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Directory structure

Macros_structure

Typical macro structure

Typical structure of the macros
#=========================================
# 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)

After the   Do not edit below this line!!!!!   line the macros should not be modified.

Study the analysis

Available macros in the Analysis folder are:

  • 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 have to drop it into a plot (e.g. an mslp plot) and it visualizes the track on top of the original 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)

Precipitation is available only in ERA5 data, but not in the operational analysis.

Study the operational high-resolution forecast (HRES)

Available macros in the HRES_forecast folder are:

  • 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 have to drop it into a plot (e.g. an mslp plot) and the macro visualizes the track on top of the original plot (track.csv is for track from the HRES forecast)

Study the user experiments

Available macros in the Experiments folder are:

  • exp_1x1.mv: plots the experiment results in 1 panel for 1 to 4 variables over a pre-defined area, additional 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, additional variables are physics tendencies (see the macro header for guide)
  • exp_profile.mv: plots vertical profile from the experiment results for physics tendencies over a user-defined area or point

3 macro work for physics tendencies: exp_1x1.mv, exp_xs.mv and exp_profile.mv.

Forecast verification

Available macros in the Forecast_errors folder are:

  • 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 differences 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

Physics tendencies cannot be verified with these macros.

Precipitation can be verified only against ERA5 data.

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