The Feasibility of Predicting Nino 3.4 Index Using a Sparse Approximation Algorithm
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W[2015AGUFMIN51B1807P]
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- ADS bibcode
- 2015AGUFMIN51B1807P
- year
- 2015
- Listed Authors
- Peng, X.
- Li, T.
- Gu, Y.
- Zhang, A.
- Listed Institutions
- State Key Laboratory of Hydroscience and Hydraulic Engineering, Tsinghua University, Beijing, China
- State Key Laboratory of Hydroscience and Hydraulic Engineering, Tsinghua University, Beijing, China
- Department of Electronic Engineering, Tsinghua University, Beijing, China
- Department of Electronic Engineering, Tsinghua University, Beijing, China
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