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The influence of atmospheric circulation on the occurrence of hail in China
Li Mingxin Department of Atmospheric and Oceanic Sciences, Peking University, Beijing
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Background Trends of hail occurrence Kunz et al. 2009 In light of climate change , it is still a matter of debate whether the number and/or severity of hailstorms has increased over the last decades and is expected to increase in the future. Cao 2008 Xie & Zhang et. al 2008 Changnon & Changnon(2000) Brooks and Dotzek 2008 It has been found that hail occurrence show different trend in the different area of the world. IN North America, an increasing trend was found in Otarria of Cananda, and decreasing trend in United states. I Ueope, Kunz 2009 showed decreasing hail occurrence trend in south of German. In Asia, my student and I found the trend of hail is dereaseing in north China but flat in South China. In the mean while, It has been found that the number of severe storm or thunder storm did not show significant trend in Unite and German, respectivally. Recently we do found the hail frequency are dereasing in Tibetan Plataeu. How to understand the potential effects of global-scale changes on local scale weather is a persistant challenge for reasarch. Understanding the potential effects of global-scale changes on local-scale hail weather is a persistent challenge for research.
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Challenge: the stark mismatch of scale
1 insufficient direct monitoring systems 2 the spatial and temporal resolution of numerical models One of the challenges inherent to understanding hail changes in the context of global climate change is the stark mismatch of scale. Climate models simulate large-scale patterns of change. It requires novel research approaches to connect the questions and processes across both weather and climate scales It requires novel research approaches to connect the questions and processes across both weather and climate scales
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Objective to investigate the effect of large scale circulation to the occurrence of hail and its long term trend in China
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Methodology and Data Objective classification(PCA: T-mode Principal component analysis) Huth (2008) compared the classification methods and proposed that the performance of the T-mode PCA is best in terms of its reproduction of predefined types, its temporal and spatial stability, and its less dependence on pre-set parameters. Datasets NCEP/NCAR reanalysis Hail data at 753 surface stations from information center of CMA
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Seasonal variation of 5-day annual mean hail frequency in China 1960-2012
548 Station
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Seasonal variation and area division
Clocks represent for seasonal variation Small dots show the annual mean hail frequency Four areas are marked with I II III and IV Warm season : Apr—Oct (I III IV) Cold season : Oct—Apr (II)
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Variation of annual mean hail frequency of different regions 1960 -2012
(a) shows the MHD (annual station averaged hail days) in China and a sharp decrease is significant from early 80th. (b) All the four regions had experienced a decrease in the past several decades. But the decrease in South is not that significant than that in other three areas.
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Results of circulation classification in Northern China(1960-2012)
We classify all the days into five circulation types according to 500hPa geopotential height. Above is the annual hail frequency under each type in north.
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Results of circulation classification in Northern China(1960-2012)
Type type 3 GPH500hPa SLP There are powerful low pressure system in both type but with different location.
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Results of circulation classification in Northern China(1960-2012)
Type type 3 Circulation type frequency no obvious long-term trend in circulation frequency Hail decrease greatly from early 90s. Ratio (Hail/circulation)
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Results of circulation classification in Northern China(1960-2012)
Type type 3 SLP before 90s Weather system became weaker after 90s SLP after 90s Type 2 and type 3 are more related with hailstorm. The Weakened weather systems from 90s mainly associated with the hail frequency decrease in the north. The increased CIN after 1990s may inhibit generation of hail. Bigger CIN PDF of CIN
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Thank you
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