Data: Identification of dominant hydrological mechanisms using Bayesian inference, multiple statistical hypothesis testing and flexible models

!===== ! Purpose: These folders provide data from the study of Prieto et al 2021 ! Prieto, C., Kavetski, D., Le Vine, N., Álvarez, C., and Medina, R. (2021), ! Identification of dominant hydrological mechanisms using Bayesian inference, ! multiple statistical hypothesis testing and flexible models, ! Water Resources Research, doi: 10.1029/2020WR028338 !===== 1. Folder "<strong>synthetic_scenarios</strong>": a) folder "reliability_and_power__low_error_med_error_high_error" This folder contains txt files with the values of: (i) reliability (ii) power (iii) true positives (iv) false positives (v) false negatives for different significance levels, error levels and processes, and across all error levels Processes are abbreviated as follows: a1 = unsaturated zone a2 = saturated zone esoil = evaporation interf = interflow perc = percolation rr = surface runoff rout = routing e.g. file "alpha_r_p_tp_fp_fn_low_error_a1.txt" contains the following information for the lowest error, for the processes in the unsaturated zone. first column = significance level, alpha second column = reliability, r third column = power, p fourth column = number of true positives, tp (out of 50) fifth column = number of false positives, fp (out of 50) sixth column = number of false negatives, fn (out of 50) 2. Folder "<strong>obs</strong>": a) file "c8z1_data_obs.txt": dates and observed hydrological data for the Leizarán catchment b) file "leizaran_mecha_identification.xlsx": number of bootstraps where a mechanism is identified as dominant for the different time periods and significance levels