Series-Analysis Tool: Output
The output of Series-Analysis is one NetCDF file containing the requested output statistics for each grid location on the same grid as the input files.
You may view the output NetCDF file that Series-Analysis wrote using the ncdump utility. Run the following command to view the header of the NetCDF output file:
In the NetCDF header, we see that the file contains many arrays of data. For each threshold (>0.0 and >=5.0), there are values for the requested statistics: F_RATE, O_RATE, FY_OY, FN_ON, CSI, and GSS. The file also contains the requested RMSE and TOTAL number of matched pairs for each grid location over the 24-hour period.
Next, run the ncview utility to display the contents of the NetCDF output file:
Click through the different variables to see how the performance varies over the domain. Looking at the series_cnt_RMSEvariable, are the errors larger in the south eastern or north western regions of the United States?
Why does the extent of missing data increase for CSI for the higher threshold? Compare series_cts_CSI_gt0.0 to series_cts_CSI_ge5.0. (Hint: Find the definition of Critical Success index (CSI) in the MET User's Guide and look closely at the denominator.)
Try running Plot-Data-Plane to visualize the observation rate variable for non-zero precipitation (i.e. series_fho_O_RATE_gt0.0). Since the valid range of values for this data is 0 to 1, use that to set the -plot_range option.
Setting block_size to 10000 still required 3 passes through our 185x129 grid (= 23865 grid points). What happens when you increase block_size to 24000 and re-run? Does it run slower or faster?
