scholarly journals Spatiotemporal Variations of Extreme Precipitation and Study on Chaotic Characteristics in the Xijiang River Basin, China

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2106
Author(s):  
Xingchen Ding ◽  
Weihong Liao ◽  
Hao Wang ◽  
Xiaohui Lei ◽  
Wei Zhang ◽  
...  
Keyword(s):  
River Basin ◽  
Extreme Precipitation ◽  
Daily Precipitation ◽  
Research Area ◽  
Largest Lyapunov Exponent ◽  
The West ◽  
Intensity Index ◽  
Xijiang River ◽  
Extreme Precipitation Events ◽  
The Xijiang River

Climate change leads to the increase of frequency and intensity for extreme precipitation events, potentially threatening the development of our society. It is of great significance to study the spatiotemporal variation of precipitation for understanding cycle process of water and its response to global warming. This paper selects the Xijiang River basin, which locates on a low latitude and coastland, as the research area. The spatiotemporal distribution and homogeneity of precipitation are analyzed, and the spatial trend is studied using 12 extreme precipitation indices. Finally, chaotic characteristics are evaluated for daily precipitation. The results showed that the precipitation in the basin tended to be unevenly distributed. On wet days, precipitation in the middle and the west was more and more uniform. The proportion of tiny rain was the largest, between 33.5% and 41.3%. The proportion of violent rain was the smallest, between 0.1% and 4.7%. Duan had the highest frequency for violent rain, and the probability of disasters caused by extreme precipitation near the station was the highest. The simple daily intensity index (SDII) showed a significant increase in the middle and the northeast. PRCPTOT (annual total wet-day precipitation) showed a decreasing trend in the northwest. The average rates of variation for R95PTOT (precipitation on very wet days) and R99PTOT (precipitation on extremely wet days) were −0.01 mm/year and 0.06 mm/year, respectively. There might be a risk of drought on the west of the basin in the future. Precipitation in other locations was still relatively abundant. Daily precipitation showed high dimension and high chaotic characteristics. The MED (minimum embedding dimension) was between 11 and 30, and the MLE (largest Lyapunov exponent) was between 0.037 and 0.144.

scholarly journals ENSO and Wintertime Extreme Precipitation Events over the Contiguous United States

2008 ◽  
Vol 21 (1) ◽  
pp. 22-39 ◽  
Author(s):  
Siegfried D. Schubert ◽  
Yehui Chang ◽  
Max J. Suarez ◽  
Philip J. Pegion
Keyword(s):  
United States ◽  
West Coast ◽  
Extreme Precipitation ◽  
East Coast ◽  
Daily Precipitation ◽  
Precipitation Variability ◽  
The West ◽  
Extreme Precipitation Events ◽  
The Impact ◽  
Precipitation Events

Abstract In this study the authors examine the impact of El Niño–Southern Oscillation (ENSO) on precipitation events over the continental United States using 49 winters (1949/50–1997/98) of daily precipitation observations and NCEP–NCAR reanalyses. The results are compared with those from an ensemble of nine atmospheric general circulation model (AGCM) simulations forced with observed SST for the same time period. Empirical orthogonal functions (EOFs) of the daily precipitation fields together with compositing techniques are used to identify and characterize the weather systems that dominate the winter precipitation variability. The time series of the principal components (PCs) associated with the leading EOFs are analyzed using generalized extreme value (GEV) distributions to quantify the impact of ENSO on the intensity of extreme precipitation events. The six leading EOFs of the observations are associated with major winter storm systems and account for more than 50% of the daily precipitation variability along the West Coast and over much of the eastern part of the country. Two of the leading EOFs (designated GC for Gulf Coast and EC for East Coast) together represent cyclones that develop in the Gulf of Mexico and occasionally move and/or redevelop along the East Coast producing large amounts of precipitation over much of the southern and eastern United States. Three of the leading EOFs represent storms that hit different sections of the West Coast (designated SW for Southwest coast, WC for the central West Coast, and NW for northwest coast), while another represents storms that affect the Midwest (designated by MW). The winter maxima of several of the leading PCs are significantly impacted by ENSO such that extreme GC, EC, and SW storms that occur on average only once every 20 years (20-yr storms) would occur on average in half that time under sustained El Niño conditions. In contrast, under La Niña conditions, 20-yr GC and EC storms would occur on average about once in 30 years, while there is little impact of La Niña on the intensity of the SW storms. The leading EOFs from the model simulations and their connections to ENSO are for the most part quite realistic. The model, in particular, does very well in simulating the impact of ENSO on the intensity of EC and GC storms. The main model discrepancies are the lack of SW storms and an overall underestimate of the daily precipitation variance.

Study on the hydrochemistry character and carbon sink in the middle and upper reaches of the Xijiang River basin, China

2014 ◽  
Vol 74 (2) ◽  
pp. 997-1005 ◽  
Author(s):  
Shi Yu ◽  
Wenyue Du ◽  
Pingan Sun ◽  
Shiyi He ◽  
Yiming Kuo ◽  
...  
Keyword(s):  
River Basin ◽  
Carbon Sink ◽  
Xijiang River ◽  
The Xijiang River

Evaluation on uncertainty sources in projecting hydrological changes over the Xijiang River basin in South China

2017 ◽  
Vol 554 ◽  
pp. 434-450 ◽  
Author(s):  
Fei Yuan ◽  
Chongxu Zhao ◽  
Yong Jiang ◽  
Liliang Ren ◽  
Hongcui Shan ◽  
...  
Keyword(s):  
River Basin ◽  
South China ◽  
Xijiang River ◽  
Uncertainty Sources ◽  
Hydrological Changes ◽  
The Xijiang River

Analysis of hydrological drought frequency for the Xijiang River Basin in South China using observed streamflow data

2015 ◽  
Vol 77 (3) ◽  
pp. 1655-1677 ◽  
Author(s):  
Zhiyong Wu ◽  
Qingxia Lin ◽  
Guihua Lu ◽  
Hai He ◽  
John J. Qu
Keyword(s):  
River Basin ◽  
South China ◽  
Hydrological Drought ◽  
Drought Frequency ◽  
Xijiang River ◽  
The Xijiang River ◽  
Streamflow Data

scholarly journals Impacts of Atmospheric Rivers in Extreme Precipitation on the European Macaronesian Islands

Atmosphere ◽  
2018 ◽  
Vol 9 (8) ◽  
pp. 325 ◽  
Author(s):  
Alexandre M. Ramos ◽  
Ricardo M. Trigo ◽  
Ricardo Tomé ◽  
Margarida L. R. Liberato
Keyword(s):  
Canary Islands ◽  
Extreme Precipitation ◽  
Daily Precipitation ◽  
Comprehensive Assessment ◽  
Atmospheric Rivers ◽  
Extreme Precipitation Events ◽  
Macaronesian Islands ◽  
Weather Stations ◽  
The Relationship ◽  
Precipitation Events

The European Macaronesia Archipelagos (Azores, Madeira and Canary Islands) are struck frequently by extreme precipitation events. Here we present a comprehensive assessment on the relationship between atmospheric rivers and extreme precipitation events in these three Atlantic Archipelagos. The relationship between the daily precipitation from the various weather stations located in the different Macaronesia islands and the occurrence of atmospheric rivers (obtained from four different reanalyses datasets) are analysed. It is shown that the atmospheric rivers’ influence over extreme precipitation (above the 90th percentile) is higher in the Azores islands when compared to Madeira or Canary Islands. In Azores, for the most extreme precipitation days, the presence of atmospheric rivers is particularly significant (up to 50%), while for Madeira, the importance of the atmospheric rivers is reduced (between 30% and 40%). For the Canary Islands, the occurrence of atmospheric rivers on extreme precipitation is even lower.

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