Plotting the outputs of the SAMIR model
The output data is contained in a single netCDF4
file. By default, it contains 6 output variables (Evaporation, Transpiration, simulated Irrigation, Deep Percolation, Soil Water Content of the Evaporative layer and Root layer) along 3 dimensions (two spatial dimensions and a time dimension). The pixel values are stored as int16
integers to save disk space, a scaling factor dictionnary is stored in the attributes of the output netCDF file.
This file can easily be opened with a GIS software like QGIS. Notebooks and python scripts are provided for statistical analysis of the output variables. The notebooks
allow you to plot cumulated and averaged statsistics (maps) over the study area, calculate statsistics for each land cover class and extract daily values for a coordinate of the study area. The python scripts allow you to plot animated maps for a given variable.
In the next sections you will find more detail on the output data visualization.