Directory structure

Typical macro structure

#=========================================
# Plot analysis fields
#=========================================

#-------------------------------------------------------------------------
#Available parameters:
# mslp,t2,wind10,speed10,sst
# t,z,pt,eqpt,wind,speed,w[850,500,200]
# r[850,700,500,200]
# vo850, pv320K
# tp (only for ERA5)
#
#Adding ".flag" suffix to 'wind' results in wind barbs otherwise arrows are used
#Adding ".s" suffix to 'z' results in a shaded plot instead of contours
#-------------------------------------------------------------------------

#Define plot list (min 1 - max 4)
plot1=["t850","mslp"]

#Experiment ID
# an: operational analysis
# e5: ERA5 analysis
exp_id = "e5"

#Map type: 1=Atl, 2=Norway 
mapType=1

#!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
#-------------------------------------
# Do not edit below this line!!!!!
#-------------------------------------
#!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

...

plot_maps(exp_id,plots,-1,steps,mapType)

You can specify usually the following variables:

• meteorological variable to visualize (the available variables are always listed in the macro header)
• experiment ID
• plotting area: 2 pre-defined maps are available over a larger North-Atlantic area and over Norway
• forecast time steps (example for the format is given in the macros)
• cross-section line (example for the format is given in the macros)

Study the analysis

Available macros in the Analysis folder:

• an_1x1.mv: plots the analysis field in 1 panel for 1 to 4 variables over a pre-defined area, the analysis can be both the operational analysis and ERA5
• an_2x2.mv: plots the analysis field in 4 panels for several variables over a pre-defined area
• an_xs.mv: plots cross-section from the analysis for several variables over a user-defined line
• mv_track.mv:
  • a "drag-and-drop" macro, users has to drop it into a plot (e.g. an mslp plot) and it visualizes the track on top of the plot
  • users can change the filename from where the track data are taken (track.csv is for track from 'observations', track_op_an.csv is track from the operational analysis, track_ea_an.csv is track from ERA5 data)

Study the operational high-resolution forecast (HRES)

Available macros in the HRES_forecast folder:

• hres_1x1.mv: plots the HRES forecast in 1 panel for 1 to 4 variables over a pre-defined area
• hres_2x2.mv: plots the HRES forecast in 4 panels for several variables over a pre-defined area
• hres_xs.mv: plots cross-section from the HRES forecast for several variables over a user-defined line
• mv_track.mv: a "drag-and-drop" macro, users has to drop it into a plot (e.g. an mslp plot) and it visualizes the track on top of the plot (track.csv is for track from the HRES forecast)

Study the user experiments

Available macros in the Experiments folder:

• exp_1x1.mv: plots the experiment results in 1 panel for 1 to 4 variables over a pre-defined area, new variables are physics tendencies (see the macro header for guide)
• exp_2x2.mv: plots the experiment results in 4 panels for several variables over a pre-defined area
• exp_diff.mv: plots the difference between two forecast fields for a given variable over a pre-defined area
• exp_xs.mv: plots cross-section from the experiment results for several variables over a user-defined line, new variables are physics tendencies (see the macro header for guide)
• exp_profile.mv: plots vertical profile from the experiment results for several physics tendencies over a user-defined area or point

Forecast verification

Available macros in the Forecast_errors folder:

• exp_rmse.mv: plots the root mean square error (RMSE) curves of several experiments over a pre-defined area, analysis can be both the operational analysis and ERA5
• exp-an_diff.mv: plots the difference between a forecast field and the analysis for a given variable over a pre-defined area, analysis can be both the operational analysis and ERA5