Influence of ice thickness and surface properties on light transmission through Arctic sea ice

dc.contributor.author Katlein, Christian
dc.contributor.author Arndt, Stefanie
dc.contributor.author Nicolaus, Marcel
dc.contributor.author Perovich, Donald K.
dc.contributor.author Jakuba, Michael V.
dc.contributor.author Suman, Stefano
dc.contributor.author Elliott, Stephen M.
dc.contributor.author Whitcomb, Louis L.
dc.contributor.author McFarland, Christopher J.
dc.contributor.author Gerdes, Rudiger
dc.contributor.author Boetius, Antje
dc.contributor.author German, Christopher R.
dc.date.accessioned 2015-11-20T21:02:19Z
dc.date.available 2015-11-20T21:02:19Z
dc.date.issued 2015-09-04
dc.description © The Author(s), 2015. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Journal of Geophysical Research: Oceans 120 (2015): 5932–5944, doi:10.1002/2015JC010914. en_US
dc.description.abstract The observed changes in physical properties of sea ice such as decreased thickness and increased melt pond cover severely impact the energy budget of Arctic sea ice. Increased light transmission leads to increased deposition of solar energy in the upper ocean and thus plays a crucial role for amount and timing of sea-ice-melt and under-ice primary production. Recent developments in underwater technology provide new opportunities to study light transmission below the largely inaccessible underside of sea ice. We measured spectral under-ice radiance and irradiance using the new Nereid Under-Ice (NUI) underwater robotic vehicle, during a cruise of the R/V Polarstern to 83°N 6°W in the Arctic Ocean in July 2014. NUI is a next generation hybrid remotely operated vehicle (H-ROV) designed for both remotely piloted and autonomous surveys underneath land-fast and moving sea ice. Here we present results from one of the first comprehensive scientific dives of NUI employing its interdisciplinary sensor suite. We combine under-ice optical measurements with three dimensional under-ice topography (multibeam sonar) and aerial images of the surface conditions. We investigate the influence of spatially varying ice-thickness and surface properties on the spatial variability of light transmittance during summer. Our results show that surface properties such as melt ponds dominate the spatial distribution of the under-ice light field on small scales (<1000 m2), while sea ice-thickness is the most important predictor for light transmission on larger scales. In addition, we propose the use of an algorithm to obtain histograms of light transmission from distributions of sea ice thickness and surface albedo. en_US
dc.description.sponsorship U.S. National Science Foundation Office of Polar Programs NSF OPP ANT-1126311, National Oceanic and Atmospheric Administration Office of Exploration and Research NOAA OER NA14OAR4320158, European Research Council Advanced Investigator Grant Number: 294757 en_US
dc.format.mimetype application/pdf
dc.identifier.citation Journal of Geophysical Research: Oceans 120 (2015): 5932–5944 en_US
dc.identifier.doi 10.1002/2015JC010914
dc.identifier.uri https://hdl.handle.net/1912/7637
dc.language.iso en_US en_US
dc.publisher John Wiley & Sons en_US
dc.relation.uri https://doi.org/10.1002/2015JC010914
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Melt ponds en_US
dc.subject Light transmittance en_US
dc.subject Albedo en_US
dc.subject ROV en_US
dc.subject Spatial variability en_US
dc.subject Shortwave radiation en_US
dc.title Influence of ice thickness and surface properties on light transmission through Arctic sea ice en_US
dc.type Article en_US
dspace.entity.type Publication
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