Fast Ice Prediction System (FIPS) for land-fast sea ice at Prydz Bay, East Antarctica: an operational service for CHINARE
A Fast Ice Prediction System (FIPS) was constructed and is the first regional land-fast sea-ice forecasting system for the Antarctic. FIPS had two components: (1) near-real-time information on the ice-covered area from MODIS and SAR imagery that revealed, tidal cracks, ridged and rafted ice regions;...
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ftdoajarticles:oai:doaj.org/article:4a1bb4db9d854bc8b3083634aaa86def 2023-05-15T13:29:34+02:00 Fast Ice Prediction System (FIPS) for land-fast sea ice at Prydz Bay, East Antarctica: an operational service for CHINARE Jiechen Zhao Bin Cheng Timo Vihma Petra Heil Fengming Hui Qi Shu Lin Zhang Qinghua Yang 2020-12-01T00:00:00Z https://doi.org/10.1017/aog.2020.46 https://doaj.org/article/4a1bb4db9d854bc8b3083634aaa86def EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0260305520000464/type/journal_article https://doaj.org/toc/0260-3055 https://doaj.org/toc/1727-5644 doi:10.1017/aog.2020.46 0260-3055 1727-5644 https://doaj.org/article/4a1bb4db9d854bc8b3083634aaa86def Annals of Glaciology, Vol 61, Pp 271-283 (2020) Antarctica land-fast sea ice operational service Prydz Bay snow and ice thickness thermodynamic modeling Meteorology. Climatology QC851-999 article 2020 ftdoajarticles https://doi.org/10.1017/aog.2020.46 2023-03-12T01:31:55Z A Fast Ice Prediction System (FIPS) was constructed and is the first regional land-fast sea-ice forecasting system for the Antarctic. FIPS had two components: (1) near-real-time information on the ice-covered area from MODIS and SAR imagery that revealed, tidal cracks, ridged and rafted ice regions; (2) a high-resolution 1-D thermodynamic snow and ice model (HIGHTSI) that was extended to perform a 2-D simulation on snow and ice evolution using atmospheric forcing from ECMWF: either using ERA-Interim reanalysis (in hindcast mode) or HERS operational 10-day predictions (in forecast mode). A hindcast experiment for the 2015 season was in good agreement with field observations, with a mean bias of 0.14 ± 0.07 m and a correlation coefficient of 0.98 for modeled ice thickness. The errors are largely caused by a cold bias in the atmospheric forcing. The thick snow cover during the 2015 season led to modeled formation of extensive snow ice and superimposed ice. The first FIPS operational service was performed during the 2017/18 season. The system predicted a realistic ice thickness and onset of snow surface melt as well as the area of internal ice melt. The model results on the snow and ice properties were considered by the captain of R/V Xuelong when optimizing a low-risk route for on-ice transportation through fast ice to the coastal Zhongshan Station. Article in Journal/Newspaper Annals of Glaciology Antarc* Antarctic Antarctica East Antarctica Prydz Bay Sea ice Directory of Open Access Journals: DOAJ Articles Antarctic The Antarctic East Antarctica Prydz Bay Zhongshan ENVELOPE(76.371,76.371,-69.373,-69.373) Zhongshan Station ENVELOPE(76.371,76.371,-69.373,-69.373) Annals of Glaciology 61 83 271 283 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Antarctica land-fast sea ice operational service Prydz Bay snow and ice thickness thermodynamic modeling Meteorology. Climatology QC851-999 |
spellingShingle |
Antarctica land-fast sea ice operational service Prydz Bay snow and ice thickness thermodynamic modeling Meteorology. Climatology QC851-999 Jiechen Zhao Bin Cheng Timo Vihma Petra Heil Fengming Hui Qi Shu Lin Zhang Qinghua Yang Fast Ice Prediction System (FIPS) for land-fast sea ice at Prydz Bay, East Antarctica: an operational service for CHINARE |
topic_facet |
Antarctica land-fast sea ice operational service Prydz Bay snow and ice thickness thermodynamic modeling Meteorology. Climatology QC851-999 |
description |
A Fast Ice Prediction System (FIPS) was constructed and is the first regional land-fast sea-ice forecasting system for the Antarctic. FIPS had two components: (1) near-real-time information on the ice-covered area from MODIS and SAR imagery that revealed, tidal cracks, ridged and rafted ice regions; (2) a high-resolution 1-D thermodynamic snow and ice model (HIGHTSI) that was extended to perform a 2-D simulation on snow and ice evolution using atmospheric forcing from ECMWF: either using ERA-Interim reanalysis (in hindcast mode) or HERS operational 10-day predictions (in forecast mode). A hindcast experiment for the 2015 season was in good agreement with field observations, with a mean bias of 0.14 ± 0.07 m and a correlation coefficient of 0.98 for modeled ice thickness. The errors are largely caused by a cold bias in the atmospheric forcing. The thick snow cover during the 2015 season led to modeled formation of extensive snow ice and superimposed ice. The first FIPS operational service was performed during the 2017/18 season. The system predicted a realistic ice thickness and onset of snow surface melt as well as the area of internal ice melt. The model results on the snow and ice properties were considered by the captain of R/V Xuelong when optimizing a low-risk route for on-ice transportation through fast ice to the coastal Zhongshan Station. |
format |
Article in Journal/Newspaper |
author |
Jiechen Zhao Bin Cheng Timo Vihma Petra Heil Fengming Hui Qi Shu Lin Zhang Qinghua Yang |
author_facet |
Jiechen Zhao Bin Cheng Timo Vihma Petra Heil Fengming Hui Qi Shu Lin Zhang Qinghua Yang |
author_sort |
Jiechen Zhao |
title |
Fast Ice Prediction System (FIPS) for land-fast sea ice at Prydz Bay, East Antarctica: an operational service for CHINARE |
title_short |
Fast Ice Prediction System (FIPS) for land-fast sea ice at Prydz Bay, East Antarctica: an operational service for CHINARE |
title_full |
Fast Ice Prediction System (FIPS) for land-fast sea ice at Prydz Bay, East Antarctica: an operational service for CHINARE |
title_fullStr |
Fast Ice Prediction System (FIPS) for land-fast sea ice at Prydz Bay, East Antarctica: an operational service for CHINARE |
title_full_unstemmed |
Fast Ice Prediction System (FIPS) for land-fast sea ice at Prydz Bay, East Antarctica: an operational service for CHINARE |
title_sort |
fast ice prediction system (fips) for land-fast sea ice at prydz bay, east antarctica: an operational service for chinare |
publisher |
Cambridge University Press |
publishDate |
2020 |
url |
https://doi.org/10.1017/aog.2020.46 https://doaj.org/article/4a1bb4db9d854bc8b3083634aaa86def |
long_lat |
ENVELOPE(76.371,76.371,-69.373,-69.373) ENVELOPE(76.371,76.371,-69.373,-69.373) |
geographic |
Antarctic The Antarctic East Antarctica Prydz Bay Zhongshan Zhongshan Station |
geographic_facet |
Antarctic The Antarctic East Antarctica Prydz Bay Zhongshan Zhongshan Station |
genre |
Annals of Glaciology Antarc* Antarctic Antarctica East Antarctica Prydz Bay Sea ice |
genre_facet |
Annals of Glaciology Antarc* Antarctic Antarctica East Antarctica Prydz Bay Sea ice |
op_source |
Annals of Glaciology, Vol 61, Pp 271-283 (2020) |
op_relation |
https://www.cambridge.org/core/product/identifier/S0260305520000464/type/journal_article https://doaj.org/toc/0260-3055 https://doaj.org/toc/1727-5644 doi:10.1017/aog.2020.46 0260-3055 1727-5644 https://doaj.org/article/4a1bb4db9d854bc8b3083634aaa86def |
op_doi |
https://doi.org/10.1017/aog.2020.46 |
container_title |
Annals of Glaciology |
container_volume |
61 |
container_issue |
83 |
container_start_page |
271 |
op_container_end_page |
283 |
_version_ |
1766001278678204416 |