System Design and Evaluation of Coupled Ensemble Data Assimilation for Global Oceanic Climate Studies

@article{Zhang2007SystemDA,
  title={System Design and Evaluation of Coupled Ensemble Data Assimilation for Global Oceanic Climate Studies},
  author={Shaoqing Zhang and Matthew J. Harrison and Anthony J. Rosati and Andrew T. Wittenberg},
  journal={Monthly Weather Review},
  year={2007},
  volume={135},
  pages={3541-3564}
}
Abstract A fully coupled data assimilation (CDA) system, consisting of an ensemble filter applied to the Geophysical Fluid Dynamics Laboratory’s global fully coupled climate model (CM2), has been developed to facilitate the detection and prediction of seasonal-to-multidecadal climate variability and climate trends. The assimilation provides a self-consistent, temporally continuous estimate of the coupled model state and its uncertainty, in the form of discrete ensemble members, which can be… 

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