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Otero, Noelia; Horton, Pascal (2023). Intercomparison of Deep Learning Architectures for the Prediction of Precipitation Fields With a Focus on Extremes. Water resources research, 59(11), pp. 1-18. American Geophysical Union 10.1029/2023WR035088
Otero, Noelia; Horton, Pascal; Martius, Olivia; Allen, Sam; Zappa, Massimiliano; Wechsler, Tobias; Schaefli, Bettina (2023). Impacts of hot-dry conditions on hydropower production in Switzerland. Environmental Research Letters, 18(6), 064038. IOP Publishing 10.1088/1748-9326/acd8d7
Horton, Pascal; Otero, Noelia (2023). Predicting spatial precipitation extremes with deep learning models. A comparison of existing model architectures. In: EGU General Assembly 2023. 10.5194/egusphere-egu23-7862
Otero, Noelia; Martius, Olivia; Allen, Sam; Bloomfield, Hannah; Schaefli, Bettina (2022). A copula-based assessment of renewable energy droughts across Europe. Renewable energy, 201, pp. 667-677. Elsevier 10.1016/j.renene.2022.10.091
Otero, Noelia; Martius, Olivia; Allen, Sam; Bloomfield, Hannah; Schaefli, Bettina (2022). Characterizing renewable energy compound events across Europe using a logistic regression‐based approach. Meteorological applications, 29(5) Wiley 10.1002/met.2089
Otero, Noelia; Martius, Olivia; Allen, Sam; Bloomfield, Hannah; Schaefli, Bettina (2022). Quantifing the influence of meteorological and large-scale atmopsheric drivers on energy compound events. In: EGU General Assembly 2022. 10.5194/egusphere-egu22-1837
Otero Felipe, Noelia; Horton, Pascal (2022). Deep-S2SWind: A data-driven approach for improving Sub-seasonal wind predictions (Unpublished). In: Tackling Climate Change with Machine Learning: workshop at NeurIPS 2022.
Otero, Noelia; Bloomfield, Hannah; Allen, Sam J.; Romppainen-Martius, Olivia; Schaefli, Bettina (15 December 2021). Modelling the dependence of energy droughts from variable renewable energies over Europe. In: AGU Fall meeting 2021. Proceedings. Online. 15 December 2021.
