Numerical Model Investigations of Wind-driven Coastal Circulation

Numerical Model Investigations of Wind-driven Coastal Circulation
Author :
Publisher :
Total Pages : 318
Release :
ISBN-10 : OCLC:60811758
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Numerical Model Investigations of Wind-driven Coastal Circulation by : Brandy T. Cervantes

Download or read book Numerical Model Investigations of Wind-driven Coastal Circulation written by Brandy T. Cervantes and published by . This book was released on 2004 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Numerical Model Investigations of Wind-driven Coastal Circulation Related Books

Numerical Model Investigations of Wind-driven Coastal Circulation
Language: en
Pages: 318
Authors: Brandy T. Cervantes
Categories: Ocean currents
Type: BOOK - Published: 2004 - Publisher:

DOWNLOAD EBOOK

Numerical Modeling of Wind-driven Coastal Circulation Using a Turbulence Closure Scheme
Language: en
Pages: 144
Authors: Richard Styles
Categories: Intracoastal waterways
Type: BOOK - Published: 1993 - Publisher:

DOWNLOAD EBOOK

Numerical Models for the Prediction of Wind and Tide Driven Coastal Circulation and Water Level
Language: en
Pages: 18
Authors: Jon M. Hubertz
Categories:
Type: BOOK - Published: 1982 - Publisher:

DOWNLOAD EBOOK

This paper discusses two Inland Flooding Models which have features applicable to the study of river flow and flooding. The models are presently being used to a
Numerical Modeling of Ocean Circulation
Language: en
Pages: 231
Authors: Robert N. Miller
Categories: Science
Type: BOOK - Published: 2007-01-18 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

The modelling of ocean circulation is important not only for its own sake, but also in terms of the prediction of weather patterns and the effects of climate ch
The Prediction of Wind-Driven Coastal Circulation
Language: en
Pages: 3
Authors:
Categories:
Type: BOOK - Published: 1998 - Publisher:

DOWNLOAD EBOOK

This National Oceanographic Partnership Program project combines modeling, data assimilation and an observational program off Oregon built around deployment of