Author
Title
Year
Publication
Volume
Pages
Links
Jardak, M. ; Navon, I.M. ; Zupanski, M.
Comparison of sequential data assimilation methods for the Kuramoto-Sivashinsky equation
2009
International Journal for Numerical Methods in Fluids
Perrie, W. ; Zhang, W. ; Bourassa, M. ; Shen, H. ; Vachon, P.W.
Impact of Satellite Winds on Marine Wind Simulations
2008
Weather and Forecasting
23
290-303
Belyaev, K.P. ; Tanajura, C.A.S. ; O'Brien, J.J.
A data assimilation method used with an ocean circulation model and its application to the tropical Atlantic
2001
Applied Mathematical Modelling
25
655-670
Smedstad, O.M. ; Hurlburt, H.E. ; Metzger, E.J. ; Rhodes, R.C. ; Shriver, J.F. ; Wallcraft, A.J. ; Kara, A.B.
An operational Eddy resolving 1/16° global ocean nowcast/forecast system
2003
Journal of Marine Systems
40-41
341-361
Yu, P. ; Morey, S.L. ; O'Brien, J.J.
A reduced-dynamics variational approach for the assimilation of altimeter data into eddy-resolving ocean models
2009
Ocean Modelling
27
215-229
Srinivasan, A. ; Chassignet, E.P. ; Bertino, L. ; Brankart, J.M. ; Brasseur, P. ; Chin, T.M. ; Counillon, F. ; Cummings, J.A. ; Mariano, A.J. ; Smedstad, O.M. ; Thacker, W.C.
A comparison of sequential assimilation schemes for ocean prediction with the HYbrid Coordinate Ocean Model (HYCOM): Twin experiments with static forecast error covariances
2011
Ocean Modelling
37
85-111
Yu, P
Development of New Techniques for Assimilating Satellite Altimetry Data into Ocean Models
2006
Cocke, S. ; Boisserie, M. ; Shin, D.-W.
A coupled soil moisture initialization scheme for the FSU/COAPS climate model
2013
Inverse Problems in Science and Engineering
21
420-437
Cintra, R. ; Campos Velho, H. ; Cocke, S.
Multilayer Perceptron on data assimilation system applied to FSU global model
2016
Jacob, J. C. ; Armstrong, E. M. ; Bourassa, M. A. ; Cram, T. ; Elya, J. L. ; Greguska, F. R., III ; Huang, T. ; Ji, Z. ; Jiang, Y. ; Li, Y. ; McGibbney, L. J. ; Quach, N. ; Smith, S. R. ; Tsontos, V. M. ; Wilson, B. D. ; Worley, S. J. ; Yang, C. P.
OceanWorks: Enabling Interactive Oceanographic Analysis in the Cloud with Multivariate Data
2018
American Geophysical Union
Fall Meeting