EM-Bird footprint,...)
10 
Snow thick max [m]
(within the EM-Bird footprint,...)
11 
NOBS [#]
(number of snow depth estimate...)
12 
Snow freeboard [m]
(mean, Airborne Laserscanner (...)
13 
Snow freeboard unc [m]
(within the EM-Bird footprint,...)
14 
Snow freeboard std dev [±]
(within the EM-Bird footprint,...)
15 
Snow freeboard min [m]
(within the EM-Bird footprint,...)
16 
Snow freeboard max [m]
(within the EM-Bird footprint,...)
17 
Surf temp [°C]
(Infrared radiation pyrometer,...)
18 
Surf temp std dev [±]
(Calculated)
19 
Surf temp min [°C]
(Infrared radiation pyrometer,...)
20 
Surf temp max [°C]
(Infrared radiation pyrometer,...)
21 
EsEs [m]
(Calculated)
22 
Sea ice freeboard [m]
(Calculated)
23 
Density ice [kg/m3]
(Calculated)
24 
Density ice unc [kg/m3]
(Calculated)
25 
Sea ice age [a]
(Sea ice age from the NSIDC pr...)
26 
Ice type
(1, if FYI; 2, if SYI; 3, if M...)
27 
QF
(level_ice, 0 for level ice; 1...)
28 
QF
(total_thickness, 0; unless to...)
29 
QF
(number of snow estimates, 0; ...)
30 
QF
(surface_temperature, 0; unles...)
31 
QF
(density_uncertainty, 0; unles...)
32 
QF
(negative_freeboard, 0; unless...)
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