Changes in extreme temperature events over the Hindu Kush Himalaya during 1961–2015

Sun, Xiubao; Ren, Guoyu; Shrestha, A. B.; Ren, Yue; You, Qinglong; Zhan, Yun-Jian; Xu, Yong; Rajbhandari, Rupak

doi:10.1016/j.accre.2017.07.001

Cited by 65 publications

(61 citation statements)

References 33 publications

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“…The results are consistent with the findings of Sun et al . ()). However, their trend value (−0.97 day/decade) is slightly low from the present results which could be the result of the different study period.…”

Section: Resultsmentioning

confidence: 94%

“…The trends in the frequency of cold nights (TN10p), cold days (TX10p), and FD have been decreased with −1.09, −1.58, and −1.05 day/decade, respectively. The results are in agreement with the findings of previous studies (Sun et al ., ). They reported a significant decrease in the number of cold nights (TN10p), cold days (TX10p), and FD with −0.98, −0.51, and −3.63 day/decade, respectively, in HKH region including Pakistan.…”

Section: Resultsmentioning

confidence: 97%

“…Furthermore, the extreme temperatures of the warmest day (TXx) and coldest day (TNn) were also increased significantly at the rates of 0.45 and 0.51 °C/decade, respectively. The results are in agreement with the findings of past studies (Klein et al ., ; Sun et al ., ). They reported a significant increase in the number of the warmest day (TXx) and coldest (TNn) at the rates of 0.28, 0.42, and 0.17, 0.73 °C/decade, respectively, in the study area.…”

Section: Resultsmentioning

confidence: 97%

“…The correlation between trends of temperature extreme indices and elevation was determined by the least squares method (Grinstead and Snell, ; Casella and Berger, ; Moore and McCabe, ). In addition, the two‐tailed simple t ‐test method was applied to detect the significance of the linear trends (Sun et al ., ).…”

Section: Methodsmentioning

confidence: 97%

“…The stations were selected on the basis of their vicinity to the CPEC routes, temporal coverage, completeness, and homogeneity of the data. The study has used nine temperature extremes indices selected from the list of 27 extreme climate event indices recommended by the Expert Team for Climate Change Detection Monitoring and Indices ETCCDMI (Zhang et al ., ; Donat et al ., ; Sun et al ., ; ). The selected indices include both percentile‐based (4) and absolute value based (5) indices.…”

Section: Methodsmentioning

confidence: 99%

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Observed changes in temperature extremes over China–Pakistan Economic Corridor during 1980–2016

Ullah

You

Ullah

et al. 2018

Intl Journal of Climatology

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This study uses the daily maximum and minimum temperature data sets of 48 meteorological stations to assess the observed changes in temperature extremes over China–Pakistan Economic Corridor (CPEC) during 1980–2016. The nonparametric Mann–Kendall, Sen's slope estimator, least squares method, and two‐tailed simple t‐test methods were used to assess the trend in nine temperature extreme indices. The results of the study indicated that the trends in annual mean anomalies of cold nights, cold days, and frost days significantly decreased at the rates of −1.09, −1.58, and −1.05 day/decade, respectively. The number of warm nights, warm days, and summer days exhibited significant positive trends at the rates of 1.49, 1.04, and 4.32 day/decade, respectively. In addition, the trends of the warmest day and coldest day also increased significantly at the rates of 0.45 and 0.51 °C/decade, respectively. The trend of diurnal temperature range decreased significantly with −0.35 °C/decade. The spatial distribution of temperature extreme indices indicated that the number of cold nights, cold days, and diurnal temperature range have been decreased, while the trends of warm nights, warm days, summer days, warmest day, and coldest day have been increased over the whole country. Large‐scale atmospheric circulation changes derived from ERA‐Interim reanalysis show that a weak (strong) wind pressure, increasing (decreasing) geopotential height, and rapid warming (cooling) over the northern (southern) region have contributed to the changes in temperature extremes in Pakistan to some extent. With respect to elevation‐dependent warming (EDW), the trends of cold nights, warm days, summer days, warmest day, and diurnal temperature range showed significant positive correlations with increasing elevation. However, the trends of cold days, warm nights, frost days, and coldest day showed significant negative relationships with increasing elevation. The findings of this study will be helpful in the adaptation of climate change and mitigation of climatological disasters in the region. The study recommends that future studies should investigate the natural and anthropogenic drivers of temperature extremes and the possible mechanism of EDW in the CPEC region.

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Section: Resultsmentioning

confidence: 94%

Section: Resultsmentioning

confidence: 97%

Section: Resultsmentioning

confidence: 97%

Section: Methodsmentioning

confidence: 97%