Study on Extreme Precipitation Trends in Northeast China Based on Non-Stationary Generalized Extreme Value Distribution
Fangxiu Meng, Kang Xie, Peng Liu, Huazhou Chen, Yirong Jiang

TL;DR
This study analyzes the trends and mechanisms of extreme precipitation in Northeast China from 1959 to 2017 using a non-stationary GEV model, revealing contrasting patterns in early and late summer and their influencing factors.
Contribution
It introduces the first application of a non-stationary GEV model to analyze extreme precipitation trends and mechanisms in Northeast China, considering seasonal differences.
Findings
Negative EP trends in early summer with increasing return levels.
Positive EP trends in late summer with slight decrease in 2-year return level.
EP influenced by northeast cold vortex and cold air effects.
Abstract
Northeast China is the learding food productive base of China. The extreme precipitation (EP) event seriously impacts agricultural production and social life. Given the limited understanding of the EP in Northeast China, we investigate the trend and potential risk of the EP in Northeast China(107 stations) during 1959-2017, especially in early and later summer. For the first time, the non-stationary generalized extreme value (GEV) model is used to analyze the trend and potential risk of EP in Northeast China. Moreover, the mechanisms of EP trends over Northeast China in early and later summer were studied separately. Negative trends dominate EP in early summer but positive trends prevail in last summer. It is reasonable to discuss separately in the two periods. Meanwhile, all return levels are shown to increase trends in EP in early summer, corresponding to more frequent EP events.…
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Taxonomy
TopicsClimate variability and models · Hydrology and Drought Analysis · Climate change impacts on agriculture
