Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures - 7

This resource contains data corresponding to the study titled "Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures" A detailed description of the dataset is contained in a readme file contained in the resource. This is only a part of this resource, other parts are shared on zenodo with appropriate titles. This resource constains streamflows simulated by all the 1-million parameters sets for the station USGS-04180500 tried in the paper. Version-2 is up-to-date and contains the results discussed in the final vrsion of the manuscript: Gupta, A., Hantush, M. M., Govindaraju, R. S., & Beven, K. (2024). Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures. Journal of Hydrology, 131774. For further information on this resource, please contact [e-mail]