Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system

Accelerated retreat of Arctic Ocean summertime sea ice has focused attention on the potential use of the Northern Sea Route (NSR), for which sea ice thickness (SIT) information is crucial for safe maritime navigation. This study evaluated the medium-range (lead time below 10 days) forecast of SIT di...

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Published in:The Cryosphere
Main Authors: Nakanowatari, Takuya, Inoue, Jun, Sato, Kazutoshi, Bertino, Laurent, Xie, Jiping, Matsueda, Mio, Yamagami, Akio, Sugimura, Takeshi, Yabuki, Hironori, Otsuka, Natsuhiko
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/tc-12-2005-2018
https://tc.copernicus.org/articles/12/2005/2018/
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spelling ftcopernicus:oai:publications.copernicus.org:tc66471 2023-05-15T15:09:57+02:00 Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system Nakanowatari, Takuya Inoue, Jun Sato, Kazutoshi Bertino, Laurent Xie, Jiping Matsueda, Mio Yamagami, Akio Sugimura, Takeshi Yabuki, Hironori Otsuka, Natsuhiko 2018-09-27 application/pdf https://doi.org/10.5194/tc-12-2005-2018 https://tc.copernicus.org/articles/12/2005/2018/ eng eng doi:10.5194/tc-12-2005-2018 https://tc.copernicus.org/articles/12/2005/2018/ eISSN: 1994-0424 Text 2018 ftcopernicus https://doi.org/10.5194/tc-12-2005-2018 2020-07-20T16:23:15Z Accelerated retreat of Arctic Ocean summertime sea ice has focused attention on the potential use of the Northern Sea Route (NSR), for which sea ice thickness (SIT) information is crucial for safe maritime navigation. This study evaluated the medium-range (lead time below 10 days) forecast of SIT distribution in the East Siberian Sea (ESS) in early summer (June–July) based on the TOPAZ4 ice–ocean data assimilation system. A comparison of the operational model SIT data with reliable SIT estimates (hindcast, satellite and in situ data) showed that the TOPAZ4 reanalysis qualitatively reproduces the tongue-like distribution of SIT in ESS in early summer and the seasonal variations. Pattern correlation analysis of the SIT forecast data over 3 years (2014–2016) reveals that the early summer SIT distribution is accurately predicted for a lead time of up to 3 days, but that the prediction accuracy drops abruptly after the fourth day, which is related to a dynamical process controlled by synoptic-scale atmospheric fluctuations. For longer lead times ( > 4 days), the thermodynamic melting process takes over, which contributes to most of the remaining prediction accuracy. In July 2014, during which an ice-blocking incident occurred, relatively thick SIT ( ∼ 150 cm) was simulated over the ESS, which is consistent with the reduction in vessel speed. These results suggest that TOPAZ4 sea ice information has great potential for practical applications in summertime maritime navigation via the NSR. Text Arctic Arctic Ocean East Siberian Sea Northern Sea Route Sea ice Copernicus Publications: E-Journals Arctic Arctic Ocean East Siberian Sea ENVELOPE(166.000,166.000,74.000,74.000) The Cryosphere 12 6 2005 2020
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Accelerated retreat of Arctic Ocean summertime sea ice has focused attention on the potential use of the Northern Sea Route (NSR), for which sea ice thickness (SIT) information is crucial for safe maritime navigation. This study evaluated the medium-range (lead time below 10 days) forecast of SIT distribution in the East Siberian Sea (ESS) in early summer (June–July) based on the TOPAZ4 ice–ocean data assimilation system. A comparison of the operational model SIT data with reliable SIT estimates (hindcast, satellite and in situ data) showed that the TOPAZ4 reanalysis qualitatively reproduces the tongue-like distribution of SIT in ESS in early summer and the seasonal variations. Pattern correlation analysis of the SIT forecast data over 3 years (2014–2016) reveals that the early summer SIT distribution is accurately predicted for a lead time of up to 3 days, but that the prediction accuracy drops abruptly after the fourth day, which is related to a dynamical process controlled by synoptic-scale atmospheric fluctuations. For longer lead times ( > 4 days), the thermodynamic melting process takes over, which contributes to most of the remaining prediction accuracy. In July 2014, during which an ice-blocking incident occurred, relatively thick SIT ( ∼ 150 cm) was simulated over the ESS, which is consistent with the reduction in vessel speed. These results suggest that TOPAZ4 sea ice information has great potential for practical applications in summertime maritime navigation via the NSR.
format Text
author Nakanowatari, Takuya
Inoue, Jun
Sato, Kazutoshi
Bertino, Laurent
Xie, Jiping
Matsueda, Mio
Yamagami, Akio
Sugimura, Takeshi
Yabuki, Hironori
Otsuka, Natsuhiko
spellingShingle Nakanowatari, Takuya
Inoue, Jun
Sato, Kazutoshi
Bertino, Laurent
Xie, Jiping
Matsueda, Mio
Yamagami, Akio
Sugimura, Takeshi
Yabuki, Hironori
Otsuka, Natsuhiko
Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system
author_facet Nakanowatari, Takuya
Inoue, Jun
Sato, Kazutoshi
Bertino, Laurent
Xie, Jiping
Matsueda, Mio
Yamagami, Akio
Sugimura, Takeshi
Yabuki, Hironori
Otsuka, Natsuhiko
author_sort Nakanowatari, Takuya
title Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system
title_short Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system
title_full Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system
title_fullStr Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system
title_full_unstemmed Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system
title_sort medium-range predictability of early summer sea ice thickness distribution in the east siberian sea based on the topaz4 ice–ocean data assimilation system
publishDate 2018
url https://doi.org/10.5194/tc-12-2005-2018
https://tc.copernicus.org/articles/12/2005/2018/
long_lat ENVELOPE(166.000,166.000,74.000,74.000)
geographic Arctic
Arctic Ocean
East Siberian Sea
geographic_facet Arctic
Arctic Ocean
East Siberian Sea
genre Arctic
Arctic Ocean
East Siberian Sea
Northern Sea Route
Sea ice
genre_facet Arctic
Arctic Ocean
East Siberian Sea
Northern Sea Route
Sea ice
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-12-2005-2018
https://tc.copernicus.org/articles/12/2005/2018/
op_doi https://doi.org/10.5194/tc-12-2005-2018
container_title The Cryosphere
container_volume 12
container_issue 6
container_start_page 2005
op_container_end_page 2020
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