Evaluation of ArcIOPS sea ice forecasting products during the ninth CHINARE-Arctic in summer 2018

Numerical sea ice forecasting products during the ninth Chinese National Arctic Research Expedition (9th CHINARE-Arctic) from Arctic Ice Ocean Prediction System (ArcIOPS) of National Marine Environmental Forecasting Center of China are evaluated against satellite-retrieved sea ice concentration data...

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Main Authors: Xi, Liang, Fu, Zhao, Chunhua, Li, Lin, Zhang, Bingrui, Li
Format: Article in Journal/Newspaper
Language:English
Published: Polar Research Institute of China - PRIC 2020
Subjects:
Online Access:http://library.arcticportal.org/2710/
http://library.arcticportal.org/2710/1/A2001002.pdf
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spelling ftarcticportal:oai:generic.eprints.org:2710 2023-12-10T09:39:00+01:00 Evaluation of ArcIOPS sea ice forecasting products during the ninth CHINARE-Arctic in summer 2018 Xi, Liang Fu, Zhao Chunhua, Li Lin, Zhang Bingrui, Li 2020-03 application/pdf http://library.arcticportal.org/2710/ http://library.arcticportal.org/2710/1/A2001002.pdf en eng Polar Research Institute of China - PRIC http://library.arcticportal.org/2710/1/A2001002.pdf Xi, Liang and Fu, Zhao and Chunhua, Li and Lin, Zhang and Bingrui, Li (2020) Evaluation of ArcIOPS sea ice forecasting products during the ninth CHINARE-Arctic in summer 2018. Advances in Polar Science, 31 (1). pp. 14-25. Cryosphere Oceans Article PeerReviewed 2020 ftarcticportal 2023-11-15T23:54:41Z Numerical sea ice forecasting products during the ninth Chinese National Arctic Research Expedition (9th CHINARE-Arctic) from Arctic Ice Ocean Prediction System (ArcIOPS) of National Marine Environmental Forecasting Center of China are evaluated against satellite-retrieved sea ice concentration data, in-situ sea ice thickness observations, and sea ice products from Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS). The results show that ArcIOPS forecasts reliable sea ice concentration and thickness evolution. Deviations of the 168 h sea ice concentration and thickness forecasts with respect to the observations are less than 0.2 and 0.36 m. Comparison between outputs of the latest version of ArcIOPS and that of its previous version shows that the latest version has a substantial improvement on sea ice concentration forecasts due to data assimilation of new observational component, the sea surface temperature. Meanwhile, the sea ice volume product of the latest version is more close to the PIOMAS product. In the future, with more and more kinds of observations to be assimilated, the high-resolution version of ArcIOPS will be put into operational running and benefit Chinese scientific and commercial activities in the Arctic Ocean. Article in Journal/Newspaper Advances in Polar Science Arctic Arctic Arctic Ocean Polar Science Polar Science Sea ice Arctic Portal Library Arctic Arctic Ocean
institution Open Polar
collection Arctic Portal Library
op_collection_id ftarcticportal
language English
topic Cryosphere
Oceans
spellingShingle Cryosphere
Oceans
Xi, Liang
Fu, Zhao
Chunhua, Li
Lin, Zhang
Bingrui, Li
Evaluation of ArcIOPS sea ice forecasting products during the ninth CHINARE-Arctic in summer 2018
topic_facet Cryosphere
Oceans
description Numerical sea ice forecasting products during the ninth Chinese National Arctic Research Expedition (9th CHINARE-Arctic) from Arctic Ice Ocean Prediction System (ArcIOPS) of National Marine Environmental Forecasting Center of China are evaluated against satellite-retrieved sea ice concentration data, in-situ sea ice thickness observations, and sea ice products from Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS). The results show that ArcIOPS forecasts reliable sea ice concentration and thickness evolution. Deviations of the 168 h sea ice concentration and thickness forecasts with respect to the observations are less than 0.2 and 0.36 m. Comparison between outputs of the latest version of ArcIOPS and that of its previous version shows that the latest version has a substantial improvement on sea ice concentration forecasts due to data assimilation of new observational component, the sea surface temperature. Meanwhile, the sea ice volume product of the latest version is more close to the PIOMAS product. In the future, with more and more kinds of observations to be assimilated, the high-resolution version of ArcIOPS will be put into operational running and benefit Chinese scientific and commercial activities in the Arctic Ocean.
format Article in Journal/Newspaper
author Xi, Liang
Fu, Zhao
Chunhua, Li
Lin, Zhang
Bingrui, Li
author_facet Xi, Liang
Fu, Zhao
Chunhua, Li
Lin, Zhang
Bingrui, Li
author_sort Xi, Liang
title Evaluation of ArcIOPS sea ice forecasting products during the ninth CHINARE-Arctic in summer 2018
title_short Evaluation of ArcIOPS sea ice forecasting products during the ninth CHINARE-Arctic in summer 2018
title_full Evaluation of ArcIOPS sea ice forecasting products during the ninth CHINARE-Arctic in summer 2018
title_fullStr Evaluation of ArcIOPS sea ice forecasting products during the ninth CHINARE-Arctic in summer 2018
title_full_unstemmed Evaluation of ArcIOPS sea ice forecasting products during the ninth CHINARE-Arctic in summer 2018
title_sort evaluation of arciops sea ice forecasting products during the ninth chinare-arctic in summer 2018
publisher Polar Research Institute of China - PRIC
publishDate 2020
url http://library.arcticportal.org/2710/
http://library.arcticportal.org/2710/1/A2001002.pdf
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Advances in Polar Science
Arctic
Arctic
Arctic Ocean
Polar Science
Polar Science
Sea ice
genre_facet Advances in Polar Science
Arctic
Arctic
Arctic Ocean
Polar Science
Polar Science
Sea ice
op_relation http://library.arcticportal.org/2710/1/A2001002.pdf
Xi, Liang and Fu, Zhao and Chunhua, Li and Lin, Zhang and Bingrui, Li (2020) Evaluation of ArcIOPS sea ice forecasting products during the ninth CHINARE-Arctic in summer 2018. Advances in Polar Science, 31 (1). pp. 14-25.
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