Data-Driven Global Subseasonal Forecast for Intraseasonal Oscillation Components
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data
2.2. Methods
2.2.1. Filtering Method
2.2.2. Forecast Model
2.2.3. Forecast Effect Evaluation Methods
3. Model Forecast Results
3.1. Prediction Case Analysis: Original Data vs. ISO Component
3.2. Overall Evaluation of the Model
3.3. Prediction and Evaluation of the 500 hPa Circulation Situation in the Eurasian Region
4. Discussion and Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
References
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Test Year | Z500 (Units: m2 s−2) | T850 (Units: K) |
---|---|---|
(2007, 2008) | 561.14/565.21 | 2.19/2.20 |
(2009, 2010) | 567.92/572.66 | 2.24/2.26 |
(2011, 2012) | 570.70/574.64 | 2.18/2.20 |
(2013, 2014) | 556.41/560.09 | 2.20/2.21 |
(2015, 2016) | 567.05/571.18 | 2.19/2.20 |
(2017, 2018) | 558.68/562.31 | 2.19/2.20 |
Model | Z500 (Units: m2 s−2) | T850 (Units: K) | ||||
---|---|---|---|---|---|---|
10–20 | 21–30 | 10–30 | 10–20 | 21–30 | 10–30 | |
CFSv2 | 556.44 * | 600.98 * | 577.65 * | 2.22 * | 2.37 * | 2.29 * |
ResNet | 551.15 * | 574.59 | 562.31 * | 2.17 * | 2.24 | 2.20 * |
SE-ResNet | 544.89 | 573.84 | 558.68 | 2.14 | 2.24 | 2.19 |
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Shen, Y.; Lu, C.; Wang, Y.; Huang, D.; Xin, F. Data-Driven Global Subseasonal Forecast for Intraseasonal Oscillation Components. Atmosphere 2023, 14, 1682. https://doi.org/10.3390/atmos14111682
Shen Y, Lu C, Wang Y, Huang D, Xin F. Data-Driven Global Subseasonal Forecast for Intraseasonal Oscillation Components. Atmosphere. 2023; 14(11):1682. https://doi.org/10.3390/atmos14111682
Chicago/Turabian StyleShen, Yichen, Chuhan Lu, Yihan Wang, Dingan Huang, and Fei Xin. 2023. "Data-Driven Global Subseasonal Forecast for Intraseasonal Oscillation Components" Atmosphere 14, no. 11: 1682. https://doi.org/10.3390/atmos14111682