Change in Intensity and Frequency of Extreme Precipitation and its Possible Teleconnection With Large‐Scale Climate Index Over the China From 1960 to 2015

Deng, Yue; Jiang, Weiguo; He, Bin; Zheng, Cheng; Jia, Kai

doi:10.1002/2017jd027078

Cited by 82 publications

(52 citation statements)

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“…Deng et al [48] Large-scale climate indices were found to have more influence on frequency rather than intensity of extreme precipitation over China.…”

Section: F Chinamentioning

confidence: 99%

Climate Variability and Floods—A Global Review

Kundzewicz

Szwed

Pińskwar

2019

Water

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There is a strong inter-annual and inter-decadal variability in time series of flood-related variables, such as intense precipitation, high river discharge, flood magnitude, and flood loss at a range of spatial scales. Perhaps part of this variability is random or chaotic, but it is quite natural to seek driving factors, in a statistical sense. It is likely that climate variability (atmosphere–ocean oscillation) track plays an important role in the interpretation of the variability of flood-related characteristics, globally and, even more so, in several regions. The aim of this review paper is to create an inventory of information on spatially and temporally organized links of various climate-variability drivers with variability of characteristics of water abundance reported in scientific literature for a range of scales, from global to local. The climate variability indices examined in this paper are: El Niño-Southern Oscillations (ENSO), North Atlantic Oscillations (NAO), Atlantic Multi-decadal Oscillation (AMO), and Pacific Decadal Oscillations (PDO). A meta-analysis of results from many studies reported in scientific literature was carried out. The published results were collected and classified into categories after regions, climate variability modes, as well as flood-related variables: precipitation, river flow, and flood losses.

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“…Deng et al [48] Large-scale climate indices were found to have more influence on frequency rather than intensity of extreme precipitation over China.…”

Section: F Chinamentioning

confidence: 99%

Climate Variability and Floods—A Global Review

Kundzewicz

Szwed

Pińskwar

2019

Water

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“…Studies around the world have revealed the influences of large-scale circulation changes on weather regimes, climate change, and hydrological variations (Hoerling et al, 2016;Mallakpour and Villarini, 2016;Xiao et al, 2017;Deng et al, 2018). China is mainly influenced by the East Asian Monsoon climate.…”

Section: Introductionmentioning

confidence: 99%

Various characteristics of precipitation concentration index and its cause analysis in China between 1960 and 2016

Zhang

Yao

Qian

et al. 2019

Intl Journal of Climatology

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The precipitation concentration index (PCI) is a powerful indicator for temporal precipitation distribution and is also very useful for the assessment of seasonal precipitation changes. The primary objectives of this study are to investigate and analyse the temporal–spatial variability patterns of annual and seasonal PCI values based on monthly precipitation data. These data were collected from 597 meteorological stations located throughout China, for the time period of 1960–2016, and were used to assess the impacts of geographical parameters (latitude, longitude, and altitude) on the PCI. Additionally, the possible teleconnection with the large‐scale circulation pattern was investigated. Our results reveal that the variation trend of annual PCI values has decreased significantly at a rate of −.234/10 year (α = .01) in China over the past 57 years. For all studied station records, 434 (72.7%) stations showed decreasing trends of PCI values, and these stations are distributed over large areas in China. On an annual scale, the average PCI value ranged from 11 in Hunan province to 44 in Qinghai province. The precipitation concentration in China can be described as strongly irregular in the western and northern parts of the northwest and in the northern region of the Tibetan Plateau, while it is irregular in the southwest and the north of China, and moderately irregular in some parts of the middle‐lower regions of the Yangtze River and southern China. The regularity of the annual precipitation pattern significantly decreased in spring, autumn, and winter from southeastern to northwestern China, and was the most in winter. However, the summer precipitation dispersion and the pattern in the considered period were more regular than those of the other seasons. Furthermore, changes in the PCI appear to be rather complex and possibly related to global atmospheric characteristics as well as geographical factors (latitude, longitude, and altitude). The results presented in this study indicate that the PCI is an essential feature for water resource planning, prediction of risk due to droughts or floods, and the management of natural resources.

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“…The non-parametric Mann-Kendall (M-K) test and Sen's slope estimates were used to calculate trends in the selected time series of temperature and precipitation extremes for the YRB. The M-K test is widely used to analyze the monotonically increasing or decreasing trends in climate change research [43,[52][53][54]. It produces two important parameters: the slope magnitude (change per unit time) in a time series and the statistic Z value that indicates the direction of the trend.…”

Section: Trend Analysismentioning

confidence: 99%

“…The ACPs are commonly expressed by numerical indices determining the intensity of the influence of atmospheric circulation during a specific period in a particular geographical region. Studies around the world revealed the influence of the large-scale atmospheric circulation changes on weather regimes, climate change, and hydrological variations [38][39][40][41][42][43]. China climate types are mainly governed by the East Asian Monsoon.…”

Section: Introductionmentioning

confidence: 99%

“…China climate types are mainly governed by the East Asian Monsoon. Nevertheless, the East Asian Summer Monsoon is significantly influenced by the ENSO [38,44], the PDO [45], the AO [46], the IOD, and the NAO [43]. Global ENSO events, which directly affected the regional precipitation in the river basin, resulted in an approximately 51% decrease in river water discharge to the sea [47].…”

Section: Introductionmentioning

confidence: 99%

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Magnitude and Frequency of Temperature and Precipitation Extremes and the Associated Atmospheric Circulation Patterns in the Yellow River Basin (1960–2017), China

Dong

Zhang

Zhou

et al. 2019

Water

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Since there are many destructive effects caused by extreme climate events in the Yellow River, it is of great theoretical and practical significance to explore the variations of climatic extremes in this key basin. We used a meteorological dataset from 66 stations within the Yellow River basin (YRB) for the period 1960–2017 to calculate magnitude and frequency of precipitation/temperature extremes. We also analyzed the relationships between the main large-scale atmospheric circulation patterns (ACPs) and precipitation/temperature extremes. The trends in precipitation extremes were nonsignificant, only a few stations were characterized by significantly increasing or decreasing anomalies; this indicates the precipitation intensity may have been strengthened, and the extreme rainfall duration appears to have been reduced during 1960–2017. The trends of magnitudes for “cold” extremes were larger than those for “warm” extremes, changes of trends in frost days were higher than those for summer days, and the trends in increasing warm nights were higher than those of warm days. The influence of the El Niño–Southern Oscillation (ENSO) and Arctic Oscillation (AO) on temperature extremes outweighed the influence of the North Atlantic Oscillation (NAO), Indian Ocean Dipole (IOD), and Pacific Decadal Oscillation (PDO) for the other extreme climate indices. The YRB might be at risk of increased extreme high temperature events, and more attention should be paid to this higher risk of extreme climatic events.

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Change in Intensity and Frequency of Extreme Precipitation and its Possible Teleconnection With Large‐Scale Climate Index Over the China From 1960 to 2015

Cited by 82 publications

References 50 publications

Climate Variability and Floods—A Global Review

Climate Variability and Floods—A Global Review

Various characteristics of precipitation concentration index and its cause analysis in China between 1960 and 2016

Magnitude and Frequency of Temperature and Precipitation Extremes and the Associated Atmospheric Circulation Patterns in the Yellow River Basin (1960–2017), China

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