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Investigation of the Arctic Sea ice volume from 2002 to 2018 using multi‐source data
International Journal of Climatology ( IF 3.9 ) Pub Date : 2020-12-16 , DOI: 10.1002/joc.6972
Mengmeng Li 1, 2, 3 , Chang‐Qing Ke 1, 2, 3, 4 , Xiaoyi Shen 1, 2, 3 , Bin Cheng 5 , Haili Li 1, 2, 3
Affiliation  

The Arctic sea ice volume (SIV) was investigated by applying sea ice concentration (SIC) and multi‐source sea ice thickness (SIT) products from the Pan‐Arctic Ice‐Ocean Modelling and Assimilation System (PIOMAS), Envisat and CryoSat‐2 (CS‐2) products. The SIV was estimated during the sea ice growth season (October–April) from October 2002 to December 2018. During the Envisat period (October 2002–April 2010), negative SIV trends were estimated by a hybrid Envisat and PIOMAS SIT dataset (defined as Envi‐PIO); the declining trends for both the maximum/minimum SIV were 360 and 177 km3⋅year−1, respectively; similar SIV trends were obtained by applying only the PIOMAS SIT data. During the CS‐2 period (October 2010–December 2018), no clear trends in the SIV were estimated by either CS‐2 or PIOMAS, except for clear increases in the SIV in northern Greenland and the Canadian Arctic Archipelago (CAA) using the CS‐2 SIT data. The age of sea ice plays an important role in SIV variability. For example, the SIV trend was found to be similar to the multi‐year ice trend between 2003 and 2007. The correlation coefficients between the monthly mean SIV and surface air temperature (SAT) and sea surface temperature (SST) were −0.60 and −0.82, respectively. The decreasing trend in the SIV during the Envisat period was influenced by the increase in the annual maximum SST and minimum SAT. The significant increase in the SIV in northern Greenland and the CAA during the CS‐2 period was related to ice deformation.

中文翻译:

利用多源数据对2002年至2018年北极海冰量进行调查

北极海冰量(SIV)通过应用来自泛北极海冰建模和同化系统(PIOMAS),Envisat和CryoSat-2的海冰浓度(SIC)和多源海冰厚度(SIT)产品进行了研究(CS-2)产品。SIV是在2002年10月至2018年12月的海冰生长季节(10月至4月)估计的。在Envisat期间(2002年10月至2010年4月),Envisat和PIOMAS SIT混合数据集估计了SIV的负趋势(定义为Envi‐PIO);两者的最大/最小SIV下降趋势是360和177公里3 ⋅year -1, 分别; 仅应用PIOMAS SIT数据即可获得类似的SIV趋势。在CS-2期间(2010年10月至2018年12月),CS-2或PIOMAS均未估计SIV的任何明显趋势,除了格陵兰北部和加拿大北极群岛(CAA)的SIV明显增加外,使用CS-2 SIT数据。海冰的年龄在SIV变异中起着重要作用。例如,发现SIV趋势与2003年至2007年之间的多年冰趋势相似。月平均SIV与地表气温(SAT)和海表温度(SST)之间的相关系数为-0.60和-分别为0.82 在Envisat期间,SIV的下降趋势受到年度最大SST和最小SAT的增加的影响。
更新日期:2020-12-16
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