scholarly journals Determining Extremes for Future Precipitation in South Korea Based on RCP Scenarios Using Non-Parametric SPI

2020 ◽  
Vol 12 (3) ◽  
pp. 963
Author(s):  
Hemen Mark Butu ◽  
Yongwon Seo ◽  
Jeung Soo Huh
Keyword(s):  
South Korea ◽  
Extreme Precipitation ◽  
Standardized Precipitation Index ◽  
Extreme Drought ◽  
Rcp Scenarios ◽  
Temporal Characteristics ◽  
Extreme Precipitation Events ◽  
Spatial And Temporal Characteristics ◽  
Precipitation Events ◽  
Non Parametric

Historical, downscaled and projected data for six cities in South Korea were collected and analyzed using non-parametric Standardized Precipitation Index (SPI) across the Representative Concentration Pathways (RCPs) RCP4.5 and RCP8.5. SPI results were utilized in further analyses: intensity, decadal frequency, and temporal shifts. Non-parametric SPI was used as it produces more reliable results in terms of their statistical, spatial and temporal characteristics. RCP4.5 was taken to represent concentrations under the current emissions trajectory, while RCP8.5 represents the high-end scenario. Findings suggest that extreme precipitation events are more likely to increase in number than extreme drought across all timescales and RCPs. Variability was observed to increase when comparing SPI obtained from actual, measured and gridded precipitation. More extreme droughts are expected under RCP8.5 forcing as are the occurrence of multiyear droughts and extreme wet events relative to RCP4.5. A seasonal shift in extreme precipitation of up to 3 months earlier was observed. Generally, the period between 2080 and 2100 holds the highest probability to host extremely rare and persistent events.

scholarly journals Distribución y variabilidad de la precipitación en la Región Pampeana, Argentina

2016 ◽  
Vol 42 (1) ◽  
pp. 261 ◽  
Author(s):  
V. S. Aliaga ◽  
F. Ferrelli ◽  
E. D. Alberdi-Algarañaz ◽  
V. Y. Bohn ◽  
M. C. Piccolo
Keyword(s):  
Extreme Precipitation ◽  
Standardized Precipitation Index ◽  
Temporal Distribution ◽  
Continuous Wavelet ◽  
Precipitation Data ◽  
Extreme Precipitation Events ◽  
The Standardized Precipitation Index ◽  
Rainfall Regimes ◽  
Precipitation Events ◽  
Pampas Region

Pampas region is the main agricultural area of Argentina. Its economy mainly depends on rainfall regimes. The aim of this study was to sub-regionalize the Pampas, considering the spatial and temporal distribution of rainfalls. Cluster analysis was applied to study precipitation data from 33 meteorological stations from National Weather Service (SMN, Argentina) during the period 1960-2010. As a result, 6 sub-regions were obtained. Extreme precipitation events were studied with the Standardized Precipitation Index (SPI) and Continuous Wavelet Transform (CWT). Rainfalls respond to annual and seasonal timescales. Four of the sub-regions presented rainfalls homogeneity, permitting to redefine the limits of the Pampas region proposed by Labraga et al. (2011). Thus, a new pluviometric regionalization was achieved considering the typical precipitation patterns of Pampas region.

scholarly journals Assessment of Climate Change Impacts on Extreme Precipitation Events: Applications of CMIP5 Climate Projections Statistically Downscaled over South Korea

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Jang Hyun Sung ◽  
Hyung-Il Eum ◽  
Junehyeong Park ◽  
Jaepil Cho
Keyword(s):  
Climate Change ◽  
South Korea ◽  
Extreme Precipitation ◽  
Daily Precipitation ◽  
Climate Projections ◽  
Reference Period ◽  
Design Standard ◽  
Extreme Precipitation Events ◽  
The Future ◽  
Precipitation Events

Climate change may accelerate the water cycle at a global scale, resulting in more frequent extreme climate events. This study analyzed changes in extreme precipitation events employing climate projections statistically downscaled at a station-space scale in South Korea. Among the CMIP5 climate projections, based on spatial resolution, this study selected 26 climate projections that provide daily precipitation under the representative concentration pathway (RCP) 4.5. The results show that a 20-year return period of precipitation event during a reference period (1980∼2005) corresponds to a 16.6 yr for 2011 to 2040, 14.1 yr for 2041 to 2070, and 12.8 yr for 2071 to 2100, indicating more frequent extreme maximum daily precipitation may occur in the future. In addition, we found that the probability density functions of the future periods are located out of the 10% confidence interval of the PDF for the reference period. The result indicates that the design standard under the reference climate is not managed to cope with climate change, and accordingly the revision of the design standard is required to improve sustainability in infrastructures.

scholarly journals Semiarid grasslands and extreme precipitation events: Do experimental results scale to the landscape?

Ecology ◽  
2021 ◽  
Author(s):  
Alison K. Post ◽  
Kristin P. Davis ◽  
Jillian LaRoe ◽  
David L. Hoover ◽  
Alan K. Knapp
Keyword(s):  
Extreme Precipitation ◽  
Experimental Results ◽  
Extreme Precipitation Events ◽  
Precipitation Events

scholarly journals Recognizing the Aggregation Characteristics of Extreme Precipitation Events Using Spatio-Temporal Scanning and the Local Spatial Autocorrelation Model

Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 218
Author(s):  
Changjun Wan ◽  
Changxiu Cheng ◽  
Sijing Ye ◽  
Shi Shen ◽  
Ting Zhang
Keyword(s):  
Spatial Autocorrelation ◽  
Extreme Precipitation ◽  
Eastern China ◽  
Temporal Aggregation ◽  
Global Changes ◽  
Percentile Method ◽  
Extreme Precipitation Events ◽  
Spatio Temporal ◽  
Precipitation Events ◽  
Local Spatial Autocorrelation

Precipitation is an essential climate variable in the hydrologic cycle. Its abnormal change would have a serious impact on the social economy, ecological development and life safety. In recent decades, many studies about extreme precipitation have been performed on spatio-temporal variation patterns under global changes; little research has been conducted on the regionality and persistence, which tend to be more destructive. This study defines extreme precipitation events by percentile method, then applies the spatio-temporal scanning model (STSM) and the local spatial autocorrelation model (LSAM) to explore the spatio-temporal aggregation characteristics of extreme precipitation, taking China in July as a case. The study result showed that the STSM with the LSAM can effectively detect the spatio-temporal accumulation areas. The extreme precipitation events of China in July 2016 have a significant spatio-temporal aggregation characteristic. From the spatial perspective, China’s summer extreme precipitation spatio-temporal clusters are mainly distributed in eastern China and northern China, such as Dongting Lake plain, the Circum-Bohai Sea region, Gansu, and Xinjiang. From the temporal perspective, the spatio-temporal clusters of extreme precipitation are mainly distributed in July, and its occurrence was delayed with an increase in latitude, except for in Xinjiang, where extreme precipitation events often take place earlier and persist longer.

Extreme precipitation events and their relationships with circulation types in Italy

2021 ◽  
Author(s):  
Maurizio Iannuccilli ◽  
Giorgio Bartolini ◽  
Giulio Betti ◽  
Alfonso Crisci ◽  
Daniele Grifoni ◽  
...  
Keyword(s):  
Extreme Precipitation ◽  
Circulation Types ◽  
Extreme Precipitation Events ◽  
Precipitation Events
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