Amanote Research

Amanote Research

    RegisterSign In

Quantification of Uncertainty in Probabilistic Storm Surge Models : Literature Review

doi 10.21079/11681/32295
Full Text
Open PDF
Abstract

Available in full text

Date

March 6, 2019

Authors
Victor GonzalezNorberto Nadal-CaraballoJeffrey MelbyMary Cialone
Publisher

Engineer Research and Development Center (U.S.)


Related search

CaMEL and ADCIRC Storm Surge Models—A Comparative Study

Journal of Marine Science and Engineering
CivilOcean EngineeringTechnologyWater ScienceStructural Engineering
2017English

Parameter Sensitivity and Uncertainty Analysis for a Storm Surge and Wave Model

Natural Hazards and Earth System Sciences
EarthPlanetary Sciences
2016English

Uncertainty Quantification in Hydrologic Predictions: A Brief Review

Journal of Environmental Informatics Letters
2019English

Hydrologic Feasibility of Storm Surge Barriers

2012English

Uncertainty of Future Storm Surge Projection Due to Climate Change - A Case Study in the Tokyo Bay -

Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering)
2011English

Graphical Models in Machine Learning, Networks and Uncertainty Quantification

2019English

Uncertainty Quantification of Large-Scale Health Economic Simulation Models

Value in Health
MedicineHealth PolicyPublic HealthOccupational HealthEnvironmental
2013English

Storm Surge Effects at Leixoes

Coastal Engineering Proceedings
1974English

Coupling of Hydrodynamic and Wave Models Case Study for Winter Storm Surge in Bohai Sea

Coastal Engineering Proceedings
2014English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy