Snow specific surface area (SSA) calibration measurements during the ALERT2018 campaign

The IceCube is a commercial instrument manufactured by A2 Photonic Sensors that provides specific surface area (SSA). The IceCube measures hemispherical reflectance of a snow sample by illuminating it using a laser diode at a wavelength of 1310 nm. The reflectance is recorded as voltage using a signal-to-reflectance relationship. From the recorded reflectance, SSA is obtained using a radiative transfer model. To obtain reliable SSA values, a smooth surface of the snow sample is required. In some cases, e.g. for brittle depth hoar or large grains, it may be difficult to ensure a flat surface and instead hollows or out sticking grains may occur, increasing the uncertainty of the measurement. The IceCube instrument is calibrated first before each time it is used using six standards. These calibration measurements were obtained in connection to classical snow pits during the ALERT2018 campaign in May 2018 over the sea ice in the Lincoln Sea.

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Cite this as

Jutila, Arttu (2023). Dataset: Snow specific surface area (SSA) calibration measurements during the ALERT2018 campaign. https://doi.org/10.1594/PANGAEA.960158

DOI retrieved: 2023

Additional Info

Field Value
Imported on November 30, 2024
Last update November 30, 2024
License CC-BY-4.0
Source https://doi.org/10.1594/PANGAEA.960158
Author Jutila, Arttu
Given Name Arttu
Family Name Jutila
Source Creation 2023
Publication Year 2023
Resource Type text/tab-separated-values - filename: ALERT2018_snow_icecube_calibration
Subject Areas
Name: LandSurface

Name: Lithosphere

Related Identifiers
Title: C and K band microwave penetration into snow on sea ice studied with off-the-shelf tank radars
Identifier: https://doi.org/10.1017/aog.2023.47
Type: DOI
Relation: References
Year: 2023
Source: Annals of Glaciology
Authors: Jutila Arttu , Haas Christian , Jutila Arttu .

Title: Snow specific surface area (SSA) measurements during the ALERT2018 campaign
Identifier: https://doi.org/10.1594/PANGAEA.960152
Type: DOI
Relation: References
Year: 2023
Authors: Jutila Arttu , Haas Christian , Jutila Arttu .