Fig. 1

A schematic view of the CLM5 benchmark hydrological datasets. In step 2, about 1,300 ensemble parameter sets are generated using a Latin Hypercube Sampling method to produce about 1,300 ensemble time series and error metrics. The same ensemble parameters and error metrics are used in step 3 to generate at-site and regional parameter sensitivity scores as well as behavioral sensitive parameters.