A Rapid Forecasting and Mapping System of Storm Surge and Coastal Flooding

被引:16
作者
Yang, Kun [1 ]
Paramygin, Vladimir A. [1 ]
Sheng, Y. Peter [1 ]
机构
[1] Univ Florida, Dept Civil & Coastal Engn, Gainesville, FL 32611 USA
基金
美国海洋和大气管理局;
关键词
REAL-TIME; HURRICANE; INUNDATION; MODEL; WIND; PREDICTION; GENERATION; FOREST; OCEAN;
D O I
10.1175/WAF-D-19-0150.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A prototype of an efficient and accurate rapid forecasting and mapping system (RFMS) of storm surge is presented. Given a storm advisory from the National Hurricane Center, the RFMS can generate a coastal inundation map on a high-resolution grid in 1 min (reference system Intel Core i7-3770K). The foundation of the RFMS is a storm surge database consisting of high-resolution simulations of 490 optimal storms generated by a robust storm surge modeling system, Curvilinear-Grid Hydrodynamics in 3D (CH3D-SSMS). The RFMS uses an efficient quick kriging interpolation scheme to interpolate the surge response from the storm surge database, which considers tens of thousands of combinations of five landfall parameters of storms: central pressure deficit, radius to maximum wind, forward speed, heading direction, and landfall location. The RFMS is applied to southwest Florida using data from Hurricane Charley in 2004 and Hurricane Irma in 2017, and to the Florida Panhandle using data from Hurricane Michael in 2018 and validated with observed high water mark data. The RFMS results agree well with observation and direct simulation of the high-resolution CH3D-SSMS. The RFMS can be used for real-time forecasting during a hurricane or "what-if'' scenarios for mitigation planning and preparedness training, or to produce a probabilistic flood map. The RFMS can provide more accurate surge prediction with uncertainties if NHC can provide more accurate storm forecasts in the future. By incorporating storms for future climate and sea level rise, the RFMS could be used to generate future flood maps for coastal resilience and adaptation planning.
引用
收藏
页码:1663 / 1681
页数:19
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