Published November 14, 2019
| Version v1
Journal article
Open
Data for "Improved ENSO prediction skill resulting from reduced climate drift in IAP-DecPreS: a comparison of full-field and anomaly initialization"
Description
Data for the paper "Improved ENSO prediction skill resulting from reduced climate drift in IAP-DecPreS: a comparison of full-field and anomaly initialization".
Files
Files
(2.5 GB)
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md5:9689f25c4254ed8f080494372764de8e
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24.6 MB | Download |
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md5:148c0e47b17feb58b0137bab52124aa2
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24.6 MB | Download |
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md5:4e23cfbdafd6b36c089ff7eee4e24307
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417.4 MB | Download |
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md5:7beda43123c513fc10ab2d1364a399bb
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417.4 MB | Download |
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md5:362667bb0ecf34f27f48a8c597a7bea7
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417.4 MB | Download |
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md5:d78ffbd31d7d2ef1897a0abb1c2311e9
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417.4 MB | Download |
Additional details
References
- Wu, B., Zhou, T., & Zheng, F. (2018). EnOI-IAU Initialization Scheme Designed for Decadal Climate Prediction System IAP-DecPreS. Journal of Advances in Modeling Earth Systems, 10(2), 342–356. https://doi.org/10.1002/ 2017MS001132
- Hu S., Wu B., Zhou T. J., Guo Z., (2019). A comparison of full‑field and anomaly initialization for seasonal prediction of Indian Ocean basin mode, Climate Dynamics, doi:10.1007/s00382-019-04916-9