A comprehensive ocean prediction and analysis system based on the tangent linear and adjoint of a regional ocean model

By Andrew M. Moore, Hernan G. Arango, Emanuele Di Lorenzo, Bruce D. Cornuelle, Arthur J. Miller, D. Neilson. 2004

231 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/6778a7f34a1017659c0c0e9828258abfd41758e1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. James C. McWilliams
2. Alexander F. Shchepetkin
3. Hernan G. Arango
4. Dale B. Haidvogel
5. Andrew M. Moore
6. John C. Warner
7. Richard P. Signell
8. Christopher R. Sherwood

In Global and Planetary Change

1. James C. McWilliams
2. Alexander F. Shchepetkin
3. Hernan G. Arango
4. Dale B. Haidvogel
5. Andrew M. Moore
6. John C. Warner
7. Richard P. Signell
8. Christopher R. Sherwood

In Oceanography

1. James C. McWilliams
2. Alexander F. Shchepetkin
3. Hernan G. Arango
4. Dale B. Haidvogel
5. Andrew M. Moore
6. John C. Warner
7. Richard P. Signell
8. Christopher R. Sherwood

Citations in the corpus

• The Regional Ocean Modeling System (ROMS) 4-dimensional variational data assimilation systems Part I - System overview and formulation (2011, unknown): “TLROMS and ADROMS are described in more detail by Moore et al. (2004).”
• Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System (2008, methodology): “For example, we are now implementing data assimilation methods for ROMS which allow a relatively inexpensive computation of the gradient of the fit cost function using the adjoint model [55].”