Analysis on long-term variability of sea ice albedo and its relationship with sea ice concentration over Antarctica

Minji Seo; Hyun-cheol Kim; Noh-hun Seong; Chaeyoung Kwon; Honghee Kim; Kyung-Soo Han

doi:10.1117/12.2240156

19 October 2016 Analysis on long-term variability of sea ice albedo and its relationship with sea ice concentration over Antarctica

Minji Seo, Hyun-cheol Kim, Noh-hun Seong, Chaeyoung Kwon, Honghee Kim, Kyung-Soo Han

Author Affiliations +

Proceedings Volume 9999, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016; 99990T (2016) https://doi.org/10.1117/12.2240156
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

Abstract

Sea ice is an important factor for understanding Antarctic climate change. Especially, annual change of sea ice shows different trend in Antarctica and Arctic. This different variation need to continuously observe the Polar Regions. Sea Ice Albedo (SIA) and Sea Ice Concentration (SIC) are an indicator of variation on sea ice. In addition, albedo is key parameter to understand the energy budget in Antarctica. This being so, it is important to analyze long-term variation of the two factors for observing of change of Antarctic environment. In this study, we analyzed long-term variability of SIC and SIA to understand the changes of sea ice over Antarctic and researched the relationship with two factors. We used the SIA data at The Satellite Application Facility on Climate Monitoring (CM SAF) and the SIC data provided by Ocean and Sea Ice Satellite Application Facility (OSI-SAF) from 1982 to 2009. The study period was selected to Antarctic summer season due to polar nights. We divided study periods into two terms, Nov-Dec(ND) and Jan-Feb(JF) in order to reflect the characteristics of sea ice area, which minimum extend occurred in September and maximum extend occurred in February. We analyzed the correlation between SIA and SIC. As a results, two variables have a strong positive correlation (each correlation coefficients are 0.91 in Nov-Dec and 0.90 in Jan-Feb). We performed time series analysis using linear regression to understand the spatial and temporal tendency of SIA and SIC. As a results, SIA and SIC have a same spatial trend such as Weddle sea and Ross sea sections show the positive trend and Bellingshausen Amundsen sea shows the negative trend of two factors. Moreover, annual SIA change rate is 0.26% ~ 0.04% yr^-1 over section where represent positive trend during two study periods. And annual SIA change rate is - 0.14 ~ - 0.25 % yr^-1 of in the other part where represent negative trend during two study periods.

Citation Download Citation

Minji Seo, Hyun-cheol Kim, Noh-hun Seong, Chaeyoung Kwon, Honghee Kim, and Kyung-Soo Han "Analysis on long-term variability of sea ice albedo and its relationship with sea ice concentration over Antarctica", Proc. SPIE 9999, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016, 99990T (19 October 2016); https://doi.org/10.1117/12.2240156

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