Recent Changes in Temperature and Precipitation of the Summer and Autumn Seasons over Fujian Province, China

Ma, Zhiguo; Guo, Qinyu; Yang, Feiyue; Chen, Huiling; Li, Wenqing; Lin, Lili; Zheng, Chaoyuan

doi:10.3390/w13141900

Cited by 11 publications

(8 citation statements)

References 49 publications

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“…The annual maximum temperature in Fujian is warming at only 0.017°C/yr, which is slower than the minimum. In Fujian, abrupt changes in mean, maximum, and minimum temperatures occurred around 1997, 2000, and 1998, in agreement with Huang (Huang et al 2020) and Ma (Ma et al 2021).…”

Section: Discussionsupporting

confidence: 75%

“…The reason for a more pronounced warming trend in mountainous areas during the winter is primarily associated with the inversion of temperature that often occurs in the lower mountains during the winter months. As a result, the rate of direct temperature reduction at lower altitudes decreased signi cantly compared to higher altitudes (Ma et al 2021). One of the reasons for the lack of apparent altitude-dependent warming characteristics is the small number of high-altitude stations used in this study.…”

Section: Discussionmentioning

confidence: 99%

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Changing temperature trends at subtropical mountains in southeastern China

Qin

Wei

et al. 2023

Preprint

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In the context of global warming, mountain warming has significantly elevation-dependent. Currently, most studies focusing on high-altitude mountainous areas lack examples of middle and low-altitude mountainous areas. Southeastern China's Fujian Province has the Wuyi Mountains in the northwest and coastal plains in the southeast, making it an ideal place to study temperature warming change with elevation. Therefore, based on 64 meteorological stations' daily observation data in Fujian Province from 1961 to 2018, the Mann-Kendall nonparametric test method was used to analyze the spatial-temporal patterns of temperatures and their elevation-dependent warming characteristics. The results show that (1) Fujian Province has experienced significant warming from 1961 to 2018, where the mean temperature is 0.20°C/decade, the maximum temperature is 0.17°C/decade, and the minimum temperature is 0.26°C/decade. The mean, maximum, and minimum temperatures abruptly changed around 1997, 2000, and 1998, respectively. (2) In 1961-1990, more than 63% of stations experienced a decline in annual mean temperature, mainly because the maximum temperature decreased during this period, whereas for 1971-2000, 1981-2010, and 1991-2018, the maximum, minimum and mean temperatures have been increasing. (3) In Fujian Province, there are significant spatial differences in temperature variations, with the maximum warming trend of mean temperature occurring in the southeast coastal plains, the maximum warming trend of maximum temperature occurring in the northwestern mountainous region, and the minimum temperature is warming faster in the southeast coast and northwestern mountains than in the central region. (4) In the study area, no elevation-dependent warming of mean, maximum, and minimum temperatures was observed, indicating that middle and low-altitude mountainous regions of the subtropics do not experience elevation-dependent warming of temperatures.

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Section: Discussionsupporting

confidence: 75%

Section: Discussionmentioning

confidence: 99%

Changing temperature trends at subtropical mountains in southeastern China

Qin

Wei

et al. 2023

Preprint

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“…The Mann-Kendall mutation test (M-K) is widely used to check the mutability of meteorological and hydrological data sequences [26,27]. The UF and UB curves should be drawn in the same coordinate system at first.…”

Section: Nonparametric Mann-kendall Mutation Test Methodsmentioning

confidence: 99%

Response of future hydropower generation of cascade reservoirs to climate change in alpine regions

Yan

Liu

et al. 2022

PLoS ONE

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Climate warming accelerates the hydrological cycle, especially in high-latitude and high-altitude areas. The increase in temperature will increase the amount of snow and glacier melting and change the runoff, which will affect the operations of cascade reservoirs significantly. Therefore, taking the upper reaches of the Yellow River with an alpine climate as an example, we propose an improved SIMHYD-SNOW, which considers the snowmelt runoff process. The impacts of climate changes on the runoff process were revealed based on the SIMHYD-SNOW model using the precipitation and temperature data predicted by the SDSM model. A model for the maximum power generation of the cascade reservoirs in the upper reaches of the Yellow River was constructed to explore the impacts of climate changes on the inter-annual and intra-annual hydropower generation of the cascade reservoirs at different periods in the future. The results show that climate change has changed the spatial and temporal allocation of water resources in this area. The future runoff will decrease during the flood period (July to September) but increase significantly during the non-flood period. The inter-annual and intra-annual hydropower generation under the RCP8.5 climate change scenario is significantly lower than the RCP2.6 and RCP4.5 climate change scenarios, and as the CO2 emission concentration increases, this gap increases significantly. This study can provide technical references for the precise formulation of water resources management under climate change.

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“…Large EASJI corresponds to strong extratropical cyclone activity in East China, which can produce large scale precipitation in all seasons. (Ma et al, 2021;Nazari-Sharabian and Karakouzian, 2020). Two signal sequences with significant correlation in Table 2 are selected for wavelet coherence analysis to study the phase relationship between extreme precipitation and atmospheric circulation.…”

Section: Response Of Extreme Precipitation Indices To Atmospheric Cir...mentioning

confidence: 99%

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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Recent Changes in Temperature and Precipitation of the Summer and Autumn Seasons over Fujian Province, China

Cited by 11 publications

References 49 publications

Changing temperature trends at subtropical mountains in southeastern China

Changing temperature trends at subtropical mountains in southeastern China

Response of future hydropower generation of cascade reservoirs to climate change in alpine regions

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

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