Neural Network as Transformation Function in Data Assimilation
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63775-9_23
Reference15 articles.
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2. Cheng, S., et al.: Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. IEEE/CAA J. Automatica Sin. 10(6), 1361–1387 (2023)
3. Bannister, R.N.: A review of operational methods of variational and ensemble-variational data assimilation. Q. J. R. Meteorol. Soc. 143(703), 607–633 (2017)
4. Reichle, R.H., McLaughlin, D.B., Entekhabi, D.: Variational data assimilation of microwave radiobrightness observations for land surface hydrology applications. IEEE Trans. Geosci. Remote Sens. 39(8), 1708–1718 (2001)
5. Cheng, S., et al.: Error covariance tuning in variational data assimilation: application to an operating hydrological model. Stochast. Environ. Res. Risk Assess. 35(5), 1019–1038 (2021)
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