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references.bib
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references.bib
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@string{mwr = "Mon. Wea. Rev."}
@string{qjrms = "Q. J. R. Meteorol. Soc."}
@string{jgr = "J. Geophys. Res."}
@string{npg = "Nonlin. Processes Geophys."}
@string{npgd = "Nonlin. Processes Geophys. Discuss."}
@string{ijep = "Int. J. Environ. Pollut."}
@string{ip = "Inverse Problems"}
@string{jmsj = "J. Meteor. Soc. Japan"}
@string{acp = "Atmos. Chem. Phys."}
@string{acpd = "Atmos. Chem. Phys. Discuss."}
@string{atmoenv = "Atmos. Env."}
@string{jcg = "J. Comp. Geosci."}
@string{jcp = "J. Comp. Phys."}
@string{grl = "Geophys. Res. Lett."}
@string{jas = "J. Atmos. Sci."}
@string{est = "Environ. Sci. Technol."}
@string{jer = "J. Environ. Radioactivity"}
@string{gmd = "Geosci. Model Dev."}
@string{gmdd = "Geosci. Model Dev. Discuss."}
@string{pnas = "PNAS"}
@string{siamjopt = "SIAM J. Optim."}
@string{siamjsc = "SIAM J. Sci. Comput."}
@string{siamjuq = "SIAM/ASA J. Uncertainty Quantification"}
@string{siamjmaa = "SIAM J. Matrix Anal. \& Appl"}
@string{prl = "Phys. Rev. Lett."}
@string{pre = "Phys. Rev. E"}
@string{prx = "Phys. Rev. X"}
@string{ep = "Environ. Pollution"}
@string{jnrs = "J. Nuclear Radiochemical Sci."}
@string{blm = "Boundary-Layer Meteor."}
@string{ta = "Tellus A"}
@string{tb = "Tellus B"}
@string{bams = "Bull. Amer. Meteor. Soc."}
@string{jcs = "J. Comput. Sci."}
@string{fods = "Foundations of Data Science"}
@article{reichstein2019,
author = "Reichstein, M and Camps-Valls, G. and Stevens, B. and Denzler, J. and Carvalhais, N and Prabhat",
title = "Deep learning and process understanding for data-driven {E}arth system science",
journal = "Nature",
volume = "566",
pages = "195--204",
year = "2019",
doi = "10.1038/s41586-019-0912-1"
}
@article{bocquet2019,
author = "Bocquet, M. and Brajard, J and Carrassi, A. and Bertino, L.",
title = "Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models",
journal = npg,
volume = "26",
pages = "143--162",
year = "2019",
doi = "10.5194/npg-26-143-2019"
}
@article{hsieh1998,
author = "Hsieh, W. W. and Tang, B.",
title = "Applying Neural Network Models to Prediction and Data Analysis in Meteorology and Oceanography",
journal = bams,
volume = "79",
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year = "1998",
doi = "10.1175/1520-0477(1998)079<1855:ANNMTP>2.0.CO;2"
}
@article{abarbanel2018,
author = "Abarbanel, H. D. I. and Rozdeba, P. J. and Shirman, S.",
title = "Machine Learning: Deepest Learning as Statistical Data Assimilation Problems",
journal = "Neural Computation",
volume = "30",
pages = "2025-2055",
year = "2018",
doi = "10.1162/neco\_a\_01094"
}
@article{hornik1989,
title = "Multilayer feedforward networks are universal approximators",
author = "Hornik, K. and Stinchcombe, M. and White, H.",
journal = "Neural Networks",
volume = "2",
pages = "359--366",
year = "1989",
doi = "10.1016/0893-6080(89)90020-8"
}
@article{cybenko1989,
title = "Approximation by superpositions of a sigmoidal function",
author = "Cybenko, G.",
journal = "Math. Control Signal Systems",
volume = "2",
pages = "303--314",
year = "1989",
doi = "10.1007/BF02551274"
}
@article{barron1993,
author = "Barron, A. R.",
journal = "IEEE Transactions on Information Theory",
title = "Universal approximation bounds for superpositions of a sigmoidal function",
year = "1993",
volume = "39",
pages = "930--945",
doi = "10.1109/18.256500"
}
@book{chollet2021,
title = "Deep Learning with Python",
author = "Chollet, F.",
year = "2021",
edition = "Second",
publisher = "Manning Publications Co.",
address = "Shelter Island"
}
@article{lorenz1963,
title = "Deterministic nonperiodic flow",
author = "Lorenz, E. N.",
journal = jas,
volume = "20",
pages = "130--141",
year = "1963",
doi = "10.1175/1520-0469(1963)020<0130:DNF>2.0.CO;2"
}