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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union

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doi:10.5194/npg-2015-76
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
21 Jan 2016
Review status
This discussion paper has been under review for the journal Nonlinear Processes in Geophysics (NPG). A final paper in NPG is not foreseen.
Impact of Optimal Observational Time Window on Parameter Optimization and Climate Prediction: Simulation with a Simple Climate Model
A. A. Yuxin Zhao, B. B. Xiong Deng, and C. C. Shuo Yang College of Automation, Harbin Engineering University, Harbin, China
Abstract. Usually, an optimal time window (OTW) centred at the assimilation time to collect measured data for an assimilation cycle, can greatly improve the CDA analysis skill. Here, with a simple coupled model, we study the impact of optimal OTWs on the quality of parameter optimization and climate prediction. Results show that the optimal OTWs of valid atmosphere or ocean observations exist for the parameter being estimated and incorporating the parameter optimization will do some impact on the optimal OTWs for the state estimation. And using the optimal OTWs can enhance the predictability both of the atmosphere and ocean.

Citation: Yuxin Zhao, A. A., Xiong Deng, B. B., and Shuo Yang, C. C.: Impact of Optimal Observational Time Window on Parameter Optimization and Climate Prediction: Simulation with a Simple Climate Model, Nonlin. Processes Geophys. Discuss., doi:10.5194/npg-2015-76, 2016.
A. A. Yuxin Zhao et al.
A. A. Yuxin Zhao et al.

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Short summary
An optimal time window centred at the assimilation time to collect measured data for an assimilation cycle, can improve the CDA analysis skill. We study the impact of optimal OTWs on the quality of parameter optimization and climate prediction in a simple coupled model. Results show that the optimal OTWs of valid atmosphere or ocean observations exist for the parameter being estimated and incorporating the parameter optimization will enhance the predictability both of the atmosphere and ocean.
An optimal time window centred at the assimilation time to collect measured data for an...
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