Ma, Hao and Yu, Fei and Yang, Ming and Ge, Jingwen and Fan, Gaofeng and Liu, Ying and Xu, Zheyong and Wang, Jianjiang and Sun, Hangyuan (2022) Design and Construction of Daily-updating Objective Climate Prediction System Based on the Real-time Forecast of CFSv2. In: Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China.
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Abstract
The CFSv2 forecast products have been widely used in climate prediction operation all over the world. Although the real-time forecast is able to basically capture large pattern of climate anomaly, there still exists obvious bias, which may have enormous impacts on predicted result and thus cannot be
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 15:44 |
| Last Modified: | 17 Apr 2026 04:54 |
| URI: | http://eprints.eai.eu/id/eprint/40616 |
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