Non-Stationary Probabilistic Tsunami Hazard Assessments Compounding Tides and Sea Level Rise

10.1029/2022EF002965

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Bibliographic Details
Main Authors: Sepulveda, Ignacio, Liu, Philip L-F, Grigoriu, Mircea, Haase, Jennifer S, Winckler, Patricio
Other Authors: CIVIL AND ENVIRONMENTAL ENGINEERING
Format: Article
Language:English
Published: AMER GEOPHYSICAL UNION 2023
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/241690
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-2416902024-04-03T09:07:21Z Non-Stationary Probabilistic Tsunami Hazard Assessments Compounding Tides and Sea Level Rise Sepulveda, Ignacio Liu, Philip L-F Grigoriu, Mircea Haase, Jennifer S Winckler, Patricio CIVIL AND ENVIRONMENTAL ENGINEERING Science & Technology Life Sciences & Biomedicine Physical Sciences Environmental Sciences Geosciences, Multidisciplinary Meteorology & Atmospheric Sciences Environmental Sciences & Ecology Geology tsunami tides sea level rise probabilistic tsunami hazard assessment SROM collocation methods SLIP MODEL 10.1029/2022EF002965 EARTHS FUTURE 10 11 2023-06-08T01:58:40Z 2023-06-08T01:58:40Z 2022-11-01 2023-06-06T03:42:03Z Article Sepulveda, Ignacio, Liu, Philip L-F, Grigoriu, Mircea, Haase, Jennifer S, Winckler, Patricio (2022-11-01). Non-Stationary Probabilistic Tsunami Hazard Assessments Compounding Tides and Sea Level Rise. EARTHS FUTURE 10 (11). ScholarBank@NUS Repository. https://doi.org/10.1029/2022EF002965 2328-4277 2328-4277 https://scholarbank.nus.edu.sg/handle/10635/241690 en AMER GEOPHYSICAL UNION Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Science & Technology
Life Sciences & Biomedicine
Physical Sciences
Environmental Sciences
Geosciences, Multidisciplinary
Meteorology & Atmospheric Sciences
Environmental Sciences & Ecology
Geology
tsunami
tides
sea level rise
probabilistic tsunami hazard assessment
SROM
collocation methods
SLIP
MODEL
spellingShingle Science & Technology
Life Sciences & Biomedicine
Physical Sciences
Environmental Sciences
Geosciences, Multidisciplinary
Meteorology & Atmospheric Sciences
Environmental Sciences & Ecology
Geology
tsunami
tides
sea level rise
probabilistic tsunami hazard assessment
SROM
collocation methods
SLIP
MODEL
Sepulveda, Ignacio
Liu, Philip L-F
Grigoriu, Mircea
Haase, Jennifer S
Winckler, Patricio
Non-Stationary Probabilistic Tsunami Hazard Assessments Compounding Tides and Sea Level Rise
description 10.1029/2022EF002965
author2 CIVIL AND ENVIRONMENTAL ENGINEERING
author_facet CIVIL AND ENVIRONMENTAL ENGINEERING
Sepulveda, Ignacio
Liu, Philip L-F
Grigoriu, Mircea
Haase, Jennifer S
Winckler, Patricio
format Article
author Sepulveda, Ignacio
Liu, Philip L-F
Grigoriu, Mircea
Haase, Jennifer S
Winckler, Patricio
author_sort Sepulveda, Ignacio
title Non-Stationary Probabilistic Tsunami Hazard Assessments Compounding Tides and Sea Level Rise
title_short Non-Stationary Probabilistic Tsunami Hazard Assessments Compounding Tides and Sea Level Rise
title_full Non-Stationary Probabilistic Tsunami Hazard Assessments Compounding Tides and Sea Level Rise
title_fullStr Non-Stationary Probabilistic Tsunami Hazard Assessments Compounding Tides and Sea Level Rise
title_full_unstemmed Non-Stationary Probabilistic Tsunami Hazard Assessments Compounding Tides and Sea Level Rise
title_sort non-stationary probabilistic tsunami hazard assessments compounding tides and sea level rise
publisher AMER GEOPHYSICAL UNION
publishDate 2023
url https://scholarbank.nus.edu.sg/handle/10635/241690
_version_ 1795375009855700992