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.
Status: this preprint has been withdrawn by the authors.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
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.
This preprint has been withdrawn.
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.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Download & links
-
Withdrawal notice
This preprint has been withdrawn.
-
Preprint
(686 KB)
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
Viewed
Total article views: 1,256 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Jan 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
817 | 325 | 114 | 1,256 | 109 | 115 |
- HTML: 817
- PDF: 325
- XML: 114
- Total: 1,256
- BibTeX: 109
- EndNote: 115
Cited
Latest update: 14 Dec 2024
A. A. Yuxin Zhao
College of Automation, Harbin Engineering University, Harbin, China
B. B. Xiong Deng
College of Automation, Harbin Engineering University, Harbin, China
C. C. Shuo Yang
College of Automation, Harbin Engineering University, Harbin, China
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...