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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...
We determined the source of fatty acids in scleractinian corals by separately measuring and comparing thed13C values of fatty acids in zooxanthellae and coral hosts from two scleractinian coral specie...
To compensate for a poorly known geoid, satellite altimeter data is usually analyzed in terms of anomalies from the time mean record. When such anomalies are assimilated into an ocean model, the bias ...
Oceanic and atmospheric prediction is based on cyclic analysis-forecast systems that assimilate new observations as they become available. In such observationally forced systems, errors amplify depend...
Several marine phytoplankton species, primarily diatoms, were examined for the accumulation of iodide (10 species) and iodate (9 species) using radioactive iodine-125 in f/2 artificial seawater, a ni...
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...
The problem of assimilating satellite altimeter data into an ocean model is considered for the case in which the ocean currents are weak, so that they can be represented by a superposition of linear R...
Techniques for the synoptic analysis, vertical inference, dynamical adjustment, and forecast of altimetric and deeper in situ data are presented as a first step towards the design of continuous assimi...
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...

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