School of Geospatial Engineering and Science, Sun Yat-sen University
& Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai, China
School of Geospatial Engineering and Science, Sun Yat-sen University
& Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai, China
School of Geospatial Engineering and Science, Sun Yat-sen University
& Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai, China
Mohammed Shokr
Meteorological Research Division, Environment and Climate Change
Canada, Toronto, Canada
Laboratoire d'Océanographie Physique et Spatiale (LOPS),
Ifremer-Univ. Brest-CNRS-IRD, IUEM, Plouzané, France
Fengming Hui
School of Geospatial Engineering and Science, Sun Yat-sen University
& Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai, China
Xiao Cheng
School of Geospatial Engineering and Science, Sun Yat-sen University
& Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai, China
School of Geospatial Engineering and Science, Sun Yat-sen University
& Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai, China
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Total article views: 1,935 (including HTML, PDF, and XML)
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1,639
260
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1,935
27
28
HTML: 1,639
PDF: 260
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BibTeX: 27
EndNote: 28
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Total article views: 977 (including HTML, PDF, and XML)
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635
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24
977
8
12
HTML: 635
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Cumulative views and downloads
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Total article views: 2,912 (including HTML, PDF, and XML)
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Total article views: 1,935 (including HTML, PDF, and XML)
Thereof 1,913 with geography defined
and 22 with unknown origin.
Total article views: 977 (including HTML, PDF, and XML)
Thereof 927 with geography defined
and 50 with unknown origin.
Arctic sea ice type (SITY) variation is a sensitive indicator of climate change. This study gives a systematic inter-comparison and evaluation of eight SITY products. Main results include differences in SITY products being significant, with average Arctic multiyear ice extent up to 1.8×106 km2; Ku-band scatterometer SITY products generally performing better; and factors such as satellite inputs, classification methods, training datasets and post-processing highly impacting their performance.
Arctic sea ice type (SITY) variation is a sensitive indicator of climate change. This study...