SUMMA/mizuRoute model configurations, parameters, and ensemble statistics for representative cryosphere basins
DOI10.5281/zenodo.7545956Zenodo7545956MaRDI QIDQ6692045
Dataset published at Zenodo repository.
Hylke Beck, Simon Michael Papalexiou, Andrew Wood, Andrew Newman, Louise Arnal, Hongli Liu, Shervan Gharari, Martyn Clark, Wouter Knoben, Guoqiang Tang
Publication date: 3 February 2023
Copyright license: Creative Commons Attribution 4.0 International
Meteorological forcing is a major source of uncertainty in hydrological modeling. The recent development of probabilistic large-domain meteorological datasets enables convenient uncertainty characterization, which however is rarely explored in large-domain research.Tang et al. (2023)analyzehow uncertainties in meteorological forcing data affect hydrological modeling in 289 representative cryosphere basins by forcing the Structure for Unifying Multiple Modeling Alternatives (SUMMA) and mizuRoute models with precipitation and air temperature ensembles from the Ensemble Meteorological Dataset for Planet Earth (EM-Earth).EM-Earth probabilistic estimates are used in ensemble simulation for uncertainty analysis. The results reveal the magnitude, spatial distribution, and scale effect of uncertainties in meteorological, snow, runoff, soil water, and energy variables.
This page was built for dataset: SUMMA/mizuRoute model configurations, parameters, and ensemble statistics for representative cryosphere basins
