Input projects for HBV-Light (Seibert and Vis 2012) for the 671 GB catchments in the CAMELS-GB dataset (Coxon et al 2020). For each catchment, the dataset has been split into calibration and validation time periods on a 50:50 basis.
In the src folder, there is the python script that was used for the processing.
Reaney S. M. 2022: CAMELS-2-HBV-Light: A set of 671 catchments for HBV-Light based on the CAMELS-GB dataset. https://github.com/simreaney/CAMELS-GB-2-HBV-Light
Coxon, G., Addor, N., Bloomfield, J. P., Freer, J., Fry, M., Hannaford, J., Howden, N. J. K., Lane, R., Lewis, M., Robinson, E. L., Wagener, T., and Woods, R.: CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain, Earth Syst. Sci. Data, 12, 2459–2483, https://doi.org/10.5194/essd-12-2459-2020, 2020.
Seibert, J. and Vis, M. J. P.: Teaching hydrological modeling with a user-friendly catchment-runoff-model software package, Hydrol. Earth Syst. Sci., 16, 3315–3325, https://doi.org/10.5194/hess-16-3315-2012, 2012.