The river benchmarking is done in 2 ways. Using observations or data products:
Benchmarking vs data products has several advantages. Technically the advantage is that a single file per day contains data on All rivers (for Glofas at 3arcmin, 5.4km, and for EFAS at 1 arcmin, 1.8km). Scientifically it is feasible to estimate geographical representative average scores. The caveat is that the data products are assumed to be a reliable truth, therefore this verification should be complemented by the direct stations comparisons.
Here an example of time series plot evaluating the river discharge performance with different driving precipitation datasets used in ecLand-CaMa-Flood.
cd $PERM
mkdir benchmark_cmf_vs_glofas
cd benchmark_cmf_vs_glofas
cp /home/pad/Notebooks/benchmark_cmf_vs_glofas_long_period.sh .
cp /home/pad/Notebooks/benchmark_cmf_vs_glofas.py .
cp /home/pad/Notebooks/build_benchmark_html_index.py .
./benchmark_cmf_vs_glofas_long_period.sh
An html dashboard will be created in the designated directory (edit the benchmark_cmf_vs_glofas_long_period.sh script for any desired change)