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 "Exploring parameter (dis)agreement due to calibration metric selection in conceptual rainfall-runoff models" 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 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>- "01 Forcings" : It includes a "Comma-separated value" file (".csv") per basin (according to the notation "BNA code.csv") which contains daily time series of precipitation (P; mm/d), temperature (°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 Cortés 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's formula.<br> - "02 Hypsometry" : It includes a "Comma-separated value" file (".csv") per basin with elevation (in m a.s.l.) vs. area below elevation (in percentage) in the format required by GR models ("BNA code.csv" notation), and the full hypsometric curve ("BNA code_original.csv" notation) retrieved from the SRTM DEM clipped to the basin of interest.<br> - "03 Calibrated parameters": 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 "Comma-separated value" (i.e., ".csv") files:</p> <p>- "BNA_select.csv": list of case study basins (BNA code and name).<br> - "Catchment_attributes_CAMELS-CL.csv": catchments attributes directly obtained from CAMELS-CL.<br> - "Catchment_attributes.csv": catchments attributes used for this study. Note that this file contains re-calculated values for climatic attributes. </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