Reference List


Resources / Saturday, December 2nd, 2017

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De la Fuente, L.A., Ehsani, M.R., Gupta, H.V. & Condon, L.E. (2023). “Towards Interpretable LSTM-based Modelling of Hydrological Systems.” EGUsphere 2023, 1-29. https://doi.org/10.5194/egusphere-2023-666

De la Fuente, L.A., Gupta, H.V. & Condon, L.E. (2023). “Toward a Multi‐Representational Approach to Prediction and Understanding, in Support of Discovery in Hydrology.” Water Resources Research 59 (1), e2021WR031548. https://doi.org/10.1029/2021WR031548

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Ehret, U., Baste, S. & Dey, P. (2023). “Analyzing and classifying dynamical hydrological systems by uncertainty and complexity with the cu-curve method.” EGU23. https://doi.org/10.5194/egusphere-egu23-1464

Ehret, U., Pruijssen, R.V., Bortoli, M., Loritz, R., Azmi, E. & Zehe, E. (2020). “Adaptive clustering: A method to analyze dynamical similarity and to reduce redundancies in distributed (hydrological) modeling.” Hydrology and Earth System Sciences Discussions 2020, 1-33. https://doi.org/10.5194/hess-2020-65

Ehret, U., van Pruijssen, R., Bortoli, M., Loritz, R., Azmi, E. & Zehe, E. (2020). “Adaptive clustering: reducing the computational costs of distributed (hydrological) modelling by exploiting time-variable similarity among model elements.” Hydrology and Earth System Sciences 24 (9), 4389-4411. https://doi.org/10.5194/hess-24-4389-2020

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