Program  
 
The Arctic Ocean: Physical Processes and their Effects on Climate and the Ecosystem
 

 
 
1450
Arctic Sea Ice Melt Onset Analysis
Wednesday 9th @ 1450-1510, Conference Room 5
Hongjie Liang* , Ocean University of China
Jie Su, Ocean University of China
Presenter Email: daniel_liang@outlook.com
Melt onset, which has a potential effect on energy budget through positive ice-albedo-feedback, could act as one of the representative features indicating the changes of Arctic sea ice. Based on previous studies, some new characteristics of melt onset are further reflected in this research. Nowadays, there are two public available remote retrievals based on the algorithm of AHRA from Drobot and Anderson (2001) and PMW from Markus et al., (2009), respectively. Like previous researches, sea ice melt onsets are generally evaluated by the surface air temperature. Different from existing researches, the two melt onset datasets, from NSIDC and NASA Cryosphere, are compared with POLES surface air temperature, which has been proved to perform better than NCEP R1 and CFSR by the validation of Weather Underground observation. Comparison shows that melt onset results from NASA Cryosphere are more consistent with POLES. Then it is used to analyze the characteristics and mechanisms of melt onset. Probability distribution function shows that strength of concentrated melting increased from 1979 to 2016, which means the Arctic changes more consistently in broader region. For example, from 1979 to 1987, the probability basically keeps below 0.2 based on 10-day groups, but it could almost reach to 0.3 from 2007 to 2016. Upon the annual variability, another dominant phenomenon happened during the end of 1980s when the Pacific Arctic region experienced obviously earlier sea ice melt onset, which reached to about 20 days earlier in two years and was consistent with previous research about the abrupt changes caused by the shift of AO.
 
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