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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Investigation of the Arctic Sea ice volume from 2002 to 2018 using multi-source data
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Investigation of the Arctic Sea ice volume from 2002 to 2018 using multi-source data

机译:使用多源数据从2002年到2018年北极海冰卷调查

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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 km(3).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.
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