国(境)外文教专家2019年度系列讲座一百二十七:挪威卑尔根大学海洋系主任Nils Gunnar学术报告



Nils Gunnar Kvamst?,Professor, Marine dean, The Faculty of Mathematics and Natural Sciences. His present research interests are in climate dynamics and dynamic meteorology. Most of the studies he has been involved in are associated with numerical simulations of the atmosphere. Most of these simulations are so-called sensitivity experiments where he uses models to study the impact of certain processes or (sea)surface properties on the climate. Research topics he has been involved in: Parameterisation of cloud processes in numerical models, Mesoscale atmospheric dynamics, Climate modeling and climate analysis, Large-scale atmosphere ocean interaction, Large-scale variability and storm-tracks.


       Observed Atmospheric Coupling between Barents Sea Ice and the Warm-Arctic Cold-Siberian Anomaly Pattern

       内容摘要:The decline in Barents Sea ice has been implicated in forcing the warm-Arctic cold-Siberian (WACS) anomaly pattern via enhanced turbulent heat flux (THF). This study investigates interannual variability in winter [DecemberFebruary (DJF)] Barents Sea THF and its relationship to Barents Sea ice and the large-scale atmospheric flow. ERA-Interim and observational data from 1979/80 to 2011/12 are used. The leading pattern (EOF1: 33%) of winter Barents Sea THF variability is relatively weakly correlated (r = 0.30) with Barents Sea ice and appears to be driven primarily by atmospheric variability. The sea ice–related THF variability manifests itself as EOF2 (20%, r = 0.60). THF EOF2 is robust over the entire winter season, but its link to the WACS pattern is not. However, the WACS pattern emerges consistently as the second EOF (20%) of Eurasian surface air temperature (SAT) variability in all winter months. When Eurasia is cold, there are indeed weak reductions in Barents Sea ice, but the associated THF anomalies are on average negative, which is inconsistent with the proposed direct atmospheric response to sea ice variability. Lead–lag correlation analyses on shorter time scales support this conclusion and indicate that atmospheric variability plays an important role in driving observed variability in Barents Sea THF and ice cover, as well as the WACS pattern.








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