气候变化领域集成服务门户(CCPortal): Modeling Uncertainties of Bathymetry Predicted With Satellite Altimetry Data and Application to Tsunami Hazard Assessments

CCPortal

DOI	10.1029/2020JB019735
	Modeling Uncertainties of Bathymetry Predicted With Satellite Altimetry Data and Application to Tsunami Hazard Assessments
	Sepúlveda I.; Tozer B.; Haase J.S.; Liu P.L.F.; Grigoriu M.
发表日期	2020
ISSN	21699313
卷号	125 期号:9
英文摘要	Models of bathymetry derived from satellite radar altimetry are essential for modeling many marine processes. They are affected by uncertainties which require quantification. We propose an uncertainty model that assumes errors are caused by the lack of high-wavenumber content within the altimetry data. The model is then applied to a tsunami hazard assessment. We build a bathymetry uncertainty model for northern Chile. Statistical properties of the altimetry-predicted bathymetry error are obtained using multibeam data. We find that a Von Karman correlation function and a Laplacian marginal distribution can be used to define an uncertainty model based on a random field. We also propose a method for generating synthetic bathymetry samples conditional to shipboard measurements. The method is further extended to account for interpolation uncertainties, when bathymetry data resolution is finer than ∼10 km. We illustrate the usefulness of the method by quantifying the bathymetry-induced uncertainty of a tsunami hazard estimate. We demonstrate that tsunami leading wave predictions at middle/near field tide gauges and buoys are insensitive to bathymetry uncertainties in Chile. This result implies that tsunami early warning approaches can take full advantage of altimetry-predicted bathymetry in numerical simulations. Finally, we evaluate the feasibility of modeling uncertainties in regions without multibeam data by assessing the bathymetry error statistics of 15 globally distributed regions. We find that a general Von Karman correlation and a Laplacian marginal distribution can serve as a first-order approximation. The standard deviation of the uncertainty random field model varies regionally and is estimated from a proposed scaling law. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词	Altimetry-derived bathymetry uncertainty; Bathymetry random field model; Synthetic bathymetry; Tsunami assessment uncertainty
语种	英语
来源期刊	Journal of Geophysical Research: Solid Earth
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/187645
作者单位	Institute of Geophysics and Planetary Physics, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, United States; Civil and Environmental Engineering, Cornell University, Ithaca, NY, United States; Institute of Hydrological and Oceanic Sciences, National Central University, Jhongli, Taiwan; Department of Civil and Environmental Engineering, National University of Singapore, Singapore
推荐引用方式 GB/T 7714	Sepúlveda I.,Tozer B.,Haase J.S.,et al. Modeling Uncertainties of Bathymetry Predicted With Satellite Altimetry Data and Application to Tsunami Hazard Assessments[J],2020,125(9).
APA	Sepúlveda I.,Tozer B.,Haase J.S.,Liu P.L.F.,&Grigoriu M..(2020).Modeling Uncertainties of Bathymetry Predicted With Satellite Altimetry Data and Application to Tsunami Hazard Assessments.Journal of Geophysical Research: Solid Earth,125(9).
MLA	Sepúlveda I.,et al."Modeling Uncertainties of Bathymetry Predicted With Satellite Altimetry Data and Application to Tsunami Hazard Assessments".Journal of Geophysical Research: Solid Earth 125.9(2020).