Spring snow conditions on Arctic sea ice north of Svalbard, during the Norwegian Young Sea ICE (N-ICE2015) expedition

被引:22
作者
Gallet, Jean-Charles [1 ]
Merkouriadi, Ioanna [1 ]
Liston, Glen E. [2 ]
Polashenski, Chris [3 ]
Hudson, Stephen [1 ]
Rosel, Anja [1 ]
Gerland, Sebastian [1 ]
机构
[1] Norwegian Polar Res Inst, Tromso, Norway
[2] Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80523 USA
[3] US Army Cold Reg & Engn Lab Alaska, Ft Wainwright, AK USA
关键词
THERMAL-CONDUCTIVITY; MODEL; VARIABILITY; THICKNESS; EVOLUTION; 1ST-YEAR; DENSITY; SYSTEM;
D O I
10.1002/2016JD026035
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Snow is crucial over sea ice due to its conflicting role in reflecting the incoming solar energy and reducing the heat transfer so that its temporal and spatial variability are important to estimate. During the Norwegian Young Sea ICE (N-ICE2015) campaign, snow physical properties and variability were examined, and results from April until mid-June 2015 are presented here. Overall, the snow thickness was about 20 cm higher than the climatology for second-year ice, with an average of 55 +/- 27 cm and 32 +/- 20 cm on first-year ice. The average density was 350-400 kg m(-3) in spring, with higher values in June due to melting. Due to flooding in March, larger variability in snow water equivalent was observed. However, the snow structure was quite homogeneous in spring due to warmer weather and lower amount of storms passing over the field camp. The snow was mostly consisted of wind slab, faceted, and depth hoar type crystals with occasional fresh snow. These observations highlight the more dynamic character of evolution of snow properties over sea ice compared to previous observations, due to more variable sea ice and weather conditions in this area. The snowpack was isothermal as early as 10 June with the first onset of melt clearly identified in early June. Based on our observations, we estimate than snow could be accurately represented by a three to four layers modeling approach, in order to better consider the high variability of snow thickness and density together with the rapid metamorphose of the snow in springtime.
引用
收藏
页码:10820 / 10836
页数:17
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