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Ibebuchi, Chibuike Chiedozie, Richman, Michael B. (2024) Deep learning with autoencoders and LSTM for ENSO forecasting. Climate Dynamics, 62 (6). doi:10.1007/s00382-024-07180-8

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Reference TypeJournal (article/letter/editorial)
TitleDeep learning with autoencoders and LSTM for ENSO forecasting
JournalClimate Dynamics
AuthorsIbebuchi, Chibuike ChiedozieAuthor
Richman, Michael B.Author
Year2024 (June)Volume62
Issue6
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s00382-024-07180-8Search in ResearchGate
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Mindat Ref. ID17553218Long-form Identifiermindat:1:5:17553218:8
GUID0
Full ReferenceIbebuchi, Chibuike Chiedozie, Richman, Michael B. (2024) Deep learning with autoencoders and LSTM for ENSO forecasting. Climate Dynamics, 62 (6). doi:10.1007/s00382-024-07180-8
Plain TextIbebuchi, Chibuike Chiedozie, Richman, Michael B. (2024) Deep learning with autoencoders and LSTM for ENSO forecasting. Climate Dynamics, 62 (6). doi:10.1007/s00382-024-07180-8
In(2024, June) Climate Dynamics Vol. 62 (6). Springer Science and Business Media LLC

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Ibebuchi, Chibuike Chiedozie, Richman, Michael B. (2024) Correction: Deep learning with autoencoders and LSTM for ENSO forecasting. Climate Dynamics, 62 (6). doi:10.1007/s00382-024-07249-4
Ibebuchi, Chibuike Chiedozie, Richman, Michael B. (2023) On the use of Procrustes target analysis for validation of modeled precipitation modes. Climate Dynamics, 61 (11) 5065-5089 doi:10.1007/s00382-023-06841-4
Ibebuchi, Chibuike Chiedozie, Rainey, Seth, Obarein, Omon A, Silva, Alindomar, Lee, Cameron C (2024) Comparison of machine learning models in forecasting different ENSO types. Physica Scripta, 99 (8) 86007 doi:10.1088/1402-4896/ad65c5
Ibebuchi, Chibuike Chiedozie (2024) Fuzzy time series clustering using autoencoders neural network. AIMS Geosciences, 10 (3) 524-539 doi:10.3934/geosci.2024027
Ibebuchi, Chibuike Chiedozie, Richman, Michael B. (2023) Circulation typing with fuzzy rotated T-mode principal component analysis: methodological considerations. Theoretical and Applied Climatology, 153 (1) 495-523 doi:10.1007/s00704-023-04474-5
Ibebuchi, Chibuike Chiedozie, Richman, Michael B (2024) Non-linear modes of global sea surface temperature variability and their relationships with global precipitation and temperature. Environmental Research Letters, 19 (2) 24001 doi:10.1088/1748-9326/ad1c1d
Ibebuchi, Chibuike Chiedozie (2024) Predictability of the atmospheric circulation patterns in Africa, south of the equator, using variations of the Southern Annular Mode and ENSO. Theoretical and Applied Climatology, 155 (6) 4641-4651 doi:10.1007/s00704-024-04898-7
Ibebuchi, Chibuike Chiedozie, Abu, Itohan-Osa (2023) Characterization of temperature regimes in Western Europe, as regards the summer 2022 Western European heat wave. Climate Dynamics, 61 (7) 3707-3720 doi:10.1007/s00382-023-06760-4
Liang, Xuefeng, Hu, Zetian, You, Xiaochuan (2024) ENSONet: a data-driven ENSO forecasting model with concise spatial location learning parameters and temporal embedding. Climate Dynamics, 62 (5) 4081-4098 doi:10.1007/s00382-024-07119-z
Kumar, Siddharth, Mukhopadhyay, P, Balaji, C (2024) A machine learning based deep convective trigger for climate models. Climate Dynamics, 62 (8). doi:10.1007/s00382-024-07332-w
Ibebuchi, Chibuike Chiedozie, Schönbein, Daniel, Paeth, Heiko (2022) On the added value of statistical post-processing of regional climate models to identify homogeneous patterns of summer rainfall anomalies in Germany. Climate Dynamics, 59 (9) 2769-2783 doi:10.1007/s00382-022-06258-5
 
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