Changes in extreme wet events in Southwestern China in 1960–2011

Cao, Liguo; Pan, Shuguo; Wang, Qiang; Wang, Yun; Xu, Wei

doi:10.1016/j.quaint.2013.11.014

Cited by 13 publications

(6 citation statements)

References 28 publications

(32 reference statements)

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“…(3) On the basis of the results of drought occurrence at 38 stations, the annual and seasonal drought coverage and arithmetic mean value of drought occurrence in NX were calculated for the past 52 years. (4) Trend analysis, wavelet analysis, empirical orthogonal function (EOF) and rotated empirical orthogonal function (REOF) were also applied to investigate the change trend, period and spatial patterns of drought occurrence based on arithmetic mean value of annual and seasonal drought occurrence and drought coverage, respectively (Gong et al, 2013;Cao et al, 2014). The spatial analysis of the times of drought occurrence and EOF mode were interpolated by Kriging method of ArcGIS software (version 10.2).…”

Section: Methodsmentioning

confidence: 99%

Spatio-temporal patterns of drought in North Xinjiang, China, 1961–2012 based on meteorological drought index

Batur

Jusong

et al. 2015

J. Arid Land

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Drought, which is one of the most frequently occurring severe hazards with long time scales and covering wide geographical areas, is a natural phenomenon resulting in significant economic losses in agriculture and industry. Drought is caused by an imbalance between the inputs of and the demand for water which is insufficient to meet the demands of human activities and the eco-environment. As a major arid and semi-arid area and an important agricultural region in Northwest China, North Xinjiang (NX) shows great vulnerability to drought. In this paper, the characteristics of inter-annual and seasonal drought were analyzed in terms of drought occurrence and drought coverage, by using the composite index of meteorological drought and the data of daily precipitation, air temperature, wind speed, relative humidity and sunshine duration from 38 meteorological stations during the period 1961-2012. Trend analysis, wavelet analysis and empirical orthogonal function were also applied to investigate change trend, period and regional characteristics, respectively. In NX, annual and seasonal drought occurrence and drought coverage all showed a decreasing trend that was most significant in winter (with rates of-0.26 month/10a and-15.46%, respectively), and drought occurrence in spring and summer were more frequent than that in autumn and winter. Spatially, drought was severe in eastern regions but mild in western regions of NX. Annual and seasonal drought occurrence at 38 meteorological stations displayed decreasing trends and were most significant in "Shihezi-Urumqi-Changji", which can help to alleviate severe drought hazards for local agricultural production and improve human livelihood. NX can be approximately classified into three sub-regions (severe drought region, moderate drought region and mild drought region), which were calculated from annual drought frequencies. The cross wavelet transform suggested that SOI

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Section: Methodsmentioning

confidence: 99%

Spatio-temporal patterns of drought in North Xinjiang, China, 1961–2012 based on meteorological drought index

Batur

Jusong

et al. 2015

J. Arid Land

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“…The understanding of the spatial and temporal patterns of precipitation change is very important to a country, such as China, where the available water per person is only one-third of the world average [4]. Spatial and temporal changes in precipitation have been studied for different regions in China, for example, Southwestern China [5], Northwestern China [6], the Yangtze River Delta [7], the Zhujiang River Basin [8], and other specific regions [9][10][11][12][13][14][15][16]. These results agree with the literature in that the observed changes in precipitation extremes are much less spatially coherent and statistically significant compared to observed changes in temperature extremes [17,18].…”

Section: Introductionmentioning

confidence: 99%

A Study of Precipitation Patterns through Stochastic Ordering

Zhang

2020

Water

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The study of spatial and temporal changes in precipitation patterns is important to agriculture and natural ecosystems. These changes can be described by some climate change indices. Because these indices often have skewed probability distributions, some common statistical procedures become either inappropriate or less powerful when they are applied to the indices. A nonparametric approach based on stochastic ordering is proposed, which does not make any assumption on the shape of the distribution. This approach is applied to the average length of the period between two adjacent precipitation days, which is called the average number of consecutive dry days (ACDD). This approach is shown to be able to reveal some patterns in precipitation that other approaches do not. Using daily precipitations at 756 stations in China from 1960 to 2015, this work compares the ACDDs in three periods, 1960–1965, 1985–1990, and 2010–2015 for each province in China. The results show that ACDD increases stochastically from the period 1960–1965 to either the period 1985–1990 or the period 2010–2015, or from the period 1985–1990 to the period 2010–2015 in all but three provinces in China.

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“…The precipitation indices include maximum 1-day precipitation, annual total wet-day precipitation, the number of heavy precipitation days and very wet days. Most of the studies are about the frequency or intensity of extreme weather events, such as the frequency of extreme wet events [8], trends of maximum 1-day precipitation, annual total wet-day precipitation, the number of heavy precipitation days and very wet days [9], the tendency of annual mean and extreme precipitation [10].…”

Section: Introductionmentioning

confidence: 99%

A Study for Consecutive Precipitation Pattern Based on Stochastic Ordering

Cai

Zhang

2021

Preprint

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Consecutive precipitation extremes may cause more catastrophes than occasional extreme 9 events. They may pose more serious threats to the safety of people's lives and property. They also 10 can cause great damage to the healthy development of social economy. It is of practical significance 11 to explore this issue. In this work, a nonparametric approach based on stochastic ordering combined 12 with EI Barmi-McKeague test was employed, which is more flexible if the trend is non-monotonic 13 or more complex to model. The average summer consecutive precipitation in 31 provinces of China 14 were compared in three periods, 960-1965, 1985-1990 and 2010-2015. Based on this approach, the 15 results showed that, in 17 out of the 31 provinces, the consecutive precipitation in summer increase 16 stochastically from period 1 to period 2 or period 3, or increase stochastically from period 2 to period 17 3. These 17 provinces mainly located in Northwest and Southeast China. Given the increases in the 18 average summer consecutive precipitation and the high single consecutive precipitation of prov- 19 inces which located in the Southeast China and socio-economic vulnerability to such extremes in 20 China, the local government and relevant national departments should adopt more strategies to 21 alleviate and adapt to the increasing trend of consecutive precipitation extremes.

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Changes in extreme wet events in Southwestern China in 1960–2011

Cited by 13 publications

References 28 publications

Spatio-temporal patterns of drought in North Xinjiang, China, 1961–2012 based on meteorological drought index

Spatio-temporal patterns of drought in North Xinjiang, China, 1961–2012 based on meteorological drought index

A Study of Precipitation Patterns through Stochastic Ordering

A Study for Consecutive Precipitation Pattern Based on Stochastic Ordering

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