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Implementation of GR hydrological models in 95 near-natural catchments across Chile

<p>All the files included here contain the data and calibration results produced for the paper &quot;Exploring parameter (dis)agreement due to calibration metric selection in conceptual rainfall-runoff models&quot; accepted for publication in Hydrological Sciences Journal (HSJ). This database summarizes the calibrated parameter sets for the GR4J, GR5J and GR6J conceptual rainfall-runoff models, all coupled to the CemaNeige snow module (i.e., GRXJ + CemaNeige = GRXJCN), using 12 objective functions. The models are configured for 95 near-natural&nbsp;catchments located in Continental Chile. Each basin is identified by a unique code registered in the National Water Bank (BNA by its acronym in Spanish) by the Chilean Water Bureau (DGA; https://dga.mop.gob.cl/). Meteorological forcings and hypsometric curves for each basin studied are also included.</p> <p>The information is organized as follows:</p> <p>- &quot;01 Forcings&quot; &nbsp; : It includes a &quot;Comma-separated value&quot; file (&quot;.csv&quot;) per basin (according to the notation &quot;BNA code.csv&quot;) which contains daily time series of precipitation (P; mm/d), temperature (&deg;C) and potential evapotranspiration (E; mm/d) for the period 1980-01-01 to 2017-12-31. The daily runoff observations (Q; mm/d) and snow water equivalent (SWE; mm) from Cort&eacute;s et al. (2017) are included. P and T are estimated from the basin-scale average of the CR2Met v2.0 gridded product, while E was calculated using Oudin&#39;s formula.<br> - &quot;02 Hypsometry&quot; : It includes a &quot;Comma-separated value&quot; file (&quot;.csv&quot;) per basin with elevation (in m a.s.l.) vs. area below elevation (in percentage) in the format required by GR models (&quot;BNA code.csv&quot; notation), and the full hypsometric curve (&quot;BNA code_original.csv&quot; notation) retrieved from the SRTM DEM clipped to the basin of interest.<br> - &quot;03 Calibrated parameters&quot;: It includes one sub-directory per basin, containing a summary of the calibrated parameters for each combination of model structure (GR4JCN, GR5JCN and GR6JCN) and objective function.</p> <p>Additionally, we include the following &quot;Comma-separated value&quot; (i.e., &quot;.csv&quot;) files:</p> <p>- &quot;BNA_select.csv&quot;: list of case study basins (BNA code and name).<br> - &quot;Catchment_attributes_CAMELS-CL.csv&quot;: catchments attributes directly obtained from CAMELS-CL.<br> - &quot;Catchment_attributes.csv&quot;: catchments attributes used for this study. Note that this file contains re-calculated values for climatic attributes.&nbsp;</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

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

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

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