ENS Windgust Probablity Example

#Metview Macro

#  **************************** LICENSE START ***********************************
# 
#  Copyright 2019 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)

# create mask (with 0s and 1s) for windgust > 22 m/s
wg_mask = wg > 22

# compute probability
prob = mean(wg_mask) * 100

# define contour shading
cont = mcont(
    legend                      : "on",
    contour_line_colour         : "charcoal",
    contour_highlight           : "off",
    contour_min_level           : 1,
    contour_level_count         : 6,
    contour_shade               : "on",
    contour_shade_colour_method : "palette",
    contour_shade_method        : "area_fill",
    contour_shade_palette_name  : "eccharts_purple_magenta_6"
    )

# define coastline
coast = mcoast(
    map_coastline_land_shade        : "on",
    map_coastline_land_shade_colour : "RGB(0.6328,0.6299,0.6299)",
    map_coastline_sea_shade         : "on",
    map_coastline_sea_shade_colour  : "RGB(0.8196,0.8196,0.8196)",
    map_grid_colour                 : "charcoal",
    map_grid_longitude_increment    : 10
    )

# define map view
view = geoview(
    map_area_definition : "corners",
    area                : [40,-20,60,10],
    coastlines: coast
    )

# define title    
title = mtext(text_lines: ["Wind gust probability > 22 m/s"], text_font_size: 0.5) 

# define the output plot file
setoutput(pdf_output(output_name : 'ens_prob'))   
    
# generate plot    
plot(view, prob, cont, title)
 

import metview as mv

#  **************************** LICENSE START ***********************************
# 
#  Copyright 2019 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)

# create mask (with 0s and 1s) for windgust > 22 m/s
wg_mask = wg > 22

# compute probability
prob = mv.mean(wg_mask) * 100

# define contour shading
cont = mv.mcont(
    legend                      = "on",
    contour_line_colour         = "charcoal",
    contour_highlight           = "off",
    contour_min_level           = 1,
    contour_level_count         = 6,
    contour_shade               = "on",
    contour_shade_colour_method = "palette",
    contour_shade_method        = "area_fill",
    contour_shade_palette_name  = "eccharts_purple_magenta_6"
    )

# define coastline
coast = mv.mcoast(
    map_coastline_land_shade        = "on",
    map_coastline_land_shade_colour = "RGB(0.6328,0.6299,0.6299)",
    map_coastline_sea_shade         = "on",
    map_coastline_sea_shade_colour  = "RGB(0.8196,0.8196,0.8196)",
    map_grid_colour                 = "charcoal",
    map_grid_longitude_increment    = 10
    )

# define map view
view = mv.geoview(
    map_area_definition = "corners",
    area                = [40,-20,60,10],
    coastlines = coast
    )

# define title    
title = mv.mtext(text_lines = ["Wind gust probability > 22 m/s"], text_font_size = 0.5) 

# define the output plot file
mv.setoutput(mv.pdf_output(output_name = 'ens_prob'))   
    
# generate plot    
mv.plot(view, prob, cont, title)