Next, run Ensemble-Stat on the command line using the following command:
6 $MET_TUTORIAL_DATA/input/sample_fcst/2009123112/*gep*/d01_2009123112_02400.grib \
$MET_TUTORIAL_DATA/config/EnsembleStatConfig_APCP_24 \
-grid_obs $MET_TUTORIAL_DATA/input/sample_obs/ST4/ST4.2010010112.24h \
-point_obs $MET_TUTORIAL_DATA/output/ascii2nc/precip24_2010010112.nc \
-outdir $MET_TUTORIAL_DATA/output/ensemble_stat -v 2
The command above uses the ASCII2NC output of that was generated by make test. Please ensure that it has been run.
Ensemble-Stat is now performing the tasks we requested in the configuration file. Note that we've passed the input ensemble data directly on the command line by specifying the number of ensemble members (six) followed by their names using wildcards. We've also specified one gridded StageIV analysis field (-grid_obs) and one file containing point rain gauge observations (-point_obs) to be used in computing rank histograms. This tool should run pretty quickly.
When Ensemble-Stat is finished, it will have created nine output files in the $MET_TUTORIAL_DATA/output/ensemble_statdirectory: seven ASCII statistics files (.stat, _ecnt.txt, _rhist.txt, _phist.txt, _orank.txt, _ssvar.txt , and _relp.txt ) , a NetCDF file with gridded fields of ensemble forecast values (_ens.nc), and a NetCDF file with gridded fields of observation ranks (_orank.nc) (if gridded observations provided).
