Precipitation variability in Northeast China from 1961 to 2008

Liang, Lina; Li, Lijuan; Liu, Qiang

doi:10.1016/j.jhydrol.2011.04.020

Cited by 180 publications

(111 citation statements)

References 29 publications

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“…It is a common method used for statistical diagnosis in modern climatic analysis studies (Donohue et al, 2010;Liang et al, 2010;Liu et al, 2010a). In order to explore the periodicity of TRSR meteorological variables, the complex Morlet wavelet method was used owing to its reliability in detecting signal periodicity (Rigozo et al, 2002;Liang et al, 2010Liang et al, , 2011. The Morlet wavelet developed by Torrence and Compo (1998) was used due to its widespread usage (Rigozo et al, 2002;EL-Askary et al, 2004;Liang et al, 2010; for more details see Liang et al, 2011).…”

Section: Time Series Analysis Methodsmentioning

confidence: 99%

“…In order to explore the periodicity of TRSR meteorological variables, the complex Morlet wavelet method was used owing to its reliability in detecting signal periodicity (Rigozo et al, 2002;Liang et al, 2010Liang et al, , 2011. The Morlet wavelet developed by Torrence and Compo (1998) was used due to its widespread usage (Rigozo et al, 2002;EL-Askary et al, 2004;Liang et al, 2010; for more details see Liang et al, 2011). The Matlab wavelet package developed by Torrence and Compo was used (available online at http://paos.colorado.edu/research/wavelets/).…”

Section: Time Series Analysis Methodsmentioning

confidence: 99%

“…Changes in any climate or variability measurement associated with a particular climate jump can be abrupt (Committee on Abrupt Climate Change, National Research Council, 2002). For this study, Mann-Kendall (Mann, 1945;Kendall, 1948; Sneyers, 1963;Goossens and Berger, 1986;Liu et al, 2008;Liang et al, 2010) and moving t-tests (Wei, 1999;Xiang and Chen, 2006;Zhao and Xu, 2006;Lei et al, 2007;Li and Jiang, 2007;Liang et al, 2010Liang et al, , 2011 were used to detect climate jumps for annual time series on a regional scale (for more details see Liang et al, 2010Liang et al, , 2011. These two approaches complement each other and thus provide a comprehensive climate jump analysis.…”

Section: Time Series Analysis Methodsmentioning

confidence: 99%

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Climate change in the Tibetan Plateau Three Rivers Source Region: 1960-2009

Liang

Liu

et al. 2013

Int. J. Climatol.

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Changes observed in nine meteorological variables obtained from the Three Rivers Source Region (TRSR) between 1960 and 2009 were investigated using a fitted linear model, Mann-Kendall test, moving t-test, and Morlet wavelet. Analysis of the regionally scaled annual series from 1960 to 2009 showed that minimum (T min ), maximum (T max ), mean (T mean ) air temperature, precipitation (P ), potential evaporation (E p ), and sunshine hours (SH ) increased while relative humidity (RH ) and wind speed (W ) decreased. Trends were significant at a 99% confidence level for air temperature and at a 95% confidence level for E p and W . With the exception of SH , regional scale changes observed in all variables in the past decade (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)) when compared to climate norms (means of all climatic variables) from 1961 to 1990 were consistent with their corresponding linear trends from 1960 to 2009. T max , T mean , and drought index (DI ) exhibited one climate jump, T min and RH two, and SH , E p , and W three at a significance level of α = 0.05. On a regional scale, the period from 1986 to 1997 experienced a warmer, drier climate due to higher than average air temperatures, lower P , and higher DI compared to means from 1960 to 2009. The majority of meteorological variables of the TRSR experienced significant (α = 0.05) short periodical cycling between 2 and 5 years. In terms of spatial distribution, seven out of 12 meteorological stations underwent warmer and wetter periods from 1960 to 2009, whereas the other five situated in the southeastern section of the TRSR underwent warmer, drier periods.

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Section: Time Series Analysis Methodsmentioning

confidence: 99%

Section: Time Series Analysis Methodsmentioning

confidence: 99%

Section: Time Series Analysis Methodsmentioning

confidence: 99%

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Climate change in the Tibetan Plateau Three Rivers Source Region: 1960-2009

Liang

Liu

et al. 2013

Int. J. Climatol.

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“…Significant warming has occurred in Northeast China, and coincided with a decline in precipitation (Liang et al, 2011). Droughts have occurred more frequently in the Northeast China, and their impacts are being aggravated by the rising demand for water.…”

Section: Impacts Of Drought Intensity and Duration On Nppmentioning

confidence: 99%

Effects of drought on net primary productivity: Roles of temperature, drought intensity, and duration

Sun¹,

Zhao²,

Wang

2016

Chin. Geogr. Sci.

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Northeast China has experienced frequent droughts over the past fifteen years. However, the effects of droughts on net primary productivity (NPP) in Northeast China remain unclear. In this paper, the droughts that occurred in Northeast China between 1999 and 2013 were identified using the Standardized Precipitation Evapotranspiration Index (SPEI). The NPP standardized anomaly index (NPP-SAI) was used to evaluate NPP anomalies. The years of 1999, 2000, 2001, and 2007 were further investigated in order to explore the influence of droughts on NPP at different time scales (3, 6, and 12 months). Based on the NPP-SAI of normal areas, we found droughts overall decreased NPP by 112.06 Tg C between 1999 and 2013. Lower temperatures at the beginning of the growing season could cause declines in NPP by shortening the length of the growing season. Mild drought or short-term drought with higher temperatures might increase NPP, and weak intensity droughts intensified the lag effects of droughts on NPP.

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“…Recently, investigations on long-term precipitation changes have become more important for developing management strategies that address the hazards in the SHB. Several studies have reported changes in precipitation in Northeast China Liang et al, 2011;Lu et al, 2012;Zhang et al, 2011b). For example, Li et al (2014) assessed the spatio-temporal variability and trends in precipitation by utilizing 1960-2009 meteorological records in the SHB; their results showed that the annual precipitation greatly fluctuated and that a decadal decline has occurred since the 1980s.…”

Section: Introductionmentioning

confidence: 99%

Recent changes in extreme precipitation and drought over the Songhua River Basin, China, during 1960–2013

Song

Sun

et al. 2015

Atmospheric Research

154

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Based on ten indices of extreme precipitation and one drought index (composite index, CI), the trends in extreme events were investigated using a Mann-Kendall non-parametric method at 39 stations in the Songhua River Basin (SHB) during 1960-2013. The regionally averaged wet-day precipitation (PRCPTOT) increased at a rate of 1.65 mm/year (R 2 = 0.28, P = 0.13), in which 82% of the stations experienced increases, but only 4 stations showed significant positive trends. The annual R95 and R99 exhibited slight upward trends at rates of 1.37 (R 2 = 0.21, P = 0.27) and 1.28 mm/year (R 2 = 0.23, P = 0.23) over the last 54 years; however, there were not significant trends in R95 and R99 at the 0.05 level. PRCPTOT, R95 and R99 showed similar spatial trends, in which positive trends mainly occurred in the northern and southeastern basins. The trends in the maximum 1-day precipitation (RX1day) and maximum 5-day precipitation (RX5day) do not show a prevalent trend (approximately 50% of the stations have a positive trend and the remaining stations have a negative trend). The simple daily intensity index (SDII) significantly decreased at an annual rate of 0.02 mm/d during 1960-2013 (R 2 = 0.66, P b 0.01); spatially, 49% of the stations experienced statistically significant decreases at the 0.05 level based on the Mann-Kendall non-parametric test. The regionally averaged heavy (R10mm) and very heavy precipitation days (R20mm) and consecutive wet days (CWD) showed no significant trends during the past 54 years; however, several individual extreme precipitation events, such as the flood of 1998 in the SHB, were well detected by these indices. The regionally averaged consecutive dry days (CDD) significantly increased (R 2 = 0.79, P b 0.01) at a rate of 0.22 days/year from 1960 to 2013. All of the stations exhibited statistically significant increases in CDD, excluding the Tongyu station in the western basin. The monthly RX5day values were highest in summer, from June to August, in the SHB; a peak occurred in July (67.5 mm) in the SHB during 1960-2013. The CI peaked in July, with the highest value of 0.2 in the SHB during 1960-2013. However, the two lowest CI values occurred in spring and fall, with values of −0.56 and −0.41, respectively. During April and May, when most of the spring drought events occur, a prevalent trend does not exist; moreover, almost no stations have statistically significant CI increases. In August and September, respectively 79% and 97% of the stations exhibited a CI negative trend, but only 2 and 6 stations showed significant decreases at the 0.05 level. The increasing extreme climate events present a challenge for local water resources management.

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Precipitation variability in Northeast China from 1961 to 2008

Cited by 180 publications

References 29 publications

Climate change in the Tibetan Plateau Three Rivers Source Region: 1960-2009

Climate change in the Tibetan Plateau Three Rivers Source Region: 1960-2009

Effects of drought on net primary productivity: Roles of temperature, drought intensity, and duration

Recent changes in extreme precipitation and drought over the Songhua River Basin, China, during 1960–2013

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