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Capturing the Little Washita watershed water balance with a physically-based two-hydrologic-variable model

<p>Database corresponding to the research work submitted to Water Resources Research :<br> &quot;Capturing the Little Washita watershed water balance with a physically-based two-hydrologic-variable model&quot;<br> Fanny Picourlat (fanny.picourlat@lsce.ipsl.fr), Emmanuel Mouche, Claude Mugler</p> <p>&nbsp;</p> <p>&quot;Geomorphic_Analysis&quot; directory ------------------------------------------------------------------------------</p> <p>Little Washita geomophic analysis results. Analysis conducted on the 100 m resolution DEM (from USGS datadase, accessible at https://www.usgs.gov/core-science-systems/national-geospatial-program/small-scale-data) using a flow paths modeling algorithm developped by Maquin (2016).</p> <p>&nbsp;&nbsp; &nbsp;- Hillslopes_Length.csv : List of hillslopes lengths [m]<br> &nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;- Hillslopes_MeanSlopes.csv : List of hillslopes mean slopes [%]<br> &nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;<br> &quot;3DREF_model_19981999&quot; directory ------------------------------------------------------------------------------<br> Three-dimensional reference model files : exemple of the 1998-1999 water year simulation.</p> <p>&nbsp;&nbsp; &nbsp;- LWo.grok : Data file prepared for the pre-processor, which is then run to generate the input data files for HydroGeoSphere.</p> <p>&nbsp;&nbsp;&nbsp; - parameters_summary.pdf : parameters summary table.<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;- &quot;Outputs&quot; directory ---------------------------------------------<br> &nbsp;&nbsp; &nbsp;Output files that form paper&#39;s figures.<br> &nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- LWo.hydrograph.Hydrographe_USGS1_07327550.dat : Streamflow at USGS1<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- LWo.water_balance.dat : Water balance<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- LWo.pm.dat : Subsurface domain variables for all nodes for all output times. File used for plotting depth to water table.<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- LWo.olf.dat : Surface domain variables for all nodes for all output times. File used for plotting evapotranspiration at the closest node from the Ameriflux station.<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> &quot;Hillslope_Model&quot; directory -----------------------------------------------------------------------------------<br> Equivalent hillslope model files for the 20-year simulation.</p> <p>&nbsp;&nbsp; &nbsp;- LWo.grok : Data file prepared for the pre-processor, which is then run to generate the input data files for HydroGeoSphere.<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;- &quot;Outputs&quot; directory ----------------------------------------------<br> &nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- LWo.water_balance.dat : Water balance. File used for plotting hillslope discharge and evapotranspiration.<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- LWo.observation_well_flow.Well_1.dat : Outputs at nodes located at x=100m. File used for plotting depth to water table.<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- LWo.pm.dat : Subsurface domain variables for all nodes for all output times. File used to extract the &quot;post-processed&quot; files described below.</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- &quot;Post_processed&quot; directory -------------------------------<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp; Data extracted from the output file LWo.pm.dat.</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- TAB_xzy_sat.csv : Saturation for all nodes for all output times. Used for defining the seepage face extension Xs(t).<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- x(t).csv : x coordinate (for all output times) of the intersection point between roots ending limit and water table. Used for defining the water table slope tan(i(t)).</p> <p><br> &quot;Params&quot; directory --------------------------------------------------------------------------------------------<br> Parameters files for both 3DREF model (1998-1999 simulation) and hillslope model (20-year simulation).<br> &nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;- &quot;Topography&quot; directory --------------------------------------------<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- maillage_hgs_corr3_riv.2dm : Horizontal 3D mesh file<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- fichier_altitude_grok_corr3_riv_b.txt : 3D surface nodes elevation [m]<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;- &quot;Props&quot; directory -------------------------------------------------<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- LW.mprops : Subsurface material parameters<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- LW.oprops : Surface domain parameters<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- LW_LAI.etprops : Vegetation parameters<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;- &quot;Zones_vg&quot; directory ----------------------------------------------<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- zone_1_ele.txt : Bare soil 3D elements IDs<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- zone_2_ele.txt : Deciduous forest 3D elements IDs<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- zone_3_ele.txt : Evergreen forest 3D elements IDs<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- zone_4_ele.txt : Shrubs 3D elements IDs<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- zone_5_ele.txt : Grassland 3D elements IDs<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- zone_6_ele.txt : Pasture 3D elements IDs<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- zone_7_ele.txt : Crops 3D elements IDs<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;- &quot;Forcings&quot; directory ----------------------------------------------<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- NARR_day_9899.csv : Daily rainfall [m/s] on 1998-1999<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- NARR_day_etp_9899.csv : Daily Potential Evapotranspiration [m/s] on 1998-1999<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- NARR_day_9313.csv : Daily rainfall [m/s] on 1993-2013<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- NARR_day_etp_9313.csv : Daily Potential Evapotranspiration [m/s] on 1993-2013<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;- &quot;Output_times&quot; directory ------------------------------------------<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- output_times_365d.csv : Output times [s] for 365 days<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- output_times_20y.csv : Output times [s] for 20 years<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;- &quot;Rivers&quot; directory ------------------------------------------------<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- no_rivers_ele.txt : No river 3D elements IDs<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- rivers_ele.txt : River 3D elements IDs<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;- &quot;LAI&quot; directory ---------------------------------------------------<br> &nbsp;&nbsp; &nbsp;LAI files (1st column : time [s], 2nd column : LAI [-])<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- LAI_2_hydro.csv : Deciduous forest LAI over one water year<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- LAI_4_5_6_hydro.csv : Shrubs, grassland and pasture LAI over one water year<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- LAI_winterwheat_OAlaoui.csv : Crops LAI over one water year<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- LAI_eq_20y.csv : Equivalent LAI (for hillslope model) over 20 years<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> &quot;Analytical_Model&quot; directory -----------------------------------------------------------------------------------</p> <p>&nbsp;&nbsp; &nbsp;- Analytical_model.py : Analytical model code for the 20-year simulation of the equivalent hillslope water balance.</p> <p>&nbsp;</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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