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Predicting sea surface temperature (SST) within the El Ni\~no-Southern Oscillation (ENSO) region has been extensively studied due to its significant influence on global temperature and precipitation patterns.
Atmospheric predictability as revealed by naturally occurring analogues
Lorenz, E. N · 1969
Earlier work this paper cites.
Variations in tropical sea surface temperature and surface wind fields associated with the Southern Oscillation/El Niño
Rasmusson, E. M. & Carpenter, T. H · 1982
Earlier work this paper cites.
Climate anomalies in Europe associated with ENSO extremes
Fraedrich, K. & Müller, K · 1992
Earlier work this paper cites.
Prediction of Niño 3 sea surface temperatures using linear inverse modeling
Penland, C. & Magorian, T · 1993
Earlier work this paper cites.
The optimal growth of tropical sea surface temperature anomalies
Penland, C. & Sardeshmukh, P. D · 1995
Earlier work this paper cites.
The definition of El Niño
Trenberth, K. E · 1997
Earlier work this paper cites.
Long short-term memory
Hochreiter, S. & Schmidhuber, J · 1997
Earlier work this paper cites.
ENSO-like interdecadal variability: 1900–93
Zhang, Y., Wallace, J. M. & Battisti, D. S · 1997
Earlier work this paper cites.
On the weakening relationship between the Indian monsoon and ENSO
Kumar, K. K., Rajagopalan, B. & Cane, M. A · 1999
Earlier work this paper cites.
Currents of change: Impacts of El Niño and La Niña on climate and society (Cambridge University Press, 2001)
Glantz, M. H. et al · 2001
Earlier work this paper cites.
Indices of El Niño evolution
Trenberth, K. E. & Stepaniak, D. P · 2001
Earlier work this paper cites.
Advances in application of climate prediction in agriculture
Hammer, G. et al · 2001
Earlier work this paper cites.
El Niño and its impact on fire weather conditions in Alaska
Hess, J. C., Scott, C. A., Hufford, G. L. & Fleming, M. D · 2001
Earlier work this paper cites.
Recurrent neural networks
Medsker, L. R. & Jain, L · 2001
Earlier work this paper cites.
Western North Pacific tropical cyclone intensity and ENSO
Camargo, S. J. & Sobel, A. H · 2005
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ENSO as an integrating concept in earth science
McPhaden, M. J., Zebiak, S. E. & Glantz, M. H · 2006
Earlier work this paper cites.
Translating climate forecasts into agricultural terms: Advances and challenges
Hansen, J. W., Challinor, A., Ines, A., Wheeler, T. & Moron, V · 2006
Earlier work this paper cites.
Interannual variations in fire weather, fire extent, and synoptic-scale circulation patterns in northern California and Oregon
Trouet, V., Taylor, A. H., Carleton, A. M. & Skinner, C. N · 2009
Earlier work this paper cites.
Adaptive subgradient methods for online learning and stochastic optimization
Duchi, J., Hazan, E. & Singer, Y · 2011
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The community climate system model version 4
Gent, P. R. et al · 2011
Cited alongside, same era.
The twentieth century reanalysis project
Compo, G. P. et al · 2011
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Generating sequences with recurrent neural networks
Graves, A · 2013
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Inconsistencies between long-term trends in storminess derived from the 20CR reanalysis and observations
Krueger, O., Schenk, F., Feser, F. & Weisse, R · 2013
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Cho, K., van Merriënboer, B., Bahdanau, D. & Bengio, Y · 2014
Skillful climate forecasts of the tropical Indo-Pacific ocean using model-analogs
Ding, H., Newman, M., Alexander, M. A. & Wittenberg, A. T · 2018
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Deterministic skill of ENSO predictions from the North American Multimodel Ensemble
Barnston, A. G., Tippett, M. K., Ranganathan, M. & L’Heureux, M. L · 2019
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Deep learning for multi-year ENSO forecasts
Ham, Y.-G., Kim, J.-H. & Luo, J.-J · 2019
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Analyzing El Niño–Southern Oscillation predictability using long-short-term-memory models
Huang, A., Vega-Westhoff, B. & Sriver, R. L · 2019
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Data-driven spectral decomposition and forecasting of ergodic dynamical systems
Giannakis, D · 2019
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PyTorch: An imperative style, high-performance deep learning library
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Empirical evaluation of gated recurrent neural networks on sequence modeling
Chung, J., Gulcehre, C., Cho, K. & Bengio, Y · 2014
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A new scenario framework for climate change research: Scenario matrix architecture
Van Vuuren, D. P. et al · 2014
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A vector autoregressive ENSO prediction model
Chapman, D., Cane, M. A., Henderson, N., Lee, D. E. & Chen, C · 2015
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Shi, X. et al · 2015
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Operator Theoretic Aspects of Ergodic Theory , vol. 272 (Springer, 2015)
Eisner, T., Farkas, B., Haase, M. & Nagel, R · 2015
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Paszke, A. et al · 2019
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Extended-range statistical ENSO prediction through operator-theoretic techniques for nonlinear dynamics
Wang, X., Slawinska, J. & Giannakis, D · 2020
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DeepAR: Probabilistic forecasting with autoregressive recurrent networks
Salinas, D., Flunkert, V., Gasthaus, J. & Januschowski, T · 2020
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GluonTS: Probabilistic and neural time series modeling in Pyhon
Alexandrov, A. et al · 2020
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SPEAR: The next generation GFDL modeling system for seasonal to multidecadal prediction and projection
Delworth, T. L. et al · 2020
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Likelihood of unprecedented drought and fire weather during Australia’s 2019 megafires
Squire, D. T. et al · 2021
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Kernel analog forecasting: Multiscale test problems
Burov, D., Giannakis, D., Manohar, K. & Stuart, A · 2021
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TCTN: A 3D-temporal convolutional transformer network for spatiotemporal predictive learning
Yang, Z., Yang, X. & Lin, Q · 2021
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Skilful precipitation nowcasting using deep generative models of radar
Ravuri, S. et al · 2021
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Predrnn: A recurrent neural network for spatiotemporal predictive learning
Wang, Y. et al · 2022
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Forecasting global weather with graph neural networks
Keisler, R · 2022
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Graphcast: Learning skillful medium-range global weather forecasting
Lam, R. et al · 2022
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Continuous spatiotemporal transformers
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