21 Jan 2016
21 Jan 2016
Impact of Optimal Observational Time Window on Parameter Optimization and Climate Prediction: Simulation with a Simple Climate Model
- College of Automation, Harbin Engineering University, Harbin, China
- 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.
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Withdrawal notice
This preprint has been withdrawn.
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Preprint
(686 KB)
A. A. Yuxin Zhao et al.
Interactive discussion


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RC1: 'Review', Anonymous Referee #1, 03 Feb 2016
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RC2: 'Report on "Impact of optimal....."', Anonymous Referee #2, 23 Feb 2016
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AC1: 'Impact of Optimal Observational Time Window on Parameter Optimization and Climate Prediction: Simulation with a Simple Climate Model', Xiong Deng, 28 Apr 2016
Interactive discussion


-
RC1: 'Review', Anonymous Referee #1, 03 Feb 2016
-
RC2: 'Report on "Impact of optimal....."', Anonymous Referee #2, 23 Feb 2016
-
AC1: 'Impact of Optimal Observational Time Window on Parameter Optimization and Climate Prediction: Simulation with a Simple Climate Model', Xiong Deng, 28 Apr 2016
A. A. Yuxin Zhao et al.
A. A. Yuxin Zhao et al.
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