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...
Main Authors: | , , , , |
---|---|
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 |
id |
ftarcticportal:oai:generic.eprints.org:2710 |
---|---|
record_format |
openpolar |
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. |
_version_ |
1784893341789323264 |