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For preparations and running the FLEXPART simulation needed for this tutorial click here ...

Note

To start this tutorial please enter folder 'fwd'.

Info

To plot a particular parameter and level we need to filter the desired fields from the resulting FLEXPART output GRIB file. Unfortunately, Metview's Grib Filter icon cannot handle these files (partly due to the local GRIB definition they use) so we need to use other means to cope with this task. For this reason and also to make FLEXPART output handling easier a set of Metview Macro Library Functions were developed. We will use these functions in the example below.forward'.

Inspecting the FLEXPART GRIB file

Before seeing the macro code to generate the plot we inspect the file itself we want to plot. Double-click on the 'flux_s001.grib'  GRIB icon' in folder 'result_fwfwd' to start up the Grib Examiner. We can see that our GRIB file contains various flux fields. We can find out further details about the parameters by setting the Dump mode to Namespace and Namespace to Parameter in the examiner:

Generating the plot

The macro to visualise the flux fields on a given level is 'plot_flux.mv'.

In the macro first we define the level (8000 m) and the parameter ("feflux" = eastward flux) we want to plot. Then we call the Macro Library Function mvl_flexpart_read_hlfilter() to extract the data.

Code Block
languagepy
dIn="result_fwd/"
inFile=dIn  & "conc_s001.grib"
lev=8000
par="feflux"
 
#Read fields on the given height level
g=mvl_flexpart_read_hl(inFile,par,lev,-1,1filter(source: inFile,
                  param: par,
                  levType: "hl", 
                  level: lev)

Next, we define the contouring

...

. The

...

"feflux" fields have the units of "kg m**-2 s**-1

...

" but with the current value range "ng m**-2 s**-1

...

" units would better fit for contouring. To achieve this we simply multiply the "feflux" fieldset with 1012:

Code Block
languagepy
g=g*1E12

The contour definition itself goes like this:

Code Block
languagepy
titleDefine contouring
collapsetrue
#The contour levels
cont_list=[1,10,50,100,150,200,250,500,750,1000,2000,4000]
 
#Define contour shading
flux_shade = mcont(
    legend  						:   "on",
    contour 						:   "off",  
    contour_level_selection_type	:   "level_list",
    contour_level_list  			: 	cont_list,
    contour_label   				:   "off",
    contour_shade   				:   "on",
    contour_shade_method    		:   "area_fill",
    contour_shade_max_level_colour  :   "red",
    contour_shade_min_level_colour  :   "RGB(0.14,0.37,0.86)",
    contour_shade_colour_direction  :   "clockwise",    
    contour_method					: 	"linear"
    )

Next, we build the title with mvlflexpart_flexpartbuild_title(). Please note that we need to explicitly specify the plotting units!

Code Block
languagepy
title=mvlflexpart_flexpartbuild_title(data: g,
    fontsize: 0.3, 
    units: "ng m**-2 s**-1")  

Anchor
map_view
map_view

Finally we define the map view with the map:

Code Block
languagepy
titleDefining the map view
collapsetrue
#Define coastlines
coast_grey = mcoast(
	map_coastline_thickness			:	2,
	map_coastline_land_shade		:	"on",
	map_coastline_land_shade_colour	:	"grey",
	map_coastline_sea_shade			:	"on",
	map_coastline_sea_shade_colour	:	"RGB(0.89,0.89,0.89)",
	map_boundaries					:	"on",
	map_boundaries_colour			:	"black",
	map_grid_latitude_increment		:	5,
	map_grid_longitude_increment	:	5
	)

#Define geo view
view = geoview(
	map_area_definition	:	"corners",
	area				:	[40,-25,66,9],
	coastlines			: coast_grey
	)

...