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Airborne snow depth on sea ice during the IceBird Winter 2019 campaign in the Arctic Ocean, Version 1

Airborne observations of snow depth on sea ice were made in April 2019 during the winter campaign of the AWI IceBird campaign series. The data consist of five surveys, some with overlapping segments at low and high altitude, spanning sea-ice covered areas in the Lincoln Sea, Central Arctic Ocean, as well as the Beaufort Sea. For each flight, the geolocated snow depth data from an airborne frequency-modulated continuous-wave ultrawideband radar using an algorithm based on signal peakiness are provided with a point spacing of approximately 4-5 meters for low-altitude flights and 7-9 meters for high-altitude flights. The trajectory data contain the full and unfiltered data record with quality flags. Longer sections of altitude-flagged data in the low-altitude data arise from calibrations of an EM sensor. Each snow depth value represents the average depth within the radar footprint that has a theoretical smooth surface cross-/along-track diameter of 2.6/1.0 m at low altitude and 7.2/5.1 m at the high altitude.

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Cite this as

Jutila, Arttu, King, Joshua, Ricker, Robert, Hendricks, Stefan, Helm, Veit, Binder, Tobias, Haas, Christian (2021). Dataset: Airborne snow depth on sea ice during the IceBird Winter 2019 campaign in the Arctic Ocean, Version 1. https://doi.org/10.1594/PANGAEA.932790

DOI retrieved: 2021

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.932790
Author Jutila, Arttu
Given Name Arttu
Family Name Jutila
More Authors
King, Joshua
Ricker, Robert
Hendricks, Stefan
Helm, Veit
Binder, Tobias
Haas, Christian
Source Creation 2021
Publication Year 2021
Resource Type application/zip - filename: Jutila-etal_2021b
Subject Areas
Name: Cryosphere

Name: Geophysics

Name: HumanDimensions

Name: LandSurface

Related Identifiers
Title: High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data
Identifier: https://doi.org/10.1109/TGRS.2021.3063756
Type: DOI
Relation: References
Year: 2021
Source: IEEE Transactions on Geoscience and Remote Sensing
Authors: Jutila Arttu , King Joshua , Paden John D , Ricker Robert , Hendricks Stefan , Polashenski Chris , Helm Veit , Binder Tobias , Haas Christian .