Observed changes in precipitation extremes across 11 basins in China during 1961–2013

Wu, Xushu; Wang, Zhaoli; Zhou, Xiaowen; Lai, Chengguang; Lin, Wenjun; Chen, Xiaohong

doi:10.1002/joc.4524

Cited by 59 publications

(39 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regarding temporal pattern, the most extreme precipitation indices showed increasing trends in the Tibetan Plateau from 1986 to 2015 (except CWD), and CDD, SDII, and R99 passed 0.05 statistically significance. These results were consistent with previous studies in China, Xinjiang Province and the southwest China (Table 7) [57][58][59], which also showed similar variations on smaller regional scales (e.g., the western Tibetan Plateau and Three-River Headwaters region [48,60]). These results indicate that extreme precipitation events were more frequent across the Tibetan Plateau.…”

Section: Spatio-temporal Variability Of Extreme Precipitationsupporting

confidence: 93%

Spatial and Temporal Patterns of the Extreme Precipitation across the Tibetan Plateau (1986–2015)

Xiong

Yong

Wang

et al. 2019

Water

View full text Add to dashboard Cite

The Tibetan Plateau is one of the most vulnerable areas to extreme precipitation. In recent decades, water cycles have accelerated, and the temporal and spatial characteristics of extreme precipitation have undergone dramatic changes across the Tibetan Plateau, especially in its various ecosystems. However, there are few studies that considered the variation of extreme precipitation in various ecosystems, and the impact of El Niño-Southern Oscillation (ENSO), and few researchers have made a quantitative analysis between them. In this study, we analyzed the spatial and temporal pattern of 10 extreme precipitation indices across the Tibetan Plateau (including its four main ecosystems: Forest, alpine meadow, alpine steppe, and desert steppe) based on daily precipitation from 76 meteorological stations over the past 30 years. We used the linear least squares method and Pearson correlation coefficient to examine variation magnitudes of 10 extreme precipitation indices and correlation. Temporal pattern indicated that consecutive wet days (CWD) had a slightly decreasing trend (slope = −0.006), consecutive dry days (CDD), simple daily intensity (SDII), and extreme wet day precipitation (R99) displayed significant increasing trends, while the trends of other indices were not significant. For spatial patterns, the increasing trends of nine extreme precipitation indices (excluding CDD) occurred in the southwestern, middle and northern regions of the Tibetan Plateau; decreasing trends were distributed in the southeastern region, while the spatial pattern of CDD showed the opposite distribution. As to the four different ecosystems, the number of moderate precipitation days (R10mm), number of heavy precipitation days (R20mm), wet day precipitation (PRCPTOT), and very wet day precipitation (R95) in forest ecosystems showed decreasing trends, but CDD exhibited a significant increasing trend (slope = 0.625, P < 0.05). In the other three ecosystems, all extreme precipitation indices generally exhibited increasing trends, except for CWD in alpine meadow (slope = −0.001) and desert steppe (slope = −0.005). Furthermore, the crossover wavelet transform indicated that the ENSO had a 4-year resonance cycle with R95, SDII, R20mm, and CWD. These results provided additional evidence that ENSO play an important remote driver for extreme precipitation variation in the Tibetan Plateau. and snowstorms caused by extreme precipitation events, have an adversely effect on ecosystems, agriculture, industry, and socioeconomic development [2,3]. Thus, the occurrences of extreme climate events and their trends have become the focus of most climate change studies. In the global, extreme precipitation probability have shown an increasing trend, and the total amount of extreme precipitation has increased significantly, and also the tropic region has the most extreme precipitation events [4,5]. Additionally, they have more areas with significant increasing trends in extreme precipitation amounts, intensity, and frequency than areas with decreasing trends ...

show abstract

Section: Spatio-temporal Variability Of Extreme Precipitationsupporting

confidence: 93%

Spatial and Temporal Patterns of the Extreme Precipitation across the Tibetan Plateau (1986–2015)

Xiong

Yong

Wang

et al. 2019

Water

View full text Add to dashboard Cite

show abstract

“…As expected, the RX5DAY distribution for return periods (Figure (b)) is very similar to the RX1DAY distribution. The main reason for the phenomenon is that the south‐eastern area of China is near the Pacific, as a result of which it is easier for water vapor to transfer and is more likely to be effected by the East Asian summer monsoon (EASM, more detail definition can be found in http://ljp.gcess.cn/dct/page/1), the South Asian summer monsoon (SASM) and El Niño Southern Oscillation (ENSO) (Xiao et al ., ; Wu et al ., ). In contrast, northwest inland far away from the ocean is subject to the influence of a weakened Asian summer monsoon, for which the amount of water vapor transmission would thus greatly reduce and accordingly rainfall intensity would become small, implying a low risk of flooding in these regions.…”

Section: Discussionmentioning

confidence: 99%

A regional frequency analysis of precipitation extremes in Mainland China with fuzzy c‐means and L‐moments approaches

Wang

Zeng

Lai

et al. 2017

Intl Journal of Climatology

Self Cite

View full text Add to dashboard Cite

Owing to their essential influence on human society and natural environment exerted by inducing disasters, such as floods and droughts, further studies on precipitation extremes in China are needed. This study presents the regional frequency and spatial‐temporal patterns of precipitation extremes in China based on a high‐resolution (0.5° × 0.5°) daily precipitation dataset from 1961 to 2013. With fuzzy c‐means, L‐moments methods and other scientific statistical tests, a regional frequency analysis (RFA) is conducted, aiming to further understand the regional and spatial distribution of precipitation extremes across China. The results show that: (1) the whole Mainland China can be divided into 50 homogeneous regions on the basis of the characteristics of mean annual precipitation and location indices. (2) For most of the regions, Generalized Extreme Value (GEV), Generalized Normal (GNO) and Pearson type III (PE3) distributions of precipitation extremes fit well, according to the results of goodness‐of‐fit (GOF) test. (3) For RX1DAY, GEV has the best‐fit distribution in the east, northeast and southwest of China, whereas GNO distribution mostly fits the northern and parts of southwest and southeast; in addition, regions which fit PE3 and Generalized Logistic (GLO) distribute dispersedly across the country. (4) For RX5DAY, GEV mainly fits in the middle, southwestern and southern; GNO and PE3 apply best to the northeastern and northern, respectively. (5) Return periods of 20, 50 and 100 years for their best‐fit distributions decrease gradually from southeastern China to northwestern China. Compared with the results of GEV distribution fitted to each grid, RFA may provide more accurate estimates of rainfall quantiles. Definitely, the study results will not only benefit further understanding of the unique and complex features of extreme precipitation in the whole Mainland China but also contribute to the nation‐scale flood prevention, control and management in the backdrop of the changing climate.

show abstract

“…e change trend of high temperature days is also different. ere is a significant decreasing trend in the middle and lower reaches of the Yangtze River, while there is an increasing trend in the upper reaches [15].…”

Section: Introductionmentioning

confidence: 89%

“…From the aforementioned studies, it is clear that due to global warming, extreme temperature indices in different regions do respond differently, and the variation range of cold and warm indices in different regions varies from day to night. Overall, studies show that the frequency and intensity of cold wave events in most parts of China have significantly decreased, but the intensity of heat wave events in China shows regional asymmetry [15][16][17]. e frequency of heat wave events has strong interdecadal characteristics, and the long-term linear trend is not obvious.…”

Section: Introductionmentioning

confidence: 99%

Climate Change Characteristics of Extreme Temperature in the Minjiang River Basin

Chen

Zhang

et al. 2019

Advances in Meteorology

View full text Add to dashboard Cite

Based on the daily temperature data from 26 meteorological stations in the Minjiang River Basin, for 1961 to 2016, the temporal trend and spatial distribution of extreme temperature in this region were analyzed using 16 extreme temperature indices. e results show that in terms of time variation, determined using linear trend analysis and a Mann-Kendall trend test, the warm and day indices mainly show an upward trend while the cold and night indices mainly show a downward trend in the entire basin. Among them, FD0, TN10, and CSDI significantly decrease at −1.3, −2.9, and −1.1 d/10a, respectively. TN90, TX90, SU25, and TR20 significantly increase at 3.0, 2.6, 2.1, and 2.2 d/10a, respectively. e crop growth period in the basin showed a significant increasing trend at 1.4 days/decade, while the diurnal temperature range showed a nonsignificant increasing trend at 0.03 days/ decade. On comparing the change range of each index, it was found that the change range of the warm index is greater than that of the cold index, while the change range of the day index is smaller than that of the night index; thus, the change trends of the maximum and minimum temperatures in the whole basin are not obvious. Analysis of the changing trend at each station showed that the relative index of the extreme temperature in the basin has good climatic consistency in terms of spatial distribution. e distributions of the absolute and extreme indices are not uniform, which is consistent with the change in elevation in the basin. Further, the diurnal temperature range in the upper reaches of the basin is greater than that in the middle and lower reaches. However, because of the more obvious upward trends of the day and warm indices in the middle and lower reaches, and the more obvious downward trends of the night and cold indices in the upper reaches, the daily temperature differences in the upper, middle, and lower reaches of the Minjiang River Basin tend to be consistent. erefore, the precipitation in the Minjiang River Basin shows a significant decreasing trend; thus, the basin shows a trend of drying and warming.

show abstract

Observed changes in precipitation extremes across 11 basins in China during 1961–2013

Cited by 59 publications

References 61 publications

Spatial and Temporal Patterns of the Extreme Precipitation across the Tibetan Plateau (1986–2015)

Spatial and Temporal Patterns of the Extreme Precipitation across the Tibetan Plateau (1986–2015)

A regional frequency analysis of precipitation extremes in Mainland China with fuzzy c‐means and L‐moments approaches

Climate Change Characteristics of Extreme Temperature in the Minjiang River Basin

Contact Info

Product

Resources

About