Research data for 'Guidance on large scale hydrologic model calibration with isotope tracers'

Research data and code for "Guidance on large scale hydrologic model calibration with isotope tracers", Holmes, T., Stadnyk, T., Asadzadeh, M., and Gibson, J.J. (2023).
MC:
• Data:
o Random parameter values (rand_par_set.mat)
o Calculated performance metric values (Qstats_allMC.mat and ISOstats_allMC.mat)
 Unprocessed time-series stored but are approximately 100GB for MC alone
• Scripts/code:
o Generate parameters (MC_atha.m)
o Data extract from raw output (MC_datareader_VM.m)
o Calculate performance, used on extracted time-series
 Script loading t-series files and calling perf function (QstatsCalc_script.m IsostatsCalc_script.m)
 Performance stats calculating functions (QstatsCalc.m, ISOstatsCalcv2.m)
o Identifiability (GLUE_script_v2.m, GLUE_script_ISO_v2.m)
 Normalize parameters (normalize_pars.m)
o Non-dominated filtering (surviving example for 3 flow objectives: nondom_script.m, DominanceFilter.m written by Dr Asadzadeh)

VARS:
• Data:
o Sampled parameter values (200stars.xlsx)
o Calculated performance metric values (Qresp_all.mat, I2Hresp_all_new.mat, I18Oresp_all_new.mat, IsoSlopeStats_all_new.mat)
o VARS output (VARS HQ for cal.mat)
o IVARS50 results copied to excel (IVARS50 for HQ.xlsx)
• Scripts/code/input files:
o STAR sampling input (factorSpace.txt, VARS_inp.txt)
o Data extract from raw output (data_process_script.m, completed in stages)
o Calculate performance (QstatScript.m, I2HstatScript.m, I18OstatScript.m, SlopeRespScript.m, ISOrespFrameCalc.m, QstatsCalc.m, ISOrespCalc.m)
o Combine performance as response variable (calHQavg_script.m)

MOO:
• Data:
o Non-dominated solutions (Ost out, ND solutions in .xlsx by objective and output files for each trial; ISOstats and Qstats.m files contain performance stat results)
o Behavioral hydrographs and tracer (all time series files provided here, BIDpars/second objective/set internal ID number, spl contains flow data, iso_2H and iso_18O isotope time series, tracer contains virtual tracer results)
o Ensemble performance (ensembleStatsBIDv2.xlsx)
• Scripts/code/input files:
o OST input files (Init files, with all OSTRICH initial files)
o Data extract from raw output (MC_datareader_VM.m, MC_extract_script.m as sample)
o Calculate performance (Optimization version: statscript.R, final summary: NONDom_stat_script.m)
o Ensemble evaluations (BID_ensemble_statsv2.m)