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Research

Dr Stelian Curceac

Former Research Student

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  1. Published

    An evaluation of automated GPD threshold selection methods for hydrological extremes across different scales

    Curceac, S., Atkinson, P. M., Milne, A., Wu, L. & Harris, P., 1/06/2020, In: Journal of Hydrology. 585, 15 p., 124845.

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

  2. Published

    Adjusting for Conditional Bias in Process Model Simulations of Hydrological Extremes: An Experiment Using the North Wyke Farm Platform

    Curceac, S., Atkinson, P. M., Milne, A., Wu, L. & Harris, P., 9/10/2020, In: Frontiers in Artificial Intelligence. 3, 16 p., 565859.

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

  3. Published

    Elucidating the performance of hybrid models for predicting extreme water flow events through variography and wavelet analyses

    Curceac, S., Milne, A., Atkinson, P. M., Wu, L. & Harris, P., 31/07/2021, In: Journal of Hydrology. 598, 17 p., 126442.

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

  4. Published

    Investigation of probabilistic, deterministic and hybrid models for improved characterisation of hydrological extremes across varying temporal scales

    Curceac, S., 2022, Lancaster University. 264 p.

    Research output: Thesis › Doctoral Thesis

  5. Published

    A case study on the effects of data temporal resolution on the simulation of water flux extremes using a process-based model at the grassland field scale

    Wu, L., Curceac, S., Atkinson, P. M., Milne, A. & Harris, P., 30/09/2021, In: Agricultural Water Management. 255, 10 p., 107049.

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

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