RESEARCHER PROFILE

Manuel Álvarez Chaves

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M

Stuttgart Center for Simulation Science

Hydrological Forecasting Using AIHydrology and Watershed Management StudiesEnvironmental Monitoring and Data ManagementUrban Stormwater Management SolutionsMeteorological Phenomena and Simulations

Manuel Álvarez Chaves works in Hydrological Forecasting Using AI, Hydrology and Watershed Management Studies, Environmental Monitoring and Data Management, Urban Stormwater Management Solutions, Meteorological Phenomena and Simulations. Recorded institutional associations include University of Stuttgart, University of Waterloo, Stuttgart Center for Simulation Science.

78Publications
87Citations
4H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. To bucket or not to bucket? Analyzing the performance and interpretability of hybrid hydrological models with dynamic parameterization

    2024 · 33 citations

  2. Analyzing the generalization capabilities of a hybrid hydrological model for extrapolation to extreme events

    2025 · 26 citations

  3. On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data

    2024 · 12 citations

  4. Technical note: An approach for handling multiple temporal frequencies with different input dimensions using a single LSTM cell

    2025 · 7 citations

  5. When physics gets in the way: an entropy-based evaluation of conceptual constraints in hybrid hydrological models

    2026 · 4 citations

  6. Analyzing the performance and interpretability of hybrid hydrological models

    2024 · 1 citations

  7. Evaluating physics-based representations of hydrological systems through hybrid models and information theory

    2024 · 1 citations

  8. An approach for handling multiple temporal frequencies with different input dimensions using a single LSTM cell

    2025 · 1 citations

  9. UNITE: A toolbox for unified diagnostic evaluation of physics-based, data-driven and hybrid models based on information theory

    2023 · 0 citations

  10. Comment on egusphere-2023-1980

    2023 · 0 citations

  11. Comment on egusphere-2024-2147

    2024 · 0 citations

  12. Comment on egusphere-2024-2147

    2024 · 0 citations

  13. Evaluating uncertainty in probabilistic deep learning models using Information Theory

    2025 · 0 citations

  14. Comment on egusphere-2025-1699

    2025 · 0 citations

  15. Reply on RC1

    2025 · 0 citations

  16. Reply on RC2

    2025 · 0 citations

  17. A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling

    2025 · 0 citations

  18. Evaluation and enhancement of data-driven hydrological models using information theory

    2025 · 0 citations

  19. When physics gets in the way : an entropy-based evaluation of conceptual constraints in hybrid hydrological models

    2026 · 0 citations

  20. Physics-constrained or physics-ignored? An entropy-based approach to diagnose if your hybrid model effectively skips conceptual constraints

    2026 · 0 citations

  21. Robust hourly flood forecasting using LSTM: Handling missing inputs and integrating discharge observations

    2026 · 0 citations

  22. Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling

    2025 · 0 citations

  23. A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling

    2026 · 0 citations

  24. Everything everywhere all at once: A single-cell LSTM network unifying multi-frequency, missing data, and discharge assimilation for robust operational flood forecasting

    2026 · 0 citations

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