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):
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
Project(s):
Sea Ice Physics @ AWI (AWI_SeaIce)
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):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DATE/TIME | Date/Time | Jutila, Arttu | Airborne electromagnetic (EM) induction sounding | Geocode – UTC | |
| 2 | LATITUDE | Latitude | Jutila, Arttu | Airborne electromagnetic (EM) induction sounding | Geocode | |
| 3 | LONGITUDE | Longitude | Jutila, Arttu | Airborne electromagnetic (EM) induction sounding | Geocode | |
| 4 | Sea ice and snow thickness | Sea ice+snow thick | m | Jutila, Arttu | Airborne electromagnetic (EM) induction sounding | total thickness |
| 5 | Sea ice and snow thickness, uncertainty | Sea ice+snow thick unc | m | Jutila, Arttu | Airborne electromagnetic (EM) induction sounding | uncertainty of total thickness measurement, 0.1 m, constant value |
| 6 | Snow thickness | Snow thick | m | Jutila, Arttu | Airborne ultrawideband radar | mean, within the EM-Bird footprint, retrieved using the peakiness method |
| 7 | Snow thickness, uncertainty | Snow thick unc | m | Jutila, Arttu | Calculated | uncertainty of mean, within the EM-Bird footprint, RMSE/sqrt(n_snow) |
| 8 | Snow thickness, standard deviation | Snow thick std dev | ± | Jutila, Arttu | Calculated | within the EM-Bird footprint |
| 9 | Snow thickness, minimum | Snow thick min | m | Jutila, Arttu | Airborne ultrawideband radar | within the EM-Bird footprint |
| 10 | Snow thickness, maximum | Snow thick max | m | Jutila, Arttu | Airborne ultrawideband radar | within the EM-Bird footprint |
| 11 | Number of observations | NOBS | # | Jutila, Arttu | Calculated | number of snow depth estimates within the EM-Bird footprint |
| 12 | Snow freeboard | Snow freeboard | m | Jutila, Arttu | Airborne Laserscanner (ALS) RIEGL VQ580 | mean |
| 13 | Snow freeboard, uncertainty | Snow freeboard unc | m | Jutila, Arttu | Calculated | within the EM-Bird footprint |
| 14 | Snow freeboard, standard deviation | Snow freeboard std dev | ± | Jutila, Arttu | Calculated | within the EM-Bird footprint |
| 15 | Snow freeboard, minimum | Snow freeboard min | m | Jutila, Arttu | Airborne Laserscanner (ALS) RIEGL VQ580 | within the EM-Bird footprint |
| 16 | Snow freeboard, maximum | Snow freeboard max | m | Jutila, Arttu | Airborne Laserscanner (ALS) RIEGL VQ580 | within the EM-Bird footprint |
| 17 | Surface temperature | Surf temp | °C | Jutila, Arttu | Infrared radiation pyrometer, Heitronics, KT19.85II | |
| 18 | Surface temperature, standard deviation | Surf temp std dev | ± | Jutila, Arttu | Calculated | |
| 19 | Surface temperature, minimum | Surf temp min | °C | Jutila, Arttu | Infrared radiation pyrometer, Heitronics, KT19.85II | |
| 20 | Surface temperature, maximum | Surf temp max | °C | Jutila, Arttu | Infrared radiation pyrometer, Heitronics, KT19.85II | |
| 21 | Sea ice thickness | EsEs | m | Jutila, Arttu | Calculated | |
| 22 | Sea ice freeboard | Sea ice freeboard | m | Jutila, Arttu | Calculated | |
| 23 | Density, ice | Density ice | kg/m3 | Jutila, Arttu | Calculated | |
| 24 | Density, ice, uncertainty | Density ice unc | kg/m3 | Jutila, Arttu | Calculated | |
| 25 | Sea ice, age | Sea ice age | a | Jutila, Arttu | Sea ice age from the NSIDC product / Canadian Ice Service charts | |
| 26 | Ice type | Ice type | Jutila, Arttu | 1, if FYI; 2, if SYI; 3, if MYI using classification in Jutila et al. (2021), i.e., taking ice thickness into account | ||
| 27 | Quality flag | QF | Jutila, Arttu | level_ice, 0 for level ice; 1 for deformed ice | ||
| 28 | Quality flag | QF | Jutila, Arttu | total_thickness, 0; unless total_thickness < total_thickness_uncertainty | snow_depth | snow_freeboard, then 1 | ||
| 29 | Quality flag | QF | Jutila, Arttu | number of snow estimates, 0; unless n_snow < 5, then 1 | ||
| 30 | Quality flag | QF | Jutila, Arttu | surface_temperature, 0; unless surface_temperature_max > -5°C, then 1 | ||
| 31 | Quality flag | QF | Jutila, Arttu | density_uncertainty, 0; unless sea_ice_bulk_density > 100 kg m-3, then 1 | ||
| 32 | Quality flag | QF | Jutila, Arttu | negative_freeboard, 0; unless sea_ice_freeboard < 0 m, then 1 |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
1757783 data points
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