Journal
ENVIRONMENTAL RESEARCH LETTERS
Volume 16, Issue 2, Pages -Publisher
IOP Publishing Ltd
DOI: 10.1088/1748-9326/abdc8a
Keywords
heat wave; clustering; Northern East Asia; Eastern Europe; linear baroclinic model
Funding
- National Key Research and Development Program of China [2017YFA0603804]
- National Natural Science Foundation of China [41831174, 41430528]
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In this study, the hierarchical clustering algorithm was used to classify summer heat waves (HWs) in northern East Asia (NEA) into wave-train HW and blocking HW. Over the past 38 years, the wave-train HWs have increased significantly, while no clear trend was observed in blocking HWs. The development of wave-train and blocking indices facilitated the objective identification of HW types and circulation characteristics. Numerical simulations using a linear baroclinic model revealed that wave-train HWs are associated with a heating anomaly over southern Greenland, while blocking HWs are linked to a cooling anomaly over the Barents Sea.
In this study, the hierarchical clustering algorithm was used to cluster the summer heat waves (HWs) in northern East Asia (NEA) into wave-train HW and blocking HW. In the past 38 years, the wave-train HWs have increased significantly, while the blocking HWs have not shown a visible trend. The wave-train index and the blocking index are proposed to objectively identify the HW type after capturing the circulation characteristics of two kinds of HWs. When a wave-train HW occurs in NEA, simultaneous HW will occur in Eastern Europe. However, when a blocking HW occurs in NEA, a negative temperature anomaly will take place in Eastern Europe. The results of numerical simulations using the linear baroclinic model indicate that the wave-train HWs and the blocking HWs are related to the heating anomaly over southern Greenland and the cooling anomaly over the Barents Sea, respectively.
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