Modelling snow ice and superimposed ice on landfast sea ice in Kongsfjorden, Svalbard

被引:30
作者
Wang, Caixin [1 ]
Cheng, Bin [2 ]
Wang, Keguang [1 ,3 ]
Gerland, Sebastian [1 ]
Pavlova, Olga [1 ]
机构
[1] Norwegian Polar Res Inst, Fram Ctr, NO-9296 Tromso, Norway
[2] Finnish Meteorol Inst, FI-00101 Helsinki, Finland
[3] Norwegian Meteorol Inst, NO-9293 Tromso, Norway
基金
芬兰科学院;
关键词
Snow ice; superimposed ice; thermodynamic modelling; landfast sea ice; Kongsfjorden; ARCTIC FJORD; MASS-BALANCE; WEDDELL SEA; THICKNESS; VARIABILITY; SENSITIVITY; EXCHANGE; PERIOD; BUDGET; LAKE;
D O I
10.3402/polar.v34.20828
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Snow ice and superimposed ice formation on landfast sea ice in a Svalbard fjord, Kongsfjorden, was investigated with a high-resolution thermodynamic snow and sea-ice model, applying meteorological weather station data as external forcing. The model shows that sea-ice formation occurs both at the ice bottom and at the snow/ice interface. Modelling results indicated that the total snow ice and superimposed ice, which formed at the snow/ice interface, was about 14 cm during the simulation period, accounting for about 15% of the total ice mass and 35% of the total ice growth. Introducing a time-dependent snow density improved the modelled results, and a time-dependent oceanic heat flux parameterization yielded reasonable ice growth at the ice bottom. Model results suggest that weather conditions, in particular air temperature and precipitation, as well as snow thermal properties and surface albedo are the most critical factors for the development of snow ice and superimposed ice in Kongsfjorden. While both warming air and higher precipitation led to increased snow ice and superimposed ice forming in Kongsfjorden in the model runs, the processes were more sensitive to precipitation than to air temperature.
引用
收藏
页数:16
相关论文
共 73 条
[1]   Ice thickness variability, isostatic balance and potential for snow ice formation on ice floes in the south polar Pacific Ocean [J].
Adolphs, U .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1998, 103 (C11) :24675-24691
[2]  
AMAP, 2011, SNOW WAT IC PERM ARC
[3]  
Anderson E.A., 1976, NOAA Tech. Rep. 19
[4]  
Auer A.H., 1974, WEATHERWISE, V27, P67, DOI DOI 10.1080/00431672.1974.9931684
[5]  
Briegleb BP., 2004, Scientific description of the sea ice component in the community climate system model, version three
[6]  
Cheng B., 2003, Geophysica, V39, P31
[7]   Modelling of superimposed ice formation during the spring snowmelt period in the Baltic Sea [J].
Cheng, Bin ;
Vihma, Timo ;
Pirazzini, Roberta ;
Granskog, Mats A. .
ANNALS OF GLACIOLOGY, VOL 44, 2006, 2006, 44 :139-+
[8]   Evolution of snow and ice temperature, thickness and energy balance in Lake Orajarvi, northern Finland [J].
Cheng, Bin ;
Vihma, Timo ;
Rontu, Laura ;
Kontu, Anna ;
Pour, Homa Kheyrollah ;
Duguay, Claude ;
Pulliainen, Jouni .
TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY, 2014, 66
[9]   Modelling snow and ice thickness in the coastal Kara Sea, Russian Arctic [J].
Cheng, Bin ;
Makynen, Marko ;
Simila, Markku ;
Rontu, Laura ;
Vihma, Timo .
ANNALS OF GLACIOLOGY, 2013, 54 (62) :105-113
[10]   Model experiments on snow and ice thermodynamics in the Arctic Ocean with CHINARE 2003 data [J].
Cheng, Bin ;
Zhang, Zhanhai ;
Vihma, Timo ;
Johansson, Milla ;
Bian, Lingen ;
Li, Zhijun ;
Wu, Huiding .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2008, 113 (C9)