Abstract
Intense storms, or extreme rainfall events as they shall be called in this chapter hereafter, pose challenges to infrastructure management and design, and trigger other catastrophic events such as floods, landslides, and dam failures. They are also the cornerstone of engineering design and risk assessment of large infrastructures such as dams, levees, and power plants (Stratz and Hossain 2014). Therefore, it is of great societal interest to physically predict and understand the occurrence and magnitude of such extreme events for both design and operation of engineering infrastructures, and testing their resilience
With permission from ASCE, this chapter is adapted from: Evaluation of an Optimal Atmospheric Numerical Modeling Framework for Extreme Storm Event Simulation, ASCE J Hydrologic Engineering, vol. 22 (8), August 2017.
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References
Abbs DJ (1999) A numerical modeling study to investigate the assumptions used in the calculation of probable maximum precipitation. Water Resour Res 35(3):785–796
Bennett ND, Croke BF, Guariso G, Guillaume JH, Hamilton SH, Jakeman AJ, Marsili-Libelli S, Newham LT, Norton JP, Perrin C (2013) Characterising performance of environmental models. Environ Model Softw 40:1–20
Carvalho D, Rocha A, Gómez-Gesteira M, Santos C (2012) A sensitivity study of the WRF model in wind simulation for an area of high wind energy. Environ Model Softw 33:23–34
Chang H, Kumar A, Niyogi D, Mohanty U, Chen F, Dudhia J (2009) The role of land surface processes on the mesoscale simulation of the July 26, 2005 heavy rain event over Mumbai, India. Global Planet Change 67(1):87–103
Chen et al (2016) Atmospheric numerical modeling framework for extreme storm event simulation. ASCE J Hydrol Eng 22(8), August 2017
Durkee JD, Campbell L, Berry K, Jordan D, Goodrich G, Mahmood R, Foster S (2012) A synoptic perspective of the record 1–2 May 2010 Mid-South heavy precipitation event. Bull Am Meteorol Soc 93(5):611–620
Kumar A, Dudhia J, Rotunno R, Niyogi D, Mohanty U (2008) Analysis of the 26 July 2005 heavy rain event over Mumbai, India using the Weather Research and Forecasting (WRF) model. QJR Meteorol Soc 134:1897–1910
Kunkel KE, Karl TR, Easterling DR, Redmond K, Young J, Yin X, Hennon P (2013) Probable maximum precipitation and climate change. Geophys Res Lett 40(7):1402–1408
Moore BJ, Neiman PJ, Ralph FM, Barthold FE (2012) Physical processes associated with heavy flooding rainfall in Nashville, Tennessee, and Vicinity during 1–2 May 2010: the role of an atmospheric river and mesoscale convective systems. Mon Weather Rev 140(2):358–378
Rajeevan M, Kesarkar A, Thampi S, Rao T, Radhakrishna B, Rajasekhar M (2010) Sensitivity of WRF cloud microphysics to simulations of a severe thunderstorm event over southeast india. In: Proceedings of annales geophysicae, European Geosciences Union, pp 603–619
Rao YR, Hatwar H, Salah AK, Sudhakar Y (2007) An experiment using the high resolution eta and WRF models to forecast heavy precipitation over India. Pure appl Geophys 164:1593–1615
Skamarock W, Klemp J, Dudhia J, Gill D, Barker D (2005) A description of the advanced research WRF version 3. NCAR technical note
Stensrud DJ (2007) Parameterization schemes: keys to understanding numerical weather prediction models. Cambridge University Press, Cambridge
Stratz SA, Hossain F (2014) Probable maximum precipitation in a changing climate: implications for dam design. J Hydrol Eng 19(12):06014006
Tan E (2010) Development of a methodology for probable maximum precipitation estimation over the American river watershed using the WRF model. University of California, Davis, CA
Vaidya S, Kulkarni J (2007) Simulation of heavy precipitation over Santacruz, Mumbai on 26 July 2005, using mesoscale model. Meteorol Atmos Phys 98(1–2):55–66
Winters AC, Martin JE (2014) The role of a polar/subtropical jet superposition in the May 2010 Nashville flood. Weather Forecast 29(4):954–974
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Chen, X., Hossain, F., Leung, LY. (2020). Application of Numerical Atmospheric Models. In: Hossain, F. (eds) Resilience of Large Water Management Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-030-26432-1_4
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