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

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...

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Bibliographic Details
Published in:SPIE Proceedings, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2015
Main Authors: BOCCOLARI, Mauro, Parmiggiani, Flavio
Other Authors: Bostater, C. R., Mertikas, S. P., Neyt, X., Boccolari, Mauro
Format: Conference Object
Language:English
Published: SPIE 2015
Subjects:
AMSR-2
AMSR-E
Arctic
sea-ice
SSMIS
Applied Mathematic
Computer Science Applications1707 Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Electronic
Optical and Magnetic Material
Condensed Matter Physics
Sea ice
Online Access:http://hdl.handle.net/11380/1121957
https://doi.org/10.1117/12.2194087
Description
Summary: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.

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