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Research

Professor Keith Beven

Professor Emeritus

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  1. 2024
  2. Published

    The importance of retention times in Natural Flood Management interventions

    Follett, E., Beven, K., Hankin, B., Mindham, D. & Chappell, N., 18/04/2024, In: Proceedings of the International Association of Hydrological Sciences. 385, p. 197-201 5 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Published

    UPH Problem 20 – reducing uncertainty in model prediction: a model invalidation approach based on a Turing-like test

    Beven, K., Page, T., Smith, P., Kretzschmar, A., Hankin, B. & Chappell, N., 18/04/2024, In: Proceedings of the International Association of Hydrological Sciences. 385, p. 129-134 6 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Published

    A brief history of information and disinformation in hydrological data and the impact on the evaluation of hydrological models

    Beven, K., 10/04/2024, In: Hydrological Sciences Journal. 69, 5, p. 519-527 9 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. 2023
  6. Published

    Technical note: The CREDIBLE Uncertainty Estimation (CURE) toolbox: facilitating the communication of epistemic uncertainty

    Page, T., Smith, P., Beven, K., Pianosi, F., Sarrazin, F., Almeida, S., Holcombe, L., Freer, J., Chappell, N. & Wagener, T., 11/07/2023, In: Hydrology and Earth System Sciences. 27, 13, p. 2523-2534 12 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Published

    Benchmarking Hydrological Models for an Uncertain Future

    Beven, K., 31/05/2023, In: Hydrological Processes. 37, 5, e14882.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Published

    Time‐variability of flow recession dynamics: Application of machine learning and learning from the machine

    Kim, M., Bauser, H. H., Beven, K. & Troch, P. A., 19/05/2023, In: Water Resources Research. 59, 5, e2022WR032690.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Published

    Rainfall-streamflow response times for diverse upland UK micro-basins: quantifying hydrographs to identify the nonlinearity of storm response

    Mindham, D., Beven, K. & Chappell, N., 1/02/2023, In: Hydrology Research. 54, 2, p. 233-244 12 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  10. 2022
  11. Published

    Deciding on fitness‐for‐purpose ‐ of models and of natural flood management

    Beven, K., Page, T., Hankin, B., Smith, P., Kretzschmar, A., Mindham, D. & Chappell, N., 30/11/2022, In: Hydrological Processes. 36, 11, 40 p., e14752.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  12. Published

    Interpolation of rainfall observations during extreme rainfall events in complex mountainous terrain

    Page, T., Beven, K., Hankin, B. & Chappell, N., 30/11/2022, In: Hydrological Processes. 36, 11, 21 p., e14758.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  13. Published

    On (in)validating environmental models. 1. Principles for formulating a Turing‐like Test for determining when a model is fit‐for purpose

    Beven, K. & Lane, S., 31/10/2022, In: Hydrological Processes. 36, 10, 12 p., e14704.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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