Spatial distribution and temporal trends in precipitation extremes over the Hengduan Mountains region, China, from 1961 to 2012

Zhang, Kexin; Pan, Shuguo; Cao, Liguo; Wang, Yun; Zhao, Yifei; Zhang, Wei

doi:10.1016/j.quaint.2014.04.050

Cited by 92 publications

(90 citation statements)

References 35 publications

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“…Precipitation trends over the QTP recorded large regional differences from 1961-2001; increased trends were observed for most regions, especially in eastern and central areas, while the western areas exhibited a decreased trend [25]. However, some investigations on extreme precipitation only involved partial areas of the QTP [26][27][28][29], and precipitation extremes for the entire QTP separated from China have not been previously investigated in detail. Moreover, many studies have confirmed the impact of complex topography over the QTP on spatiotemporal variations of precipitation [30][31][32]; nevertheless, whether and what kind of topographical influence exists in relation to changes of extreme precipitation still needs further study.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, many studies have confirmed the impact of complex topography over the QTP on spatiotemporal variations of precipitation [30][31][32]; nevertheless, whether and what kind of topographical influence exists in relation to changes of extreme precipitation still needs further study. Zhang et al reported there was a negative correlation between precipitation extremes and elevation in the Hengduan Mountains region [29]. Li et al showed that extreme precipitation events mainly increased at lower altitude, and obvious changes existed at summit, flat and valley stations in southwestern China [33].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Precipitation Extremes in the Qinghai-Tibetan Plateau, China: Spatio-Temporal Characteristics and Topography Effects

Shi

Yang

et al. 2017

Atmosphere

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Abstract:Although precipitation extremes exert a major influence on populations and the environment, trend analysis for the entire Qinghai-Tibetan plateau (QTP) has not previously been undertaken. In this study, meteorological data from 83 weather stations was used to analyze the temporal trends and spatial distribution of 10 extreme precipitation indices over the QTP during 1975-2014. The Mann Kendall test and Sen's slope estimator were used to determine significances and magnitudes of station trends. Spatially, stations recording increasing trends were mainly distributed in the southwestern, central and northern regions. Stations with decreasing trends were centered on the eastern and southeastern areas. Temporally, all indices had an increasing trend except for consecutive dry days (CDD) and consecutive wet days (CWD) during the study period. The contribution of extreme precipitation to total precipitation showed a significant increasing trend. These findings may be due to the complex interaction between the large-scale circulation and topography. In general, the changes of extreme precipitation indicated an enhanced tendency, with the frequency, intensity and amount of heavy precipitation increasing over time. Furthermore, altitude dependency of extreme precipitation does not exist in QTP, with topography effects on changes in precipitation extremes being more obvious in the higher elevation, flat, and hill stations.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of Precipitation Extremes in the Qinghai-Tibetan Plateau, China: Spatio-Temporal Characteristics and Topography Effects

Shi

Yang

et al. 2017

Atmosphere

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“…The significant variability in leaf traits reflects their plasticity, and it demonstrates their important roles in the adaptability of this species to alpine environments. During the past five decades, both temperature and precipitation have increased along the southeastern boundary of the Qinghai-Tibet Plateau (Fan et al, 2008;Qin et al, 2010;Zhang et al, 2014a). Along with these climatic changes, the alpine timberline has also risen in this region (Moseley, 2006).…”

Section: Discussionmentioning

confidence: 99%

Variations in Leaf Morphological Traits of Quercus guyavifolia (Fagaceae) were Mainly Influenced by Water and Ultraviolet Irradiation at High Elevations on the Qinghai-Tibet Plateau, China

Sun¹,

Su²,

Zhang

et al. 2016

IJAB

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Leaf morphological traits vary along elevational gradients so that plants can adapt to their surrounding habitat. However, the abiotic factors that shape those traits are still debatable, especially for plants at high elevations where the environment can be very harsh. Quercus guyavifolia H. Léveillé (Fagaceae) is a woody plant found along the southeastern boundary of the Qinghai-Tibet Plateau. Distribution elevations of the species range from 2000 m to 4500 m approximately, providing an excellent opportunity to explore correlations among leaf traits and environmental factors. We used multiple-regression models to investigate spatial trends in leaf morphology and their environmental determinants. As elevation increased, values for leaf area, length, width, the ratio of leaf length to width, shape factor, and petiole length and width decreased significantly and all were positively correlated with mean annual precipitation. Leaf length, the ratio of leaf length to width, and petiole length were negatively correlated with the daily mean maximum intensity of ultraviolet (UV)-B irradiation during the growing season. Our results indicated that the amounts of both precipitation and UV irradiation largely shape the leaf morphology in Q. guyavifolia along the elevation gradient. This study provides evidence for the adaptive plasticity of leaves in response to environments in regions at high elevations.

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“…According to the criteria, 15 El Niño events and 17 La Niña events were picked out during 1961 to 2015, of which a total of six moderate El Niño, nine strong El Niño, six moderate La Niña, and 11 strong La Niña years were showed in Table 2. 1973197419751988198919981999200020072008Moderate 19641970197119851995 In addition, the extreme indices were calculated based on the checked daily precipitation dataset by the RClimDex software (http://etccdi.pacificclimate.org/software.shtml), which was developed and maintained by Xuebin Zhang and Feng Yang at the Climate Research Branch, Meteorological Service of Canada [36,37]. We selected six extreme precipitation indices that are widely used [38][39][40][41] and are consistent with the climatic characteristics of our study area to evaluate the changes of extreme precipitation regimes.…”

Section: Datamentioning

confidence: 99%

Spatiotemporal Characteristics of Extreme Precipitation Regimes in the Eastern Inland River Basin of Inner Mongolian Plateau, China

Duan

Luo

et al. 2018

Water

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Abstract:In this work, we use the gridded precipitation dataset (with a resolution of 0.5 • × 0.5 • ) of the eastern part of inland river basin of Inner Mongolian Plateau from 1961-2015 as the basis and adopt the methods of climatic diagnosis (e.g., the Modified Mann-Kendall method, principal component analysis, and correlation analysis) to analyze the spatial and temporal variations of six extreme precipitation indices. Furthermore, we analyzed the relationship between El Niño-Southern Oscillation (ENSO) events and the observed extreme precipitation. The results indicated that the gridded dataset can be used to describe the precipitation distribution in our study area. In recent 55 years, the inter-annual variation trends of extreme precipitation indices are generally dominated by declination except for the maximum precipitation over five days (RX5DAY) and the heavy precipitation (R95P), in particular, the decreasing regions of consecutive dry days (CDD) accounts for 91% of the entire basin, 17.28% of which is showing the significant downward trend. Contrary to CDD, the spatial distribution of the other five indices is gradually decreasing from northeast to southwest, and the precipitation intensity (SDII) ranges from 3.8-5.3 mm·d −1 , with relatively small spatial differences. To some extent, CDD and R95P can used to characterize the extreme precipitation regimes. Moreover, the number of days with heavy precipitation (RR10), SDII, and R95P are more susceptible to the ENSO events. In addition, the moderate El Niño event may increase the probability of CDD, while the La Niña events may increase the risk of the heavy rainfall regime in the study area.

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Spatial distribution and temporal trends in precipitation extremes over the Hengduan Mountains region, China, from 1961 to 2012

Cited by 92 publications

References 35 publications

Analysis of Precipitation Extremes in the Qinghai-Tibetan Plateau, China: Spatio-Temporal Characteristics and Topography Effects

Analysis of Precipitation Extremes in the Qinghai-Tibetan Plateau, China: Spatio-Temporal Characteristics and Topography Effects

Variations in Leaf Morphological Traits of Quercus guyavifolia (Fagaceae) were Mainly Influenced by Water and Ultraviolet Irradiation at High Elevations on the Qinghai-Tibet Plateau, China

Spatiotemporal Characteristics of Extreme Precipitation Regimes in the Eastern Inland River Basin of Inner Mongolian Plateau, China

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