Modern Approaches to Data Assimilation in Ocean Modeling

✍ Scribed by P. Malanotte-Rizzoli (Eds.)

• Publisher: Elsevier, Academic Press
• Year: 1996
• Tongue: English
• Leaves: 469
• Series: Elsevier Oceanography Series 61
• Category: Library

✦ Synopsis

The field of oceanographic data assimilation is now well established. The main area of concern of oceanographic data assimilation is the necessity for systematic model improvement and ocean state estimation. In this respect, the book presents the newest, innovative applications combining the most sophisticated assimilation methods with the most complex ocean circulation models.Ocean prediction has also now emerged as an important area in itself. The book contains reviews of scientific oceanographic issues covering different time and space scales. The application of data assimilation methods can provide significant advances in the understanding of this subject. Also included are the first, recent developments in the forecasting of oceanic flows.Only original articles that have undergone full peer review are presented, to ensure the highest scientific quality. This work provides an excellent coverage of state-of-the-art oceanographic data assimilation.

✦ Table of Contents

Content:
Preface
Pages v-vi
Paola Malanotte-Rizzoli

List of contributors
Pages vii-ix

The Oceanographic Data Assimilation Problem: Overview, Motivation and Purposes Original Research Article
Pages 3-17
Paola Malanotte-Rizzoli, Eli Tziperman

Recent developments in prognostic ocean modeling Original Research Article
Pages 21-56
William R. Holland, Antonietta Capotondi

Oceanographic data for parameter estimation Original Research Article
Pages 57-76
Nelson G. Hogg

A case study of the effects of errors in satellite altimetry on data assimilation Original Research Article
Pages 77-96
Lee-Lueng Fu, Ichiro Fukumori

Ocean acoustic tomography: Integral data and ocean models Original Research Article
Pages 97-115
Bruce D. Cornuelle, Peter F. Worcester

Combining data and a global primitive equation ocean general circulation model using the adjoint method Original Research Article
Pages 119-145
Z. Sirkes, E. Tziperman, W.C. Thacker

Data assimilation methods for ocean tides Original Research Article
Pages 147-179
Gary D. Egbert, Andrew F. Bennett

Global ocean data assimilation system Original Research Article
Pages 181-203
A. Rosati, R. Gudgel, K. Miyakoda

Tropical data assimilation: theoretical aspects Original Research Article
Pages 207-233
Robert N. Miller, Mark A. Cane

Data assimilation in support of tropical ocean circulation studies Original Research Article
Pages 235-270
Antonio J. Busalacchi

Ocean data assimilation as a component of a climate forecast system Original Research Article
Pages 271-293
Ants Leetmaa, Ming Ji

A Methodology for the construction of a hierarchy of kalman filters for nonlinear primitive equation models Original Research Article
Pages 297-317
Paola Malanotte-Rizzoli, Ichiro Fukumori, Roberta E. Young

Data assimilation in a north pacific ocean monitoring and prediction system Original Research Article
Pages 319-345
M.R. Carnes, D.N. Fox, R.C. Rhodes, O.M. Smedstad

Towards an operational nowcast/forecast system for the U.S. east coast Original Research Article
Pages 347-376
F. Aikman III, G.L. Mellor, T. Ezer, D. Sheinin, P. Chen, L. Breaker, K. Bosley, D.B. Rao

Real-time regional forecasting Original Research Article
Pages 377-410
Allan R. Robinson, Hernan G. Arango, Alex Warn-Varnas, Wayne G. Leslie, Arthur J. Miller, Patrick J. Haley, Carlos J. Lozano

An interdisciplinary ocean prediction system: Assimilation strategies ana structured data models Original Research Article
Pages 413-452
Carlos J. Lozano, Allan R. Robinson, Hernan G. Arango, Avijit Gangopadhyay, Quinn Sloan, Patrick J. Haley, Laurence Anderson, Wayne Leslie

Index
Pages 453-455