Evaluating the Role of the EOF Analysis in 4DEnVar Methods
Abstract
:1. Introduction
2. Mathematical Formulations
2.1. The DRP-4DVar and the 4DEnVar Methods
2.2. The ETKF
2.3. Comparison among the DRP-4DVar, the 4DEnVar, and the ETKF Methods
3. Experiment Design
4. Experimental Results
5. Summary and Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Experiment | Sensitive Parameter | Parameter Setting |
---|---|---|
Exp-2 | EOF truncation number, | 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75 |
Exp-3 | Ensemble size, | 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100 |
Exp-4 | Assimilation window length, (Unit: hour) | 0, 6, 12, 18, 24, 30, 36, 42, 48, 54 |
Exp-5 | Standard deviation of initial random perturbation for each assimilation window, | 0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35 |
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Kou, X.; Huang, Z.; Liu, H.; Zhang, M.; Shen, S.; Peng, Z. Evaluating the Role of the EOF Analysis in 4DEnVar Methods. Atmosphere 2017, 8, 146. https://doi.org/10.3390/atmos8080146
Kou X, Huang Z, Liu H, Zhang M, Shen S, Peng Z. Evaluating the Role of the EOF Analysis in 4DEnVar Methods. Atmosphere. 2017; 8(8):146. https://doi.org/10.3390/atmos8080146
Chicago/Turabian StyleKou, Xingxia, Zhekun Huang, Hongnian Liu, Meigen Zhang, Si Shen, and Zhen Peng. 2017. "Evaluating the Role of the EOF Analysis in 4DEnVar Methods" Atmosphere 8, no. 8: 146. https://doi.org/10.3390/atmos8080146