Temporal–Spatial Monitoring of an Extreme Precipitation Event: Determining Simultaneously the Time Period It Lasts and the Geographic Region It Affects

Lu, Er; Zhao, Wei; Zou, Xu‐Bo; Ye, Dianxiu; Zhao, Chunyu; Zhang, Qiang

doi:10.1175/jcli-d-17-0105.1

Cited by 21 publications

(10 citation statements)

References 33 publications

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“…Actually, extreme precipitation may cause significant flooding, while PSP might intensify the situation [34]. For example, a substantial precipitation event in the Yangtze and Huai River basins in 1991 during the 8th to 16th of June carried almost 200 mm total precipitation amount composed of 40, 50 and 45 mm on the 8th, 13th and 14th of June, respectively [35]. The 50 mm precipitation amount on the 13th of June just touched the threshold of daily precipitation extreme, whereas the amounts of precipitation on other days were less than that ordinary threshold value and, therefore, both events were not considered as extreme events (precipitation occurred on the 8th and 14th of June).…”

Section: Introductionmentioning

confidence: 99%

Event-Based Time Distribution Patterns, Return Levels, and Their Trends of Extreme Precipitation across Indus Basin

Zaman

Ahmad

Usman

et al. 2020

Water

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This study presented the spatio-temporal characteristics of extreme precipitation events in the Northern Highlands of Pakistan (NHPK). Daily precipitation observations of 30 in situ meteorological stations from 1961 to 2014 were used to estimate the 11 extreme precipitation indices. Additionally, trends in time distribution patterns (TDPs) and return periods were also investigated for event based extreme precipitations (EEP). Results found that the precipitation events with an amount of 160–320 mm and with a concentration ratio of 0.8–1.0 and a duration of 4–7 consecutive days were dominant. The frequency of heavy, very heavy and extremely heavy precipitation days decreased, whereas the frequency of wet, very wet and extremely wet days increased. Most of the indices, generally, showed an increasing trend from the northeast to middle parts. The extreme precipitation events of the 20 and 50-year return period were more common in the western and central areas of NHPK. Moreover, the 20 and 50-year return levels depicted higher values (up to 420 mm) for an event duration with all daily precipitation extremes dispersed in the first half (TDP1) in the Chitral, Panjkora and Jhelum Rivers basins, whilst the maximum values (up to 700 mm) for an event duration with all daily precipitation extremes dispersed in the second half (TDP2) were observed in the eastern part of the NHPK for 20-year and eastern and south-west for 50-year, respectively.

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Section: Introductionmentioning

confidence: 99%

Event-Based Time Distribution Patterns, Return Levels, and Their Trends of Extreme Precipitation across Indus Basin

Zaman

Ahmad

Usman

et al. 2020

Water

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“…Objectively identifying the process of regional drought and assessing its intensity is the basis for accurately monitoring and assessing the impact of drought [12], which will also further promote the prediction and research of regional drought events with the background of climate change. Based on the theory of the extreme intensity with both the duration and the region (EIDR) proposed by Lu et al, (2017) [39], the National Climate Center of China Meteorological Administration improved the method to calculate the comprehensive intensity index of the objective identification technology of regional extreme events (OITREE). Fixed and moving regional drought process identification technologies have been constructed [40].…”

Section: Introductionmentioning

confidence: 99%

Identification of Regional Drought Processes in North China Using MCI Analysis

Cai

Zhang

Fang

et al. 2021

Land

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Comprehensive identification of drought events is of great significance for monitoring and evaluating drought processes. Based on the date of daily precipitation, temperature and drought-affected area of 403 meteorological stations in North China from 1960 to 2019, the Comprehensive Drought Process Intensity Index (CDPII) has been developed by using the Meteorological-drought Composite Index (MCI) and regional drought process identification method, as well as the EIDR theory method. The regional drought processes in the past 60 years in North China, including Beijing, Tianjin, Hebei, Shanxi and Middle Inner Mongolia, were analyzed and identified. The result shows that the distribution characteristic of droughts with different intensities is as follows: The number of days of all annual-average mild droughts, moderate droughts and severe droughts was highest in Tianjin and that of extreme droughts was highest in Shanxi. The number of days of mild droughts was highest in May and lowest in January. The number of days of moderate droughts was highest in June. The number of days with mild and moderate drought showed an overall increasing trend, while the number of days with severe drought and above showed an overall decreasing trend (through a 95% significance test). The number of drought days was the highest in the 1990s. The annual frequency of drought is between 66.7% and 86.7%; the drought frequency in Hebei is the highest at 86.7%, followed by Beijing at 80%. There were 75 regional drought processes in North China from 1960 to 2019, and the correlation coefficient between process intensity and the drought-affected area was 0.55, which passed the 99% significance test. The comprehensive intensity of drought process from 27 April to 1 September 1972 was the strongest. From 18 May to 31 October 1965, the drought lasted 167 days. The overall drought intensity had a slight weakening trend in the past 60 years. A total of 75 regional drought processes occurred in North China, and the process intensity showed a trend of wavy decline with a determination coefficient (R2) of 0.079 (95% significance test). Overall, the regional drought process identification method and strength assessment result tally with the drought disaster, which can better identify the regional drought process. Furthermore, including the last days, the average intensity, average scope comprehensive strength, there are many angles to monitor and evaluate the drought and drought process. These provide a reference for drought control and decision-making.

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“…Occasionally, some EHR events occur within a few hours. The risk and damage of extreme rainfall events depend on the intensity and duration of the rainfall and its geographic region (Lu et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Unprecedented heavy rainfall event over Yamunanagar, India during 14 July 2016: An observational and modelling study

Rao

Paul

Skekhar

et al. 2021

Meteorological Applications

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Extreme rainfall events have posed several serious threats to many populated and urbanized areas in the world including the Indian subcontinent. Therefore, accurate predictions of their intensity and areas of influence are important for flood‐prone risk assessments. On 14 July 2016, heavy to exceptionally heavy rainfall occurred in Yamunanagar (30.16° N, 77.29° E), located in the state of Haryana in North India, which led to widespread disruption of communication, electricity, inundation of houses, and so forth. The present paper aims at examining observational, synoptic, thermo‐dynamical, and numerical features associated with this devastating rainfall episode. The analysis found that during extreme rainfall episodes, a trough in mid‐tropospheric westerlies and a strong low‐level atmospheric monsoonal flow seem to have strongly interacted with each other, creating a strong convergence zone near study areas that led to a severe rainstorm. The quasi‐stationary supercells were also noticed due to continuous moisture incursions from the Bay of Bengal and orographic uplift over the Himalayas near Yamunanagar. A deep layer of wind shear interacts dynamically with the convergence zone and leads to a potential rainstorm. Thermodynamic indices indicate high instability over the heavy rainfall area. The dynamics of this event were studied in detail by using three‐dimensional variational data assimilation within the weather research and forecasting model, configured with triple two‐way nesting domains (27, 9, and 3 km). The model results show that the weather research and forecasting model satisfactorily captures the quantitative precipitation (300 mm) in 24 h over the Yamunanagar region as compared with observation (365 mm).

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Temporal–Spatial Monitoring of an Extreme Precipitation Event: Determining Simultaneously the Time Period It Lasts and the Geographic Region It Affects

Cited by 21 publications

References 33 publications

Event-Based Time Distribution Patterns, Return Levels, and Their Trends of Extreme Precipitation across Indus Basin

Event-Based Time Distribution Patterns, Return Levels, and Their Trends of Extreme Precipitation across Indus Basin

Identification of Regional Drought Processes in North China Using MCI Analysis

Unprecedented heavy rainfall event over Yamunanagar, India during 14 July 2016: An observational and modelling study

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