ENS Stamp Map Example

#Metview Macro

#  **************************** LICENSE START ***********************************
# 
#  Copyright 2020 ECMWF. This software is distributed under the terms
#  of the Apache License version 2.0. In applying this license, ECMWF does not
#  waive the privileges and immunities granted to it by virtue of its status as
#  an Intergovernmental Organization or submit itself to any jurisdiction.
# 
#  ***************************** LICENSE END ************************************
# 

# read ENS forecast
g = read("wgust_ens.grib")

# filter out a timestep
wg = read(data:g, step:78)

# define contour shading
wgust_shade = mcont(
    legend                       : "off",
    contour_line_colour          : "navy",
    contour_highlight            : "off",
    contour_level_selection_type : "level_list",
    contour_level_list           : [10,15,20,25,30,35,50],
    contour_label                : "off",
    contour_shade                : "on",
    contour_shade_colour_method  : "list",
    contour_shade_method         : "area_fill",
    contour_shade_colour_list    : ["sky","greenish_blue","avocado",
                                    "orange","orangish_red","violet"]
    )

# define coastline
coast = mcoast(
    map_coastline_land_shade        : "on",
    map_coastline_land_shade_colour : "grey",
    map_coastline_sea_shade         : "on",
    map_coastline_sea_shade_colour  : "RGB(0.8944,0.9086,0.933)",
    map_coastline_thickness         :  2,
    map_boundaries                  : "on",
    map_boundaries_colour           : "charcoal",
    map_label                       : "off",
    map_grid_colour                 : "RGB(0.6, 0.6, 0.6)", 
    map_grid_longitude_increment    : 10
    )

# define map view
view = geoview(
    map_area_definition : "corners",
    area                : [40,-20,60,10],
    coastlines : coast
    )
    
# define layout
dw = plot_superpage(pages: mvl_regular_layout(view,8,7,1,1,[5,100,0,100]))

# define the output plot file
setoutput(pdf_output(output_name : 'ens_stamp'))   
    
# generate plot    
pl_lst = nil

# perturbed forecasts  
for i=1 to 50 do
    f = read(data:wg, type:"pf", number:i)
    title = mtext(text_lines: ["PF:" & string(i)], text_font_size: 0.4)
    pl_lst = pl_lst & [dw[i], f, wgust_shade, title]
end for

# control forecast
f = read(data:wg, type:"cf")
title = mtext(text_lines: ["CF"], text_font_size: 0.4)
pl_lst = pl_lst & [dw[51], f, wgust_shade, title]    
    
plot(pl_lst)    
 

import metview as mv

#  **************************** LICENSE START ***********************************
# 
#  Copyright 2020 ECMWF. This software is distributed under the terms
#  of the Apache License version 2.0. In applying this license, ECMWF does not
#  waive the privileges and immunities granted to it by virtue of its status as
#  an Intergovernmental Organization or submit itself to any jurisdiction.
# 
#  ***************************** LICENSE END ************************************
# 

# read ENS forecast
g = mv.read("wgust_ens.grib")

# filter out a timestep
wg = mv.read(data=g, step=78)

# define contour shading
wgust_shade = mv.mcont(
    legend                       = "off",
    contour_line_colour          = "navy",
    contour_highlight            = "off",
    contour_level_selection_type = "level_list",
    contour_level_list           = [10,15,20,25,30,35,50],
    contour_label                = "off",
    contour_shade                = "on",
    contour_shade_colour_method  = "list",
    contour_shade_method         = "area_fill",
    contour_shade_colour_list    = ["sky","greenish_blue","avocado",
                                    "orange","orangish_red","violet"]
    )

# define coastline
coast = mv.mcoast(
    map_coastline_land_shade        = "on",
    map_coastline_land_shade_colour = "grey",
    map_coastline_sea_shade         = "on",
    map_coastline_sea_shade_colour  = "RGB(0.8944,0.9086,0.933)",
    map_coastline_thickness         =  2,
    map_boundaries                  = "on",
    map_boundaries_colour           = "charcoal",
    map_label                       = "off",
    map_grid_colour                 = "RGB(0.6, 0.6, 0.6)", 
    map_grid_longitude_increment    = 10
    )

# define map view
view = mv.geoview(
    map_area_definition = "corners",
    area                = [40,-20,60,10],
    coastlines = coast
    )
    
# define layout
dw = mv.plot_superpage(pages = mv.mvl_regular_layout(view,8,7,1,1,[5,100,0,100]))

# define the output plot file
mv.setoutput(mv.pdf_output(output_name = 'ens_stamp'))   
    
# generate plot    
pl_lst = []

# perturbed forecasts  
for i in range(1, 51):
    f = mv.read(data=wg, type="pf", number=i)
    title = mv.mtext(text_lines=["PF=" + str(i)], text_font_size=0.4)
    pl_lst.append([dw[i-1], f, wgust_shade, title])

# control forecast
f = mv.read(data=wg, type="cf")
title = mv.mtext(text_lines=["CF"], text_font_size=0.4)
pl_lst.append([dw[50], f, wgust_shade, title])    
    
mv.plot(pl_lst)