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https://doi.org/10.1117/12.219...
Article . 2015 . Peer-reviewed
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On the measure of sea ice area from sea ice concentration data sets

Authors: BOCCOLARI, Mauro; Parmiggiani, Flavio;

On the measure of sea ice area from sea ice concentration data sets

Abstract

The measure of sea ice surface variability provides a fundamental information on the climatology of the Arctic region. Sea ice extension is conventionally measured by two parameters, i.e. Sea Ice Extent (SIE) and Sea Ice Area (SIA), both parameters being derived from Sea Ice Concentration (SIC) data sets. In this work a new parameter (CSIA) is introduced, which takes into account only the compact sea-ice, which is defined as the sea-ice having concentration at least equal the 70%. Aim of this study is to compare the performances of the two parameters, SIA and CSIA, in analyzing the trends of three monthly time-series of the whole Arctic region. The SIC data set used in this study was produced by the Institute of Environmental Physics of the University of Bremen and covers the period January 2003 - December 2014, i.e. the period in which the data set is built using the new AMSR passive microwave sensor. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

Keywords

AMSR-2; AMSR-E; Arctic; sea-ice; SSMIS; Applied Mathematics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic Engineering; Electronic, Optical and Magnetic Materials; Condensed Matter Physics, Climatology, Physical oceanography, Sensors, Physics, Silicon carbide

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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