42 Past Sedimentation Records and Insight for Predicting Future Climate Impacts to Pacific Shores I

Thursday, 25 May 2017
8:30 AM - 11:50 AM
Room 318A

PROBABILISTIC MAPPING OF STORM-INDUCED COASTAL INUNDATION FOR CLIMATE CHANGE ADAPTATION

Paper number: 42-4
Program: Technical Sessions
Time: 9:15 AM – 9:35 AM

Authors

  • Ning Li Presenting Author
    University of Hawaii at Manoa, Honolulu, HI
  • Kwok Fai Cheung
    University of Hawaii at Manoa, Honolulu, HI

Abstract

This paper describes a probabilistic approach for mapping of coastal flood hazards associated with sea-level rise and storm intensification toward the end of the 21st century. Under the Representative Concentration Pathway (RCP) 8.5, projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5) indicate a 0.6-m ensemble mean of sea-level rise for the Central Pacific from the 1986-2005 to 2081-2100 epochs. Fifty downscaling simulations of the 2080-2099 period from the CMIP5 NCAR-CCSM4 model are compiled to produce 2492 hurricanes around the Hawaiian Islands. In comparison with a control dataset of 1980 to 1999, the simulated hurricanes show a slight increase in number and a northward shift of the tracks toward the Hawaiian Islands. There are 627 hurricanes in the 2080-2099 dataset with potential impact on Oahu, and the top 24 storms selected by wind speed at the urban Honolulu coast define a scenario set for inundation mapping. A suite of spectral wave, circulation, and Boussinesq models in a nested grid system describes generation and propagation of surge and waves across the ocean as well as wave setup and runup at the coast. The interoperable package includes phase-averaged and phase-resolving processes to determine the coastal flood hazards over a range of spatial and temporal scales during a hurricane event. Since the simulated dataset corresponds to a quasi 1000-year period, barring the tail end of the distribution, the suite of inundation scenarios allows for definition of flood hazard maps with return periods of up to 500 years or annual exceedance probabilities of 0.2% or greater for climate change adaptation.

Geological Society of America Abstracts with Programs. Vol. 49, No. 4

doi: 10.1130/abs/2017CD-292679

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