Airborne low-altitude snow depth on sea ice during aircraft flight P5_205_PAMARCMIP_2017_1703301101, Version 1

Airborne observations of snow depth on sea ice were made in March and 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 six surveys spanning sea-ice covered areas in the Lincoln Sea, Central Arctic Ocean, as well as the Beaufort and Chukchi Seas. 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. The trajectory data contain the full and unfiltered data record with quality flags. Longer sections of altitude-flagged 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.

Data and Resources

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Cite this as

Jutila, Arttu, King, Joshua, Ricker, Robert, Hendricks, Stefan, Helm, Veit, Binder, Tobias, Herber, Andreas (2021). Dataset: Airborne low-altitude snow depth on sea ice during aircraft flight P5_205_PAMARCMIP_2017_1703301101, Version 1. https://doi.org/10.1594/PANGAEA.932662

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.932662
Author Jutila, Arttu
Given Name Arttu
Family Name Jutila
More Authors
King, Joshua
Ricker, Robert
Hendricks, Stefan
Helm, Veit
Binder, Tobias
Herber, Andreas
Source Creation 2021
Publication Year 2021
Resource Type text/tab-separated-values - filename: P5_205_PAMARCMIP_2017_1703301101_low_snowdepth_V1
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 .