Mean transit times simulations with the EcH2O-iso model
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Input, forcing and and output files, as well as running and plotting scripts used in the numerical experiments with the EcH<sub>2</sub>O-iso critical zone model described in Kuppel et al. manuscript "<strong>Catchment storage control on the transit times of ecohydrological fluxes</strong>" submitted for publication to Geophysical Research Letters. ------------------------------------------------------------------------------<br> <strong>Ensemble simulations</strong> NetCDF maps and time series used in the analysis can be found in the <em>Output_w30Yspin</em> directory. Time series covers the whole simulations (02/2013 - 08/2016 + 30-yr spinup) while maps are output<br> The ensemble simulations are launch by executing the jobRuns shellscript. It calls the Multitool_* python scripts , which uses (see also options in the header of Multitool_Main.py):<br> - a global definition file located in the root directory, here <em>defRuns_w30Yspin.py</em><br> - a EcH2O-iso executable; here the <em>ech2o_iso </em>file has been compiled for a linux environment. The source code of EcH<sub>2</sub>O-iso is available here (branch master_2.0 used in this study), and the associated documentation here.<br> - <em>Input_Configs</em> contains template configurations files for EcH2O-iso: one for general simulations (<em>config_w30Yspin.ini</em>), one for options regarding the "tracking" (i.e. water isotopes and ages) mode (<em>configTrck_w30Yspin.ini</em>)<br> - <em>Input_Forcings</em> contains the meteorological forcing files needed for simulations<br> - <em>Input_Params</em> contains the ensemble parameter file used for the simulations<br> - <em>Input_Maps_100m</em> contains the maps defining the simulated domain at the 100-m resolution used in the study, as well as the vegetation-specifics files, some of which are modified using the values contained in the ensemble parameter file. --------------------------------------------------------------------------<br> <strong>Plots</strong> The R plotting scripts found in the <em>Plotting_scripts </em>directory generate the basic plots used in the submitted manuscript (see examples in <em>Plots </em>directory), with some post-editing using a vector graphics editor.



