Preprints
https://doi.org/10.5194/npg-2015-76
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/npg-2015-76
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
21 Jan 2016
21 Jan 2016
Status: this preprint has been withdrawn by the authors.
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.
How to cite. 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. [preprint], https://doi.org/10.5194/npg-2015-76, 2016.
Download & links
-
Withdrawal notice
This preprint has been withdrawn.
-
Preprint
(686 KB)
A. A. Yuxin Zhao et al.
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
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
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
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.
Viewed
Total article views: 999 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Jan 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 637 | 273 | 89 | 999 | 81 | 90 |
- HTML: 637
- PDF: 273
- XML: 89
- Total: 999
- BibTeX: 81
- EndNote: 90
Cited
Latest update: 02 Jul 2022
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...