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Free keywords:
CMIP6, extreme rainfall, future projection, Mei-yu, model assessment, synoptic patterns, climate change, CMIP, extreme event, rainfall, summer, synoptic meteorology, China, Lake Baikal, Russian Federation, Yangtze River
Abstract:
It is one of the major challenges in climate science to project future changes in extreme rainfall. To overcome this challenge, in this study, four typical synoptic patterns (SPs) triggering summer extreme rainfall over the middle and lower reaches of Yangtze River (MLYR) are identified through hierarchical clustering. These typical SPs share common characteristics of intensified Mei-yu trough and Western Pacific Subtropical High but differ in terms of mid-latitudes disturbances, such as an intensified ridge (Cluster 1, Cluster 2) or trough (Cluster 3, Cluster 4) near Lake Baikal (Cluster 1, Cluster 3) or Northeast China (Cluster 2, Cluster 4). The linkage between extreme rainfall and typical SPs is verified at various time scales. The typical SPs associated with extreme rainfall are substantially different from the circulation patterns found on ordinary days, and their frequency is significantly correlated with that of extreme rainfall across the interannual scales. Furthermore, the distinct changes in different typical SPs serve as a “bridge” for understanding the long-term impact of circulation changes on local extreme rainfall, even though the two do not appear to be connected at first sight. Specifically, the circulation changes imply more (less) frequent SP-Cluster 1 (SP-Cluster 3), which tends to produce more extreme rainfall to the south (north) of the Yangtze River within MLYR. To project future changes in extreme rainfall, we utilize a weighting method for the multi-model ensemble based on each model's capability to capture the observed typical SPs. This method effectively narrows the inter-model spread. © 2023. American Geophysical Union. All Rights Reserved.
