Spatio-Temporal Variations in the Temperature and Precipitation Extremes in Yangtze River Basin, China during 1961–2020

Yuan, Zhe; Yin, Jun; Wei, Mengru; Yuan, Yanbin

doi:10.3390/atmos12111423

Cited by 14 publications

(3 citation statements)

References 66 publications

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“…The nine precipitation indices show an overall upward trends of the intensity and frequency of extreme precipitation in the MLYR from 1979 to 2015 (Cui et al, 2012;Tian et al, 2017), which may be related to the strengthening of the East Asian summer monsoon. Both CWD and RX1day increase significantly, while R25mm, R99, PRCPTOT and RX5day showed an insignificant increasing trend (Yuan et al, 2021), and CDD tends to decrease. It means that the number of continuous dry days in the MLYR will decline, the precipitation of a single day or consecutive days will rise, both the amount of extremely heavy precipitation and the total precipitation are going to ascent, which is more likely to result in extreme precipitation events (Yu and Zhai, 2021;Yue et al, 2021).…”

Section: Temporal Variation Characteristics Of Extreme Precipitation ...mentioning

confidence: 88%

Spatial-temporal variations of extreme precipitation indices and their linkage with atmospheric circulation in the middle and lower reaches of the Yangtze River

Yang

Huang

et al. 2022

Preprint

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Under the background of climate change, increasing frequency and intensity of extreme precipitation causes serious impacts and huge losses to society and economy. It is significant to analyze the spatial and temporal variation of extreme precipitation for regional risk assessment. Nine extreme precipitation indices were calculated using the daily precipitation data of the middle and lower reaches of the Yangtze River (MLYR) from 1979 to 2015. Linear trend analysis and the Mann-Kendall trend test were carried out to determine the variation trend of the nine extreme precipitation indices. In addition, the potential influences of anomalous atmospheric circulation factors on extreme precipitation were explored using the wavelet coherence analysis technique. The results show that: (1) the overall wetting trend is detected in the MLYR, and the PRCPTOT and RX1day increased significantly; (2) Extreme precipitation decreased from southeast to northwest in the MLYR, indicating that extreme precipitation events are more prone to occur in the southeast of the MLYR; (3) the Western Pacific Subtropical High (WPSH), the South China Sea high (SCSH) and the East Asian westerly jet (EAJ) all strongly impact on the changes of precipitation in the MLYR, among which the WPSH has the most significant impact, followed by the SCSH, and the EAJ is weaker.

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Section: Temporal Variation Characteristics Of Extreme Precipitation ...mentioning

confidence: 88%

Spatial-temporal variations of extreme precipitation indices and their linkage with atmospheric circulation in the middle and lower reaches of the Yangtze River

Yang

Huang

et al. 2022

Preprint

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“…It provides Tmax, daily minimum and mean surface air temperature at 2 m, and daily total precipitation from 1961 to 2018. Previous studies have indicated that the Tmax over the YRB region exhibits an obvious shift at approximately 1980 and then increased significantly [46]. Therefore, in terms of historical periods, this study mainly focused on the characteristics of HWEs from 1981 to 2018.…”

Section: Gridded Observation Datasetmentioning

confidence: 99%

High-Resolution Regional Climate Modeling and Projection of Heatwave Events over the Yangtze River Basin

Gao

Yan

2022

Sustainability

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Heatwave events (HWEs) have strong impacts on human health, ecosystems, and sustainable social development. Using a gridded observation dataset and a high-resolution regional climate model (RCM), this study analyzed the characteristics of HWEs over the Yangtze River Basin (YRB) in eastern China during the historical period and projected the changes in HWEs over the YRB in the future. The daily maximum temperature (Tmax), long-lived (≥6 days) HWEs, and total (≥3 days) HWEs in the YRB all showed an obvious upward trend from 1981 to 2018, while the increase in short-lived (≥3 days and <6 days) HWEs was relatively moderate overall. The RCM of the Weather Research and Forecasting (WRF) model can simulate the characteristics of Tmax and HWEs in the historical period very well, and the projection results showed that Tmax, total HWEs, and long-lived HWEs will all increase obviously in both the SSP245 and SSP585 scenarios. Short-lived HWEs will also increase rapidly under SSP585, but they will rise slowly overall under SSP245. The changes in HWEs had distinct regional differences, and the intensity and coverage area of HWEs were greater under SSP585 overall. In the future, the increase in HWEs over the YRB region is likely to be associated with the enhancement of the western-Pacific subtropical high (WPSH) and South-Asian high (SAH), and this enhancement was also greater under SSP585. The results from the high-resolution simulation of the RCM can provide an important reference for disaster prevention and mitigation in the future.

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“…A majority of extreme temperature indices appear as abrupt changes since the last decades, with the main cold indices changing abruptly in the 1980s and the main warm indices changing abruptly in the late 1990s and early 2000s [40]. The maximum and minimum temperatures have increased significantly at rates of 0.19 • C and 0.37 • C per decade, respectively [41]. A recent study has reported that the magnitude of the changes in extreme climate events in the Yangtze River basin is projected to increase with the increasingly warming climate [42].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Variability in Hydroclimate over the Upper Yangtze River Basin, China

Yang

Bing

2022

Atmosphere

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As global warming produces dramatic climate changes, water management is facing increasingly serious challenges. Given to the process of climate change and its complex effects on watershed hydrology, this paper investigates the spatial and temporal variation characteristics of major climatic factors (i.e., precipitation and temperature) over the upper Yangtze River basin (UYRB), China. The statistical analyses are based on annual and seasonal scales during 1951–2020 with a recorded period of seven decades. The Mann–Kendall nonparametric test and R/S analysis are used to record the temporal trends (past and future) of climate variables; the Pettitt test, standard normal homogeneity test and Buishand test are used to detect the homogeneity in climate series. The sensitivities of the streamflow to climatic parameters are assessed at the watershed scale, especially considering the Three Gorges Dam’s (TGD) effect on changing runoff. The results of the study indicate that the annual precipitation of 29 out of 34 series indicate homogeneity, while 31 out of 34 annual mean temperature series show heterogeneity, with jump points around 1997 in the mean temperature of 20 sites. Detectable changes in precipitation were not observed during 1951–2020; however, the temperature increased significantly in the whole basin on annual and seasonal scales, except for several stations in the eastern part. The magnitude of increase in air temperature in high altitudes (Tibet Plateau) is higher than that in low altitudes (Sichuan Plain) over the last seven decades, and future temperatures continue to sharply increase in high altitudes. The TGD plays an important role in explaining the seasonal variations in streamflow at Yichang station, with streamflow experiencing a sharp increase in winter and spring (dry season) and a decrease in summer and autumn (rainy season) compared to the pre-TGD period. The streamflow variation at an annual scale is mainly regulated by climate fluctuation (variation in precipitation). During the last seven decades, increasing air temperature and decreases in rainfall and runoff signify reduced water resources availability, and the climate tends to be warmer and drier over the basin. The sensitivity of the streamflow to watershed precipitation is higher than that to temperature, with variation in annual rainfall explaining 71% of annual runoff variability.

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Spatio-Temporal Variations in the Temperature and Precipitation Extremes in Yangtze River Basin, China during 1961–2020

Cited by 14 publications

References 66 publications

Spatial-temporal variations of extreme precipitation indices and their linkage with atmospheric circulation in the middle and lower reaches of the Yangtze River

Spatial-temporal variations of extreme precipitation indices and their linkage with atmospheric circulation in the middle and lower reaches of the Yangtze River

High-Resolution Regional Climate Modeling and Projection of Heatwave Events over the Yangtze River Basin

Spatio-Temporal Variability in Hydroclimate over the Upper Yangtze River Basin, China

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