The dominant role of heavy precipitation in precipitation change despite opposite trends in west and east of northern China

Song, Shikai; Li, Longhui; Chen, Xi; Bai, Jie

doi:10.1002/joc.4290

Cited by 17 publications

(19 citation statements)

References 43 publications

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“…Contributing proportions increased with rain intensity, and heavy rain amounts contributed the most to changes in total rain amounts within all regions. In general, this finding is consistent with the work of Song et al [40] for all of the regions of northwest China, including Xinjiang. Heavy precipitation contributed the most to changes in total rain amounts.…”

Section: The Contribution Of Light Moderate and Heavy Rain To Changsupporting

confidence: 93%

“…For this study, the method introduced by Song et al [40] was employed for classifying precipitation. Daily precipitation at each station from 1960-2014 was first sorted from smallest to largest.…”

Section: Methodsmentioning

confidence: 99%

“…The sums for precipitation amounts were then equally divided into three fractions and two threshold values were determined. Precipitation less than the first threshold was defined as light precipitation, precipitation greater than the first threshold and less than the second threshold was defined as moderate precipitation, and precipitation greater than the second threshold was defined as heavy precipitation [40]. The approach can be used to determine different thresholds in dissimilar regions.…”

Section: Methodsmentioning

confidence: 99%

“…From 1960 to 2014, daily rain from 52 stations in Xinjiang was classified as either light, moderate, or heavy rain based on the method proposed by Song et al [40]. Spatial and temporal trends for rain amounts in these three groups were determined using the Mann-Kendall test and Sen-Thiel method.…”

Section: Spatial and Temporal Variations For Classified Summer Rain Amentioning

confidence: 99%

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Possible Causes for Spatial and Temporal Variation of Warm Season Precipitation in Xinjiang from 1960–2014

et al. 2017

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Abstract:In this work, rain totals from 1960-2014, obtained during the warm season (May to October) from 52 meteorological stations, over Xinjiang, China were classified as either light, moderate, or heavy rain in two sub-regions (northern and southern). Spatial and temporal trends for rain amounts and days for the three rain classes were determined. All light, moderate, and heavy rain amounts displayed increasing trends over the two sub-regions. Furthermore, heavy rain amounts contributed the most to changes in total rain amounts. Light rain days in northern Xinjiang significantly decreased, in contrast to increasing light rain days in southern Xinjiang and moderate and heavy rain days within two sub-regions. Results obtained from correlation and relative weights analyses implied that lower-tropospheric specific humidity was the main factor responsible for light rain day trends in Xinjiang. Increasing temperatures were not found to have a significant effect.

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Section: The Contribution Of Light Moderate and Heavy Rain To Changsupporting

confidence: 93%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Spatial and Temporal Variations For Classified Summer Rain Amentioning

confidence: 99%

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Possible Causes for Spatial and Temporal Variation of Warm Season Precipitation in Xinjiang from 1960–2014

et al. 2017

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“…Joint effects of frequency and intensity cause variations of precipitation in a given time period. In northern China, changes in annual precipitation are mainly caused by heavy precipitation, particularly in northwestern China [30][31][32][33]. Therefore, significant changes in precipitation intensity are expected to have important effects on terrestrial ecosystems.…”

mentioning

confidence: 99%

Effects of Precipitation Intensity and Temperature on NDVI-Based Grass Change over Northern China during the Period from 1982 to 2011

Yuan

Chen

et al. 2015

Remote Sensing

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Abstract:The knowledge about impacts of changes in precipitation regimes on terrestrial ecosystems is fundamental to improve our understanding of global environment change, particularly in the context that heavy precipitation is expected to increase according to the 5th Intergovernmental Panel on Climate Change (IPCC) assessment. Based on observed climate data and the Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modeling and Mapping Studies (GIMMS) satellite-derived normalized difference vegetation index (NDVI), here we analyzed the spatio-temporal changes in grassland NDVI, covering 1.64 × 10 6 km 2 , in northern China and their linkages to changes in precipitation and temperature during the period 1982-2011. We found that mean growing season (April-October) grass NDVI is more sensitive to heavy precipitation than to moderate or light precipitation in both relatively arid areas (RAA) and relatively humid areas (RHA), whereas the sensitivities of grass NDVI to temperature are comparable to total precipitation in RHA. Heavy precipitation showed the strongest impacts in more than half of northern China (56%), whereas impacts of light precipitation on grass NDVI were stronger in some areas (21%), mainly distributed in northwestern China, a typical arid and

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Spatiotemporal variation of temperature, precipitation and wind trends in a desertification prone region of China from 1960 to 2013

Shi

Shan

et al. 2016

Int. J. Climatol.

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Spatial and temporal distributions of temperature, precipitation and wind speed from 1960 to 2013 at 179 meteorological stations situated in the desertification prone region (DPR) of China are analysed using the Mann-Kendall test and the Theil-Sen's slope estimator on monthly, seasonal and annual timescales. The results indicate that annual mean temperature has increased at a rate of 0.33 ∘ C (10 year) −1 over the DPR. T min generally increased at a higher rate than T max in the majority of the months and seasons over the past 54 years; this has resulted in a decrease in the diurnal temperature range. Precipitation increased for the majority of the meteorological stations in the western area of the DPR, and decreased in the eastern area, but few of these trends are statistically significant on all timescales. The majority of meteorological stations recorded a significant decrease in wind speed at the majority of timescales. Results from this investigation show that the climate is becoming warmer and wetter in the western area of the DPR, and warmer and drier in eastern area of the DPR. A greater understanding of how the historical climate has been changing enables scientific support for the adaption of mitigation policies for land desertification/degradation, water resources, ecological projects and agricultural production. These policies will aid in combating the desertification processes, maintaining ecological security and promoting sustainable development in the DPR.

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The dominant role of heavy precipitation in precipitation change despite opposite trends in west and east of northern China

Cited by 17 publications

References 43 publications

Possible Causes for Spatial and Temporal Variation of Warm Season Precipitation in Xinjiang from 1960–2014

Possible Causes for Spatial and Temporal Variation of Warm Season Precipitation in Xinjiang from 1960–2014

Effects of Precipitation Intensity and Temperature on NDVI-Based Grass Change over Northern China during the Period from 1982 to 2011

Spatiotemporal variation of temperature, precipitation and wind trends in a desertification prone region of China from 1960 to 2013

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