Lane_et_al_Benchmark_FUSE_GB

Dataset

Description

We evaluated 4 hydrological model structures and their parameters on over 1000 catchments across Great Britain, considering modelling uncertainties. This research provides a benchmark of national modelling capability as well as a library of the best performing parameter sets for the FUSE models. Here, we provide the data that may be most useful for future studies - a list of the best model parameters for each catchment, summaries of model scores for each catchment, and time-series of model output for each catchment from the 4 different model structures.
Date made available2 Jul 2019
PublisherUniversity of Bristol

Keywords

  • hydrology
  • FUSE
  • national-hydrology
  • model-evaluation
  • benchmark
  • hydrological model
  • large-sample

Research Output

  • 1 Article (Academic Journal)

Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain

Lane, R., Coxon, G., Freer, J., Wagener, T., Johnes, P., Bloomfield, J., Greene, S., Macleod, C. & Reaney, S., 30 Sep 2019, In : Hydrology and Earth System Sciences. 23, p. 4011–4032 22 p.

Research output: Contribution to journalArticle (Academic Journal)

Open Access
File
  • 4 Citations (Scopus)
    149 Downloads (Pure)

    Cite this

    Freer, J. (Creator), Coxon, G. (Creator), Lane, R. (Creator), Wagener, T. (Contributor) (2 Jul 2019). Lane_et_al_Benchmark_FUSE_GB. University of Bristol. 10.5523/bris.3ma509dlakcf720aw8x82aq4tm