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Airborne sea ice parameters during aircraft flight P5_205_PAMARCMIP_2017_1704041501, Version 2

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.

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Cite this as

Jutila, Arttu, Hendricks, Stefan, Ricker, Robert, von Albedyll, Luisa, Haas, Christian (2024). Dataset: Airborne sea ice parameters during aircraft flight P5_205_PAMARCMIP_2017_1704041501, Version 2. https://doi.org/10.1594/PANGAEA.966010

DOI retrieved: 2024

Additional Info

Field Value
Imported on November 29, 2024
Last update November 29, 2024
License CC-BY-4.0
Source https://doi.org/10.1594/PANGAEA.966010
Author Jutila, Arttu
Given Name Arttu
Family Name Jutila
More Authors
Hendricks, Stefan
Ricker, Robert
von Albedyll, Luisa
Haas, Christian
Source Creation 2024
Publication Year 2024
Resource Type text/tab-separated-values - filename: P5_205_PAMARCMIP_2017_1704041501_sea-ice_V2
Subject Areas
Name: Cryosphere

Name: Ecology

Related Identifiers
Title: Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements
Identifier: https://doi.org/10.5194/tc-16-259-2022
Type: DOI
Relation: References
Year: 2022
Source: The Cryosphere
Authors: Jutila Arttu , Hendricks Stefan , Ricker Robert , von Albedyll Luisa , Krumpen Thomas , Haas Christian .