Prediction of nontidal sea level variations in the Persian Gulf using data assimilation techniques-Reference-Cited by-同舟云学术

Prediction of nontidal sea level variations in the Persian Gulf using data assimilation techniques

Published:2018-07-03 Issue:3 Volume:60 Page:340-355
ISSN:2166-4250
Container-title:Coastal Engineering Journal
language:en
Short-container-title:Coastal Engineering Journal

Author:

Afshar-Kaveh Naghmeh¹^ORCID,Ghaheri Abbas¹^ORCID,Chegini Vahid²^ORCID,Nazarali Mostafa³^ORCID

Affiliation:

1. School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran

2. Iranian National Institute for Oceanography and Atmospheric Science, Tehran, Iran

3. Department of Coastal Engineering, Pouya Tarh Pars Consulting Engineers Company, Tehran, Iran

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/21664250.2018.1530852

Reference40 articles.

1. Evaluation of Different Wind Fields for Storm Surge Modeling in the Persian Gulf

2. Application of a Hybrid Approach for Tide-Surge Modeling in the Persian Gulf

3. Amante, C., and B. W. Eakins. 2009. “ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis.” In National Geophysical Data Center, National Oceanic and Atmospheric Administration, Technical Memorandum NESDIS NGDC-24, 19. Boulder: Colorado.

4. Data Assimilation

5. Application of finite volume coastal ocean model to hindcasting the wind-induced sea-level variation in Fukuoka bay

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