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Guangtao Dong
Shanghai Climate Centre, Shanghai Meteorological Service, Shanghai, China

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Correction
Published: 13 July 2021 in Natural Hazards
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ACS Style

Qian Ke; Jiangshan Yin; Jeremy D. Bricker; Nicholas Savage; Erasmo Buonomo; Qinghua Ye; Paul Visser; Guangtao Dong; Shuai Wang; Zhan Tian; Laixiang Sun; Ralf Toumi; Sebastiaan N. Jonkman. Correction to: An integrated framework of coastal flood modelling under the failures of sea dikes: a case study in Shanghai. Natural Hazards 2021, 1 -2.

AMA Style

Qian Ke, Jiangshan Yin, Jeremy D. Bricker, Nicholas Savage, Erasmo Buonomo, Qinghua Ye, Paul Visser, Guangtao Dong, Shuai Wang, Zhan Tian, Laixiang Sun, Ralf Toumi, Sebastiaan N. Jonkman. Correction to: An integrated framework of coastal flood modelling under the failures of sea dikes: a case study in Shanghai. Natural Hazards. 2021; ():1-2.

Chicago/Turabian Style

Qian Ke; Jiangshan Yin; Jeremy D. Bricker; Nicholas Savage; Erasmo Buonomo; Qinghua Ye; Paul Visser; Guangtao Dong; Shuai Wang; Zhan Tian; Laixiang Sun; Ralf Toumi; Sebastiaan N. Jonkman. 2021. "Correction to: An integrated framework of coastal flood modelling under the failures of sea dikes: a case study in Shanghai." Natural Hazards , no. : 1-2.

Original paper
Published: 23 June 2021 in Natural Hazards
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Climate change leads to sea level rise worldwide, as well as increases in the intensity and frequency of tropical cyclones (TCs). Storm surge induced by TC’s, together with spring tides, threatens to cause failure of flood defenses, resulting in massive flooding in low-lying coastal areas. However, limited research has been done on the combined effects of the increasing intensity of TCs and sea level rise on the characteristics of coastal flooding due to the failure of sea dikes. This paper investigates the spatial variation of coastal flooding due to the failure of sea dikes subject to past and future TC climatology and sea level rise, via a case study of a low-lying deltaic city- Shanghai, China. Using a hydrodynamic model and a spectral wave model, storm tide and wave parameters were calculated as input for an empirical model of overtopping discharge rate. The results show that the change of storm climatology together with relative sea level rise (RSLR) largely exacerbates the coastal hazard for Shanghai in the future, in which RSLR is likely to have a larger effect than the TC climatology change on future coastal flooding in Shanghai. In addition, the coastal flood hazard will increase to a large extent in terms of the flood water volume for each corresponding given return period. The approach developed in this paper can also be utilized to investigate future flood risk for other low-lying coastal regions.

ACS Style

Qian Ke; Jiangshan Yin; Jeremy D. Bricker; Nicholas Savage; Erasmo Buonomo; Qinghua Ye; Paul Visser; Guangtao Dong; Shuai Wang; Zhan Tian; Laixiang Sun; Ralf Toumi; Sebastiaan N. Jonkman. An integrated framework of coastal flood modelling under the failures of sea dikes: a case study in Shanghai. Natural Hazards 2021, 1 -33.

AMA Style

Qian Ke, Jiangshan Yin, Jeremy D. Bricker, Nicholas Savage, Erasmo Buonomo, Qinghua Ye, Paul Visser, Guangtao Dong, Shuai Wang, Zhan Tian, Laixiang Sun, Ralf Toumi, Sebastiaan N. Jonkman. An integrated framework of coastal flood modelling under the failures of sea dikes: a case study in Shanghai. Natural Hazards. 2021; ():1-33.

Chicago/Turabian Style

Qian Ke; Jiangshan Yin; Jeremy D. Bricker; Nicholas Savage; Erasmo Buonomo; Qinghua Ye; Paul Visser; Guangtao Dong; Shuai Wang; Zhan Tian; Laixiang Sun; Ralf Toumi; Sebastiaan N. Jonkman. 2021. "An integrated framework of coastal flood modelling under the failures of sea dikes: a case study in Shanghai." Natural Hazards , no. : 1-33.

Journal article
Published: 01 October 2020 in Journal of Meteorological Research
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In this study, we employ two regional climate models (RCMs or RegCMs), which are RegCM4 and PRECIS (Providing Regional Climates for Impact Studies), with a horizontal grid spacing of 25 km, to simulate the precipitation dynamics across China for the baseline climate of 1981–2010 and two future climates of 2031–2060 and 2061–2090. The global climate model (GCM)—Hadley Centre Global Environment Model version 2-Earth Systems (HadGEM2-ES) is used to drive the two RCMs. The results of baseline simulations show that the two RCMs can correct the obvious underestimation of light rain below 5 mm day−1 and the overestimation of precipitation above 5 mm day−1 in Northwest China and the Qinghai-Tibetan Plateau, as being produced by the driving GCM. While PRECIS outperforms RegCM4 in simulating annual precipitation and wet days in several sub-regions of Northwest China, its underperformance shows up in eastern China. For extreme precipitation, the two RCMs provide a more accurate simulation of continuous wet days (CWD) with reduced biases and more realistic spatial patterns compared to their driving GCM. For other extreme precipitation indices, the RCM simulations show limited benefit except for an improved performance in some localized regions. The future projections of the two RCMs show an increase in the annual precipitation amount and the intensity of extreme precipitation events in most regions. Most areas of Southeast China will experience fewer number of wet days, especially in summer, but more precipitation per wet day (≥ 30 mm day−1). By contrast, number of wet days will increase in the Qinghai-Tibetan Plateau and some areas of northern China. The increase in both the maximum precipitation for five consecutive days and the regional extreme precipitation will lead to a higher risk of increased flooding. The findings of this study can facilitate the efforts of climate service institutions and government agencies to improve climate services and to make climate-smart decisions.

ACS Style

Zhiyu Jiang; Zhan Tian; Guangtao Dong; Laixiang Sun; Peiqun Zhang; Erasmo Buonomo; Dongli Fan. High-Resolution Projections of Mean and Extreme Precipitation over China by Two Regional Climate Models. Journal of Meteorological Research 2020, 34, 965 -985.

AMA Style

Zhiyu Jiang, Zhan Tian, Guangtao Dong, Laixiang Sun, Peiqun Zhang, Erasmo Buonomo, Dongli Fan. High-Resolution Projections of Mean and Extreme Precipitation over China by Two Regional Climate Models. Journal of Meteorological Research. 2020; 34 (5):965-985.

Chicago/Turabian Style

Zhiyu Jiang; Zhan Tian; Guangtao Dong; Laixiang Sun; Peiqun Zhang; Erasmo Buonomo; Dongli Fan. 2020. "High-Resolution Projections of Mean and Extreme Precipitation over China by Two Regional Climate Models." Journal of Meteorological Research 34, no. 5: 965-985.

Journal article
Published: 09 April 2019 in Sustainability
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This paper proposes an index-based assessment tool to consolidate diverse opinions of various stakeholders on their assessments of sector-specific risks posed by climate change, and to aggregate these opinions into intuitive and comparable graphs. This tool enables cities to measure and monitor the multiple factors that contribute to their resilience towards climate risk and hazard in the long term. We applied this tool to five key infrastructure sectors in six representative cities in the Yangtze River Delta region. The graphs generated provide for the first time first-hand insights into the aggregative understanding of various stakeholders with regard to the current and future climate risk in their concerned sectors and cities. Our results indicate that a high level of exposure is not automatically associated with a high level of vulnerability across our selected cities. While all cities need to make efforts to reduce their vulnerability towards climate hazards, those characterized by “lower level of exposure but higher level of vulnerability” need to make more urgent and much greater efforts.

ACS Style

Landong Sun; Zhan Tian; Huan Zou; Lanzhu Shao; Laixiang Sun; Guangtao Dong; Dongli Fan; Xinxing Huang; Laura Frost; Lewis-Fox James. An Index-Based Assessment of Perceived Climate Risk and Vulnerability for the Urban Cluster in the Yangtze River Delta Region of China. Sustainability 2019, 11, 2099 .

AMA Style

Landong Sun, Zhan Tian, Huan Zou, Lanzhu Shao, Laixiang Sun, Guangtao Dong, Dongli Fan, Xinxing Huang, Laura Frost, Lewis-Fox James. An Index-Based Assessment of Perceived Climate Risk and Vulnerability for the Urban Cluster in the Yangtze River Delta Region of China. Sustainability. 2019; 11 (7):2099.

Chicago/Turabian Style

Landong Sun; Zhan Tian; Huan Zou; Lanzhu Shao; Laixiang Sun; Guangtao Dong; Dongli Fan; Xinxing Huang; Laura Frost; Lewis-Fox James. 2019. "An Index-Based Assessment of Perceived Climate Risk and Vulnerability for the Urban Cluster in the Yangtze River Delta Region of China." Sustainability 11, no. 7: 2099.