Program

 
Special Session 5: Ocean-atmosphere interaction, multi-scale climate variability and their implication for biogeochemical processes
 
 
 
Poster
Comparative analysis for impacts of ENSO and Arctic Sea ice reduction on the extreme winter cold events in China
SS5-06-S
Ju Huang* , Institute of Atmospheric Physics
Shuanglin Li, Institute of Atmospheric Physics
Presenter Email: 1058911774@qq.com
Climate systems in the Arctic have changed a lot since the 21st century and Arctic sea ice melt is a significant part of it. The reliable sea ice observational data after 1979 indicates that Arctic sea ice extent decreases most fast in September. Previous studies documented that a fall Arctic sea ice reduction brings colder conditions in mid-high latitudes in the following winter. This factor which has significant influence on Eurasia winter climate and weather exists regional differences. So, how Arctic sea ice extent change influence the extreme winter cold events in China? Since the sea ice observational data’s time range is short, cases of extreme Arctic sea ice loss or increase on interannual time scales are very limited. Besides, relevant studies show that a cold phase of ENSO often corresponds to a colder winter in Eurasia. So the impacts of ENSO on the extreme winter cold events should be considered. The influences of the both two factors have been compared, meanwhile, their collaborative influence has also been discussed. Based on the homogeneous daily mean temperature data of 194 stations in China during winter (December-February) from 1979 to 2015, the frequency and strength of extreme winter cold events are analyzed and compared in different Arctic sea ice extent change and ENSO cases as well as in sub-regions. Meanwhile the circulation characteristics of extreme winter cold events in different backgrounds are analyzed. The result show that: ENSO and Arctic sea ice extent change have significant influences on extreme winter cold events in China and the responses have variant spatial distributions in different cases.