An analysis of changes in temperature extremes in the Three River Headwaters region of the Tibetan Plateau during 1961–2016

Ding, Zhiyong; Wang, Yuyang; Lu, Ruijie

doi:10.1016/j.atmosres.2018.04.003

Cited by 56 publications

(43 citation statements)

References 48 publications

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“…regional heterogeneity (Dai and Wigley 2000, Pepin and Seidel 2005, You et al 2008b, Ding et al 2018. Our study shows that the variation trend in extreme precipitation indices in the NMR are obviously influenced by longitude, and this may be due to climate warming, enhancing the discrepancy in the thermal properties of land and sea, enhancing the unstable regional climate system and increasing extreme precipitation events (IPCC 2013).…”

Section: Discussionmentioning

confidence: 79%

“…In this study, a total of nine extreme precipitation indices are employed to study the characteristics of extreme precipitation in the NMR (table 1), which are defined and recommended by the Expert Team on Climate Change Detection and Indices (Alexander et al 2006, Stephenson et al 2014, Ding et al 2018, Xi et al 2018. Detailed information about these indices can be found in table 1.…”

Section: Definition Of Extreme Indicesmentioning

confidence: 99%

“…The Pearson correlation analysis method describes the degree of compactness by analyzing the linear relationship magnitude between two variables (Sharma et al 2016, Iqbal and Athar 2017, Ding et al 2018. When the correlation coefficient value is greater than 0, the two variables are positively correlated and are negatively correlated when the coefficient is less than 0.…”

Section: Correlation Analysismentioning

confidence: 99%

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Spatiotemporal variations in extreme precipitation and their potential driving factors in non-monsoon regions of China during 1961–2017

Ding

Wang

2019

Environ. Res. Lett.

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Extreme precipitation events affect the ecological environment and are also important for the sustainable development of regional socioeconomics. Although there are some local studies on extreme precipitation events in which the temporal and spatial variation characteristics of extreme precipitation events in non-monsoon regions (NMRs) are systematically assessed, detailed study on the driving mechanisms of variation are becoming increasingly important. In this study, nine extreme precipitation indices were used to analyze the characteristics of extreme precipitation event spatiotemporal variations in NMRs in China during 1961-2017. The results show that except for the consecutive dry days, which shows a significant decreasing trend (P < 0.01) of −2.33 days/decade, all other indices showed obvious increasing trends, especially the indices of wet day precipitation (PRCPTOT), highest 5 day precipitation (RX5day) and light rain days (R5 mm), with significantly increasing trends (P< 0.01) of 6.80 mm/decade, 0.73 mm/decade and 0.45 days/decade, respectively. In addition, a correlation analysis between altitude, longitude, latitude and extreme precipitation shows that stations at an altitude of more than 3500 m have significant correlations with both extreme precipitation and longitude in NMRs (P< 0.05). In addition, results also indicated that there are significant relationships between extreme precipitation events in NMRs and large-scale ocean-atmosphere circulation patterns (P< 0.05). The rapid increase in extreme precipitation indices over the past 20 years is closely related to the Atlantic Multidecadal Oscillation shift to a warm phase, while the Pacific Decadal Oscillation, El Niño-Southern Oscillation and Summer Monsoon Index show significant correlation with the extreme indices only in certain seasons (P< 0.05).

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Section: Discussionmentioning

confidence: 79%

Section: Definition Of Extreme Indicesmentioning

confidence: 99%

Section: Correlation Analysismentioning

confidence: 99%

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Spatiotemporal variations in extreme precipitation and their potential driving factors in non-monsoon regions of China during 1961–2017

Ding

Wang

2019

Environ. Res. Lett.

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“…Many studies have performed analysis of climate extremes over the entire TP or specific localized regions, such as the eastern and central TP [32], western TP [33], southeastern Tibet [29], and the "three-river headwaters" region [34,35]. However, few studies have examined climate extremes over the YTRB [25,36].…”

Section: Introductionmentioning

confidence: 99%

Observed Changes in Temperature and Precipitation Extremes Over the Yarlung Tsangpo River Basin during 1970–2017

Liu

et al. 2019

Atmosphere

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Twenty-five climate indices based on daily maximum and minimum temperature and precipitation at 15 meteorological stations were examined to investigate changes in temperature and precipitation extremes over the Yarlung Tsangpo River Basin (1970–2017). The trend-free prewhitening (TFPW) Mann–Kendall test and Pettitt’s test were used to identify trends and abrupt changes in the time series, respectively. The results showed widespread significant changes in extreme temperature indices associated with warming, most of which experienced abrupt changes in the 1990s. Increases in daily minimum and maximum temperature were detected, and the magnitude of daily minimum temperature change was greater than that of the daily maximum temperature, revealing an obvious decrease in the diurnal temperature range. Warm days and nights became more frequent, whereas fewer cold days and nights occurred. The frequency of frost and icing days decreased, while summer days and growing season length increased. Moreover, cold spell length shortened, whereas warm spell length increased. Additionally, changes in the precipitation extreme indices exhibited much less spatial coherence than the temperature indices. Spatially, mixed patterns of stations with positive and negative trends were found, and few trends in the precipitation extreme indices at individual stations were statistically significant. Generally, precipitation extreme indices showed a tendency toward wetter conditions, and the contribution of extreme precipitation to total precipitation has increased. However, no significant regional trends and abrupt changes were detected in total precipitation or in the frequency and duration of precipitation extremes.

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“…The analysis of the hydrological behavior over time often uses the Mann Kendall, and Pettitt's nonparametric methods, because of its simplicity and robustness (Ding, Wang & Lu, 2018;Ebrahimian et al, 2018;Xue et al, 2018;Zhang et al, 2018). The Pettitt test, besides verifying stationary in data series, also allows identifying the period in which the change occurred (Ebrahimian et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Nonparametric tests for stationary analysis in hydrological data

Aires

Reis

Campos

2019

J. Env. Anal. Progr.

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One of the main problems for water resources management systems has been the climate change and the intensification of anthropogenic activities in river basins. In this context, this work aimed to analyze the dynamics of land use and cover and its influence on temporal variability on streamflow data. The behavior of hydrological data (streamflow and rainfall) over time was analyzed by applying the nonparametric tests of Mann Kendall and Pettitt. Images derived from orbital sensors using the Random Forest classifier assessed the anthropogenic influence in the area, land use, and cover classification. The rainfall data did not present significant changes over time, according to the applied tests. However, the low annual flow and average annual flow presented nonstationary behavior, with a trend of reduction over time. As rainfall did not change in its patterns over time, the main reason associated with the changes in streamflow regimes was associated with the changes in land use and land cover, especially in the areas for crops, that had an increase of 48% in the study period, which can contribute to increase the demand for water and affect the streamflow. The results obtained confirm the importance of this study for water management systems to adapt itself to the changes in hydrological behavior over time.

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An analysis of changes in temperature extremes in the Three River Headwaters region of the Tibetan Plateau during 1961–2016

Cited by 56 publications

References 48 publications

Spatiotemporal variations in extreme precipitation and their potential driving factors in non-monsoon regions of China during 1961–2017

Spatiotemporal variations in extreme precipitation and their potential driving factors in non-monsoon regions of China during 1961–2017

Observed Changes in Temperature and Precipitation Extremes Over the Yarlung Tsangpo River Basin during 1970–2017

Nonparametric tests for stationary analysis in hydrological data

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