=begin
=demo_NCEP_3.rb
a demo program for drawing EP-Flux vector and Residual mean circulation.
USAGE
% ruby demo_NCEP_3.rb
Note
This program requires testdata. The URL is written in demo_NCEP_1.rb
=end
require 'numru/gphys'
require 'numru/gphys/ep_flux'
require 'numru/ggraph_on_merdional_section'
include NumRu
epflx_fnm = './epflx_NCEP.nc'
if File::exist?(epflx_fnm)
epflx_y = GPhys::IO.open(epflx_fnm, 'epflx_y')
epflx_z = GPhys::IO.open(epflx_fnm, 'epflx_z')
epflx_div = GPhys::IO.open(epflx_fnm, 'epflx_div')
v_rmean = GPhys::IO.open(epflx_fnm, 'v_rmean')
w_rmean = GPhys::IO.open(epflx_fnm, 'w_rmean')
strm_rmean = GPhys::IO.open(epflx_fnm, 'strm_rmean')
else
datadir = "./testdata/"
gp_u = GPhys::IO.open( datadir+"UWND_NCEP.nc", "uwnd")
gp_v = GPhys::IO.open( datadir+"VWND_NCEP.nc", "vwnd")
gp_omega = GPhys::IO.open( datadir+"OMEGA_NCEP.nc", "omega")
gp_t = GPhys::IO.open( datadir+"TEMP_NCEP.nc", "temp")
epflx_y, epflx_z, v_rmean, w_rmean= ary =
GPhys::EP_Flux::ep_full_sphere(gp_u, gp_v, gp_omega, gp_t, true)
ary.each{|gp| # This part will not
gp.data.att_names.each{|nm| # be needed in future.
gp.data.del_att(nm) if /^valid_/ =~ nm # (Even now, it is not
} # needed if the valid
} # range is wide enough)
epflx_div = GPhys::EP_Flux::div_sphere(epflx_y, epflx_z)
strm_rmean = GPhys::EP_Flux::strm_rmean(v_rmean)
end
DCL.gropn(1)
DCL::sglset('LFULL', true) # use full area
DCL::slrat(1.0, 0.85) # set aspect ratio of drwable area
DCL.sgpset('lcntl', false) # don't rede control character.
DCL.sgpset('lfprop',true) # use prportional font
DCL.uzfact(0.6) # set character size
## show vector (Fy, Fz)
fy = epflx_y.mean('time')
fz = epflx_z.mean('time')
epdiv = epflx_div.mean('time')
GGraph::set_fig('view'=>[0.15, 0.85, 0.25, 0.55])
GGraph::set_fig('itr'=>2) # contour && tone only
GGraph::tone(epdiv) # tone
GGraph::contour(epdiv,false) # contour
xfact, yfact = GGraph::vector_on_merdional_section(fy, fz, false,
'fact'=>3.0,'xintv'=>1,'unit'=>true, 'annot'=>false
)
## show residual mean merdional circulation (cut nearly surface and Antarctica)
vrm = v_rmean.cut('lat'=>-70..90, 'level'=>850..100).mean('time')
wrm = w_rmean.cut('lat'=>-70..90, 'level'=>850..100).mean('time')
strm = strm_rmean.cut('lat'=>-70..90, 'level'=>850..100).mean('time')
GGraph::contour(strm, true, 'nlev'=>25)
GGraph::vector_on_merdional_section(vrm, wrm, false,
'fact'=>2.0,'xintv'=>1,'unit'=>true, 'annot'=>false
)
DCL.grcls
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