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Data assimilation is the process of combining our knowledge of a system, including both observations and dynamics, to produce estimates of the state of a system. The state of a system, or state variab...
The modular ocean data assimilation system (MODAS) was designed to meet the U.S. Navy's need to produce rapid estimates of present and near-term ocean conditions, often in situations where little or n...
This report summarizes goals, activities, and recommendations of a workshop on data assimilation held in Williamsburg, Virginia on September 9–11, 2003, and sponsored by the U.S. Office of Naval Resea...
The past two decades have seen the development of large multidisciplinary oceanographic programs that focus on understanding carbon cycling processes in coastal and oceanic environments. Synthesis and...
Monitoring and predicting the biogeochemical state of the ocean and marine ecosystems is an important application of operational oceanography that needs to be expanded. The accurate depiction of the o...
During 1996 and 1997, Neville Smith and Michel Lefèbvre developed the Global Ocean Data Assimilation Experiment (GODAE) concept (Smith and Lefèbvre, 1997). Its central idea was to conduct a 10-year in...
Ocean Data Assimilation Systems for GODAE     GODAE  Ocean       2015/7/6
Ocean data assimilation has matured to the point that observations are now routinely combined with model forecasts to produce a variety of ocean products. Approaches to ocean data assimilation vary wi...
A data assimilation technique using a one-dimensional, ocean mixed-layer model to advance the thermal structure observations to the analysis time is tested. The effects of insertions of erroneous temp...
Numerical experiments have been conducted to investigate the effect of updating models of the Indian Ocean using simulated temperature (mass) and velocity data. Two models are used: a linear reduced g...
Ocean circulation models are infinite-dimensional dynamical systems. If the Kalman filter is used to assimilate data into such systems, then their infinite-dimensionality must be recognized. In other ...
A global oceanic four-dimensional data assimilation system has been developed for use in initializing coupled oceanatmosphere general circulation models and many other applications. The data assimila...
Subsurface temperature data from the ship-of-opportunity network in the tropical Pacific Ocean was assimilated into a simple reduced-gravity model. A large initialization shock was found to occur in t...
A hydrographic dataset based on data from the SEQUAL/FOCAL experiment is used to determine the errors of a numerical simulation of the complete temperature and velocity fields of the tropical Atlantic...
The method of adjoint data assimilation is applied in a quasi-geostrophic (QG) open-ocean model of the Gulf Stream region. The results of data assimilation experiments are presented in which simulated...
The length of time an ocean model and its adjoint should be integrated in determining a steady state compatible with observed data is investigated. The starting point is based upon a suggestion that o...

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