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

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! 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

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1. Folder "synthetic_scenarios":

    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 "obs":

    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