Mapping Dependence Between Extreme Rainfall and Storm Surge

风暴潮 浪涌 环境科学 大洪水 气候学 沿海洪水 水深测量 风暴 潮位计 气象学 极值理论 地质学 海平面 海洋学 气候变化 地理 海平面上升 统计 数学 考古
作者
Wenyan Wu,Kathleen L. McInnes,Julian O’Grady,Ron Hoeke,Michael Leonard,Seth Westra
出处
期刊:Journal Of Geophysical Research: Oceans [Wiley]
卷期号:123 (4): 2461-2474 被引量:61
标识
DOI:10.1002/2017jc013472
摘要

Dependence between extreme storm surge and rainfall can have significant implications for flood risk in coastal and estuarine regions. To supplement limited observational records, we use reanalysis surge data from a hydrodynamic model as the basis for dependence mapping, providing information at a resolution of approximately 30 km along the Australian coastline. We evaluated this approach by comparing the dependence estimates from modeled surge to that calculated using historical surge records from 79 tide gauges around Australia. The results show reasonable agreement between the two sets of dependence values, with the exception of lower seasonal variation in the modeled dependence values compared to the observed data, especially at locations where there are multiple processes driving extreme storm surge. This is due to the combined impact of local bathymetry as well as the resolution of the hydrodynamic model and its meteorological inputs. Meteorological drivers were also investigated for different combinations of extreme rainfall and surge—namely rain-only, surge-only, and coincident extremes—finding that different synoptic patterns are responsible for each combination. The ability to supplement observational records with high-resolution modeled surge data enables a much more precise quantification of dependence along the coastline, strengthening the physical basis for assessments of flood risk in coastal regions.
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