Fast Ice Prediction System (FIPS) for land-fast sea ice at Prydz Bay, East Antarctica: an operational service for CHINARE

被引:15
作者
Zhao, Jiechen [1 ,2 ]
Cheng, Bin [3 ]
Vihma, Timo [3 ]
Heil, Petra [4 ,5 ]
Hui, Fengming [6 ,7 ]
Shu, Qi [2 ,8 ]
Zhang, Lin [1 ]
Yang, Qinghua [7 ,9 ,10 ]
机构
[1] Minist Nat Resources, Natl Marine Environm Forecasting Ctr NMEFC, Key Lab Marine Hazards Forecasting, Beijing 100081, Peoples R China
[2] Qingdao Natl Lab Marine Sci & Technol, Lab Reg Oceanog & Numer Modelling, Qingdao 266237, Peoples R China
[3] Finnish Meteorol Inst FMI, Helsinki 00101, Finland
[4] Australia Antarctic Div, Private Bag 80, Hobart, Tas 7001, Australia
[5] Australian Antarctic Programmer Partnership, Private Bag 80, Hobart, Tas 7001, Australia
[6] Sun Yat Sen Univ, Sch Geospatial Engn & Sci, Zhuhai 519082, Peoples R China
[7] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China
[8] Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China
[9] Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
[10] Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change & Nat Disas, Zhuhai 519082, Peoples R China
基金
芬兰科学院;
关键词
Antarctica; land-fast sea ice; operational service; Prydz Bay; snow and ice thickness; thermodynamic modeling; OCEANIC HEAT-FLUX; ZHONGSHAN STATION; SNOW;
D O I
10.1017/aog.2020.46
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
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.
引用
收藏
页码:271 / 283
页数:13
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