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Winter snow cover on the sea ice of the Arctic Ocean at the Surface Heat Budget of the Arctic Ocean (SHEBA): Temporal evolution and spatial variability : The surface heat budget of arctic ocen (SHEBA)

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TLDR
In this article, the evolution and spatial distribution of the snow cover on the sea ice of the Arctic Ocean was observed during the Surface Heat Budget of Arctic Ocean (SHEBA) project, and two basic types of snow were present: depth hoar and wind slab.
Abstract
[1] The evolution and spatial distribution of the snow cover on the sea ice of the Arctic Ocean was observed during the Surface Heat Budget of the Arctic Ocean (SHEBA) project. The snow cover built up in October and November, reached near maximum depth by mid-December, then remained relatively unchanged until snowmelt. Ten layers were deposited, the result of a similar number of weather events. Two basic types of snow were present: depth hoar and wind slab. The depth hoar, 37% of the pack, was produced by the extreme temperature gradients imposed on the snow. The wind slabs, 42% of the snowpack, were the result of two storms in which there was simultaneous snow and high winds (>10 m s -1 ). The slabs impacted virtually all bulk snow properties emphasizing the importance of episodic events in snowpack development. The mean snow depth (n = 21,169) was 33.7 cm with a bulk density of 0.34 g cm -3 (n = 357, r 2 of 0.987), giving an average snow water equivalent of 11.6 cm, 25% higher than the amount record by precipitation gauge. Both depth and stratigraphy varied significantly with ice type, the greatest depth, and the greatest variability in depth occurring on deformed ice (ridges and rubble fields). Across all ice types a persistent structural length in depth variations of ∼20 m was found. This appears to be the result of drift features at the snow surface interacting with small-scale ice surface structures. A number of simple ways of representing the complex temporal and spatial variations of the snow cover in ice-ocean-atmosphere models are suggested.

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References
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Journal ArticleDOI

Sea Ice Emissivities and Effective Temperatures at MHS Frequencies: An Analysis of Airborne Microwave Data Measured During Two Arctic Campaigns

TL;DR: The difference between 89- and 157-GHz emissivities is found to be related to both the snow depth and the relative amounts of depth hoar and wind slab within the snowpack.
Journal ArticleDOI

Characterizing winter landfast sea-ice surface roughness in the Canadian Arctic Archipelago using Sentinel-1 synthetic aperture radar and the Multi-angle Imaging SpectroRadiometer

TL;DR: In this article, two satellite datasets are used to characterize winter landfast first-year seaice (FYI), deformed FYI (DFYI) and multiyear sea-ice (MYI) roughness in the Canadian Arctic Archipelago (CAA): (1) optical Multi-angle Imaging SpectroRadiometer (MISR) and (2) synthetic aperture radar Sentinel-1).
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On the suitability of the Thorpe–Mason model for calculating sublimation of saltating snow

TL;DR: In this article, the Thorpe and Mason model for calculating the mass lost from a sublimating snow grain is the basis of all existing small and large scale estimates of drifting snow sublimation and the associated snow mass balance of polar and alpine regions.
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Response of snow thermophysical processes to the passage of a polar low‐pressure system and its impact on in situ passive microwave radiometry: A case study

TL;DR: In this article, the authors investigated the thermophysical response of snow-covered first-year sea ice to a low-pressure disturbance along with its impact on surface-based radiometer brightness temperature measurements.
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Snow depth on Arctic sea ice derived from radar: In situ comparisons and time series analysis

TL;DR: In this article, the authors developed and evaluated the use of a distinct snow layer tracker to measure snow depth based on a Support Vector Machine (SVM) supervised learning algorithm, which is designed to detect both the air-snow and snow-ice interfaces using ultrawideband frequencies from 2 to 8 GHz.
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