Satellite passive microwave sea-ice concentration data set intercomparison: closed ice and ship-based observations

We report on results of a systematic inter-comparison of 10 global sea-ice concentration (SIC) data products at 12.5 to 50.0 km grid resolution for both the Arctic and the Antarctic. The products are compared with each other with respect to differences in SIC, sea-ice area (SIA), and sea-ice extent...

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Published in:The Cryosphere
Main Authors: S. Kern, T. Lavergne, D. Notz, L. T. Pedersen, R. T. Tonboe, R. Saldo, A. M. Sørensen
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2019
Subjects:
Online Access:https://doi.org/10.5194/tc-13-3261-2019
https://doaj.org/article/49e3f5e85f3844d19a0b6d0d0662961f
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spelling ftdoajarticles:oai:doaj.org/article:49e3f5e85f3844d19a0b6d0d0662961f 2023-05-15T13:46:45+02:00 Satellite passive microwave sea-ice concentration data set intercomparison: closed ice and ship-based observations S. Kern T. Lavergne D. Notz L. T. Pedersen R. T. Tonboe R. Saldo A. M. Sørensen 2019-12-01T00:00:00Z https://doi.org/10.5194/tc-13-3261-2019 https://doaj.org/article/49e3f5e85f3844d19a0b6d0d0662961f EN eng Copernicus Publications https://www.the-cryosphere.net/13/3261/2019/tc-13-3261-2019.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-13-3261-2019 1994-0416 1994-0424 https://doaj.org/article/49e3f5e85f3844d19a0b6d0d0662961f The Cryosphere, Vol 13, Pp 3261-3307 (2019) Environmental sciences GE1-350 Geology QE1-996.5 article 2019 ftdoajarticles https://doi.org/10.5194/tc-13-3261-2019 2022-12-31T05:15:43Z We report on results of a systematic inter-comparison of 10 global sea-ice concentration (SIC) data products at 12.5 to 50.0 km grid resolution for both the Arctic and the Antarctic. The products are compared with each other with respect to differences in SIC, sea-ice area (SIA), and sea-ice extent (SIE), and they are compared against a global wintertime near-100 % reference SIC data set for closed pack ice conditions and against global year-round ship-based visual observations of the sea-ice cover. We can group the products based on the concept of their SIC retrieval algorithms. Group I consists of data sets using the self-optimizing EUMETSAT OSI SAF and ESA CCI algorithms. Group II includes data using the Comiso bootstrap algorithm and the NOAA NSIDC sea-ice concentration climate data record (CDR). The standard NASA Team and the ARTIST Sea Ice (ASI) algorithms are put into group III, and NASA Team 2 is the only element of group IV. The three CDRs of group I (SICCI-25km, SICCI-50km, and OSI-450) are biased low compared to a 100 % reference SIC data set with biases of −0.4 % to −1.0 % (Arctic) and −0.3 % to −1.1 % (Antarctic). Products of group II appear to be mostly biased high in the Arctic by between + 1.0 % and + 3.5 %, while their biases in the Antarctic range from −0.2 % to + 0.9 %. Group III product biases are different for the Arctic, + 0.9 % (NASA Team) and −3.7 % (ASI), but similar for the Antarctic, −5.4 % and −5.6 %, respectively. The standard deviation is smaller in the Arctic for the quoted group I products (1.9 % to 2.9 %) and Antarctic (2.5 % to 3.1 %) than for group II and III products: 3.6 % to 5.0 % for the Arctic and 4.0 % to 6.5 % for the Antarctic. We refer to the paper to understand why we could not give values for group IV here. We discuss the impact of truncating the SIC distribution, as naturally retrieved by the algorithms around the 100 % sea-ice concentration end. We show that evaluation studies of such truncated SIC products can result in misleading statistics and favour data sets ... Article in Journal/Newspaper Antarc* Antarctic Arctic Sea ice The Cryosphere Directory of Open Access Journals: DOAJ Articles Arctic Antarctic The Antarctic The Cryosphere 13 12 3261 3307
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Environmental sciences
GE1-350
Geology
QE1-996.5
spellingShingle Environmental sciences
GE1-350
Geology
QE1-996.5
S. Kern
T. Lavergne
D. Notz
L. T. Pedersen
R. T. Tonboe
R. Saldo
A. M. Sørensen
Satellite passive microwave sea-ice concentration data set intercomparison: closed ice and ship-based observations
topic_facet Environmental sciences
GE1-350
Geology
QE1-996.5
description We report on results of a systematic inter-comparison of 10 global sea-ice concentration (SIC) data products at 12.5 to 50.0 km grid resolution for both the Arctic and the Antarctic. The products are compared with each other with respect to differences in SIC, sea-ice area (SIA), and sea-ice extent (SIE), and they are compared against a global wintertime near-100 % reference SIC data set for closed pack ice conditions and against global year-round ship-based visual observations of the sea-ice cover. We can group the products based on the concept of their SIC retrieval algorithms. Group I consists of data sets using the self-optimizing EUMETSAT OSI SAF and ESA CCI algorithms. Group II includes data using the Comiso bootstrap algorithm and the NOAA NSIDC sea-ice concentration climate data record (CDR). The standard NASA Team and the ARTIST Sea Ice (ASI) algorithms are put into group III, and NASA Team 2 is the only element of group IV. The three CDRs of group I (SICCI-25km, SICCI-50km, and OSI-450) are biased low compared to a 100 % reference SIC data set with biases of −0.4 % to −1.0 % (Arctic) and −0.3 % to −1.1 % (Antarctic). Products of group II appear to be mostly biased high in the Arctic by between + 1.0 % and + 3.5 %, while their biases in the Antarctic range from −0.2 % to + 0.9 %. Group III product biases are different for the Arctic, + 0.9 % (NASA Team) and −3.7 % (ASI), but similar for the Antarctic, −5.4 % and −5.6 %, respectively. The standard deviation is smaller in the Arctic for the quoted group I products (1.9 % to 2.9 %) and Antarctic (2.5 % to 3.1 %) than for group II and III products: 3.6 % to 5.0 % for the Arctic and 4.0 % to 6.5 % for the Antarctic. We refer to the paper to understand why we could not give values for group IV here. We discuss the impact of truncating the SIC distribution, as naturally retrieved by the algorithms around the 100 % sea-ice concentration end. We show that evaluation studies of such truncated SIC products can result in misleading statistics and favour data sets ...
format Article in Journal/Newspaper
author S. Kern
T. Lavergne
D. Notz
L. T. Pedersen
R. T. Tonboe
R. Saldo
A. M. Sørensen
author_facet S. Kern
T. Lavergne
D. Notz
L. T. Pedersen
R. T. Tonboe
R. Saldo
A. M. Sørensen
author_sort S. Kern
title Satellite passive microwave sea-ice concentration data set intercomparison: closed ice and ship-based observations
title_short Satellite passive microwave sea-ice concentration data set intercomparison: closed ice and ship-based observations
title_full Satellite passive microwave sea-ice concentration data set intercomparison: closed ice and ship-based observations
title_fullStr Satellite passive microwave sea-ice concentration data set intercomparison: closed ice and ship-based observations
title_full_unstemmed Satellite passive microwave sea-ice concentration data set intercomparison: closed ice and ship-based observations
title_sort satellite passive microwave sea-ice concentration data set intercomparison: closed ice and ship-based observations
publisher Copernicus Publications
publishDate 2019
url https://doi.org/10.5194/tc-13-3261-2019
https://doaj.org/article/49e3f5e85f3844d19a0b6d0d0662961f
geographic Arctic
Antarctic
The Antarctic
geographic_facet Arctic
Antarctic
The Antarctic
genre Antarc*
Antarctic
Arctic
Sea ice
The Cryosphere
genre_facet Antarc*
Antarctic
Arctic
Sea ice
The Cryosphere
op_source The Cryosphere, Vol 13, Pp 3261-3307 (2019)
op_relation https://www.the-cryosphere.net/13/3261/2019/tc-13-3261-2019.pdf
https://doaj.org/toc/1994-0416
https://doaj.org/toc/1994-0424
doi:10.5194/tc-13-3261-2019
1994-0416
1994-0424
https://doaj.org/article/49e3f5e85f3844d19a0b6d0d0662961f
op_doi https://doi.org/10.5194/tc-13-3261-2019
container_title The Cryosphere
container_volume 13
container_issue 12
container_start_page 3261
op_container_end_page 3307
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