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Uncertainty and feasibility of dynamical downscaling for modeling tropical cyclones for storm surge simulation

Author

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  • Zhaoqing Yang

    (Pacific Northwest National Laboratory)

  • Sourav Taraphdar

    (Pennsylvania State University
    Pacific Northwest National Laboratory)

  • Taiping Wang

    (Pacific Northwest National Laboratory)

  • L. Ruby Leung

    (Pacific Northwest National Laboratory)

  • Molly Grear

    (University of Washington)

Abstract

This paper presents a modeling study conducted to evaluate the uncertainty of a regional model in simulating hurricane wind and pressure fields, and the feasibility of driving coastal storm surge simulation using an ensemble of region model outputs produced by 18 combinations of 3 convection schemes and 6 microphysics parameterizations, using Hurricane Katrina as a test case. Simulated wind and pressure fields were compared to observed H*Wind data for Hurricane Katrina, and simulated storm surge was compared to observed high-water marks on the northern coast of the Gulf of Mexico. The ensemble modeling analysis demonstrated that the regional model was able to reproduce the characteristics of Hurricane Katrina with reasonable accuracy and can be used to drive the coastal ocean model for simulating coastal storm surge. Results indicated that the regional model is sensitive to both convection and microphysics parameterizations that simulate moist processes closely linked to the tropical cyclone dynamics that influence hurricane development and intensification. The Zhang and McFarlane (ZM) convection scheme and the Lim and Hong (WDM6) microphysics parameterization are the most skillful in simulating Hurricane Katrina maximum wind speed and central pressure, among the three convection and the six microphysics parameterizations. Error statistics of simulated maximum water levels were calculated for a baseline simulation with H*Wind forcing and the 18 ensemble simulations driven by the regional model outputs. The storm surge model produced the overall best results in simulating the maximum water levels using wind and pressure fields generated with the ZM convection scheme and the WDM6 microphysics parameterization.

Suggested Citation

  • Zhaoqing Yang & Sourav Taraphdar & Taiping Wang & L. Ruby Leung & Molly Grear, 2016. "Uncertainty and feasibility of dynamical downscaling for modeling tropical cyclones for storm surge simulation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 1161-1184, November.
    • Handle: RePEc:spr:nathaz:v:84:y:2016:i:2:d:10.1007_s11069-016-2482-y
    DOI: 10.1007/s11069-016-2482-y
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    References listed on IDEAS

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    1. Sudong Xu & Wenrui Huang & Guiping Zhang & Feng Gao & Xiaomin Li, 2014. "Integrating Monte Carlo and hydrodynamic models for estimating extreme water levels by storm surge in Colombo, Sri Lanka," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(1), pages 703-721, March.
    2. V. Cardone & A. Cox, 2009. "Tropical cyclone wind field forcing for surge models: critical issues and sensitivities," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 51(1), pages 29-47, October.
    3. Khandker Tasnim & Tomoya Shibayama & Miguel Esteban & Hiroshi Takagi & Koichiro Ohira & Ryota Nakamura, 2015. "Field observation and numerical simulation of past and future storm surges in the Bay of Bengal: case study of cyclone Nargis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 1619-1647, January.
    4. Sang Oh & Il-Ju Moon, 2013. "Typhoon and storm surge intensity changes in a warming climate around the Korean Peninsula," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 66(3), pages 1405-1429, April.
    5. Kao-San Yeh & Xuejin Zhang & Sundararaman Gopalakrishnan & Sim Aberson & Robert Rogers & Frank Marks & Robert Atlas, 2012. "Performance of the experimental HWRF in the 2008 Hurricane Season," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 63(3), pages 1439-1449, September.
    6. Kelin Hu & Qin Chen & Sytske Kimball, 2012. "Consistency in hurricane surface wind forecasting: an improved parametric model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 61(3), pages 1029-1050, April.
    7. Zhaoqing Yang & Taiping Wang & Ruby Leung & Kathy Hibbard & Tony Janetos & Ian Kraucunas & Jennie Rice & Benjamin Preston & Tom Wilbanks, 2014. "A modeling study of coastal inundation induced by storm surge, sea-level rise, and subsidence in the Gulf of Mexico," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 1771-1794, April.
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