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Time Series Analysis Of Arctic Sea Ice By Using Multi-source Remotely Sensed Data

Posted on:2018-10-23Degree:MasterType:Thesis
Country:ChinaCandidate:Y J LiuFull Text:PDF
GTID:2310330515497583Subject:Photogrammetry and Remote Sensing
Abstract/Summary:PDF Full Text Request
Sea ice is the most active variable in polar,which can isolate the air and sea.It directly affects energy exchange and material exchange between the ocean and atmosphere through thermodynamic,kinetic process and feedback mechanism that plays an extremely important role on regional or global climate change.With the warming of the Arctic,the Arctic sea ice is rapidly melting,the coverage of sea ice is rapidly reducing,the thickness of sea ice is thinning and a large number of multi-year ice is changing into first year ice.Based on the extraction of different types of sea ice in the Arctic,we can get the details of its coverage and spatial distribution.Then,the time series analysis of the results can help us to understand the trends of the different types of sea ice and their conversion process.On the one hand,the constrained least squares algorithm was used to extract sea ice using SSM/I,SSMIS passive microwave remote sensing data.Then the spatial distribution and coverage area of first year ice and multi-year ice were analyzed.Finally,temperature,wind and other meteorological parameters were added for correlation research.The results show that the coverage area of first year ice is the lowest and the multi-year ice is the highest from October 2004 to May 2005 during the past 11 years.The minimum period of multi-year ice is from October 2011 to May 2012.there is a significant linear negative correlation between the first year ice and multi-year ice,and the change trend of multi-year ice can reflect the change trend of total sea ice better than first year ice.there is a high correlation between the coverage area of multi-year ice and the air temperature.The spatial distribution of multi-year ice is similar to the distribution of the air temperature.The spatial distribution of first year ice is related to the wind field,but the influence is regional.On the other hand,this paper based on the threshold segmentation method to extract the Arctic new ice based on MODIS data.After that,the the spatial distribution and coverage area of the new ice were analyzed.Finally,the correlation was analyzed combined with the surface temperature data of several stations in the Arctic,.The results show that Arctic new ice located in the coastal edge in some regions,such as the Greenland Sea and Baffin Bay,but more located in high latitude waters and far offshore in other regions.Arctic new ice coverage area is slightly increased from June to September,while the variation of the total sea ice coverage area is decreasing rapidly.Compared with 2004,the total sea ice coverage area decreased significantly in the year of 2012,while the new ice decreased slowly.This is because the main contributor to the reduction of total sea ice area is the multi-year ice,and the melting of the multi-year ice create the conditions for the formation of new ice.The change of Arctic sea ice coverage area is related to the change of the near surface temperature.
Keywords/Search Tags:Arctic sea ice, first year ice, multi-year ice, new ice, time-series analysis
PDF Full Text Request
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