# # File: # wmstnm02.py # # Synopsis: # Illustrates plotting station model data and wind barbs. # # Category: # Wind barbs/Station model data. # # Author: # Fred Clare # # Date of initial publication: # September, 2007 # # Description: # Draws a single frame with four plots on it illustrating # drawing windbarbs and station model data. # # Effects illustrated: # o Drawing station model data over a map. # o Drawing wind barbs over a map. # o How to panel four wind barb/station model data plots. # o How to draw a single country from a world map. # # Output: # A single visualization is produced that contains four plots: # o Wind barbs over a map. # o A table of wind barbs and related speeds. # o Station model data for some U.S. cities on a map. # o Wind barbs drawn over a map of France. # # Notes: # from __future__ import print_function import numpy import Ngl # # The procedure tricolour produces a French flag using the # official colors and aspect ratio. The lower left corner # of the flag is at coordinate (xll,yll) in NDC. # def tricolour(wks,xll,yll,height): # # Colors # blue_index = Ngl.new_color(wks, 0.00, 0.15, 0.50) white_index = Ngl.new_color(wks, 1.00, 1.00, 1.00) red_index = Ngl.new_color(wks, 1.00, 0.10, 0.14) width = 1.5*height xx = numpy.zeros(5,'f') yy = numpy.zeros(5,'f') # # Draw blue bar. # xx = [xll, xll + width/3., xll + width/3., xll, xll] yy = [yll, yll, yll+height, yll+height, yll] pres = Ngl.Resources() pres.gsFillColor = blue_index Ngl.polygon_ndc(wks,xx,yy,pres) # # Draw white bar. # xx = [xll+width/3., xll + 2.*width/3., xll + 2.*width/3., \ xll+width/3., xll+width/3.] pres.gsFillColor = white_index Ngl.polygon_ndc(wks,xx,yy,pres) # # Draw red bar. # xx = [xll+2.*width/3., xll + width, xll + width, \ xll+2.*width/3., xll+2.*width/3.] pres.gsFillColor = red_index Ngl.polygon_ndc(wks,xx,yy,pres) xx = [xll, xll + width, xll + width, xll, xll] # # Perimeter. # pres.gsLineColor = 1 Ngl.polyline_ndc(wks,xx,yy,pres) # # Show how to put four plots, illustrating wind barb procedures, # on a single frame. # wks_type = "png" wks = Ngl.open_wks(wks_type,"wmstnm02") cmap = numpy.array([[1.,1.,1.],[0.,0.,0.],[1.,0.,0.]]) # color map Ngl.define_colormap(wks,cmap) ############################# # # # Lower left quatrant. # # # ############################# # # Use the procedure wmbarb to produce a table of the association # of wind barb symbols with wind speeds. This plot simply uses # NDC coordinates - the three other plots show how to plot # wind barbs over maps and position those plots on the frame. # width = 0.42 height = 0.42 xl = 0.06 xr = xl + width yt = 0.46 yb = yt - height midx = 0.5*(xl+xr) # # Perimeter # Ngl.polyline_ndc(wks,[xl,xr,xr,xl,xl],[yb,yb,yt,yt,yb]) # # Title # txres = Ngl.Resources() txres.txFont = "Helvetica-Bold" txres.txFontHeightF = 0.042*height Ngl.text_ndc(wks,"Wind Speeds",midx,yt+1.3*txres.txFontHeightF,txres) # # Dividing lines. # hline_y = yt-0.08*height Ngl.polyline_ndc(wks,[xl,xr],[hline_y, hline_y],False) Ngl.polyline_ndc(wks,[midx,midx],[yb, yt],False) # # Row labels. # txres.txFont = "Helvetica" txres.txFontHeightF = 0.0315*height Ngl.text_ndc(wks,"Symbol Knots Miles/hr.", \ 0.5*(xl+midx),yt-0.04*height,txres) Ngl.text_ndc(wks,"Symbol Knots Miles/hr.", \ midx + 0.5*(xr-midx),yt-0.04*height,txres) # # Increase the size of the barbs. # Ngl.wmsetp("wbs", .035) # # Left column of table. # speeds_u = [ 0., -1.5, -4., -9., -14., -19., -24., -29., -34.] labels_k = ["Calm","1-2","3-7","8-12","13-17","18-22", \ "23-27","28-32","33-37"] labels_m = ["Calm","1-2","3-8","9-14","15-20","21-25", \ "26-31","32-37","38-43"] y_start = hline_y + 0.04*height for i in range (1,10): xp = xl+0.25*(midx-xl) yp = y_start - 0.042*i Ngl.wmbarb(wks, xp, yp, speeds_u[i-1], 0.) # Plot barbs. Ngl.text_ndc(wks,labels_k[i-1],xp+0.21*(midx-xl),yp,txres) Ngl.text_ndc(wks,labels_m[i-1],xp+0.55*(midx-xl),yp,txres) # # Right column of table. # speeds_u = [ -39., -44., -49., -54., -59., -64., -69., -74., -104.] labels_k = ["38-42","43-47","48-52","53-57","58-62", \ "63-67","68-72","73-77","103-107"] labels_m = ["44-49","50-54","55-60","61-66","67-71", \ "72-77","78-83","84-89","119-123"] y_start = hline_y+0.04*height for i in range(1,10): xp = midx+0.25*(xr-midx) yp = y_start - 0.042*i Ngl.wmbarb(wks, xp, yp, speeds_u[i-1], 0.) # Plot barbs. Ngl.text_ndc(wks,labels_k[i-1],xp+0.21*(midx-xl),yp,txres) Ngl.text_ndc(wks,labels_m[i-1],xp+0.55*(midx-xl),yp,txres) ############################# # # # Upper left quatrant. # # # ############################# # # Draw an orthographic map centered at lat/lon = (70.,-10.). # Don't advance the frame, since we want to add wind barbs. # mpres = Ngl.Resources() # # Define size of map in frame. # mpres.mpShapeMode = "FreeAspect" mpres.vpXF = 0.06 mpres.vpYF = 0.94 mpres.vpWidthF = 0.42 mpres.vpHeightF = 0.42 mpres.nglFrame = False gray_index = Ngl.new_color(wks,0.7,0.7,0.7) cyan_index = Ngl.new_color(wks,0.5,0.9,0.9) mpres.mpFillAreaSpecifiers = ["Water","Land"] mpres.mpSpecifiedFillColors = [cyan_index,gray_index] mpres.mpLimitMode = "LatLon" mpres.mpMinLonF = -40. mpres.mpMaxLonF = 20. mpres.mpMinLatF = 55. mpres.mpMaxLatF = 85. mpres.mpCenterLatF = 70. mpres.mpCenterLonF = -10. mpres.mpPerimOn = True mpres.mpProjection = "Orthographic" mpres.tiMainString = "Winds from the south" mpres.tiMainFont = "Helvetica-Bold" mpres.mpFillOn = True mpres.nglMaximize = False mpres.pmTickMarkDisplayMode = "NoCreate" map = Ngl.map(wks,res=mpres) # # Draw an array of vertical wind barbs over the above map. # Ngl.wmsetp("col", 2) # Draw in red. Ngl.wmsetp("wbs", .035) # Increase the size of the barb. # # For illustration use numpy arrays for storing the wind # barb information for the wmbarbmap call (could more easily # make individual calls in a loop in the case here). # lat = numpy.zeros([3,10],'f') lon = numpy.zeros([3,10],'f') u = 0.*numpy.ones([3,10],'f') v = 90.*numpy.ones([3,10],'f') lat[0,:] = 65. lat[1,:] = 70. lat[2,:] = 75. lonp = Ngl.fspan(-40.,5.,10) lon[0,:] = lonp lon[1,:] = lonp lon[2,:] = lonp Ngl.wmbarbmap(wks,lat,lon,u,v) ############################# # # # Upper right quadrant. # # # ############################# # # Plot some station model data for some cities in # Kansas and Oklahoma. # # Change location of map in frame. Size is the same as before. # mpres.vpXF = 0.53 mpres.vpYF = 0.94 mpres.mpLimitMode = "LatLon" mpres.mpMinLonF = -103.0 mpres.mpMaxLonF = -94.0 mpres.mpMinLatF = 32.5 mpres.mpMaxLatF = 41.5 mpres.mpCenterLatF = 35.0 mpres.mpCenterLonF = -97.0 mpres.mpPerimOn = True mpres.mpOutlineBoundarySets = "USStates" mpres.mpUSStateLineThicknessF = 1.25 mpres.tiMainString = "Kansas and Oklahoma stations" mpres.tiMainFont = "Helvetica-Bold" mpres.mpFillOn = False mpres.mpProjection = "Orthographic" map = Ngl.map(wks,res=mpres) # # Flag the station model procedure that the wind barbs are # being drawn over a map. # Ngl.wmsetp("ezf",1) # # Draw in the foreground color. # Ngl.wmsetp("col", 1) # # Plot station model data at selected cities. # cities = ["Kansas City" , "Tulsa" , "Oklahoma City", "Wichita", \ "Woodward, OK" , "Goodland, KS" , "Hays, KS"] city_lats = [ 39.10, 36.13, 35.48, 37.69, 36.43, 39.35, 38.88] city_lons = [-94.67, -95.94, -97.53, -97.34, -99.40, -101.71, -99.32] imdat = ["11721700181008020050300004983052026604007289086925", \ "11060032571033020380300004033056030610507808089258", \ "11854813511029020330300004025054016609507726087036", \ "11000022751126021360300004955054054600007757087712", \ "11515500121004020000300004975050034603017207084703", \ "11751718481027020310300004021053012609017685086925", \ "11206227031102021040300004963056046601517084081470"] Ngl.wmstnm(wks,city_lats,city_lons,imdat) ############################# # # # Lower right quatrant. # # # ############################# # # Draw some wind barbs at cities in France. Color the # country with the blue color from the Franch flag and # the wind barbs with the red color from the French flag. # # Change location of map in frame. Size is the same. # mpres.vpXF = 0.53 mpres.vpYF = 0.46 mpres.mpLimitMode = "LatLon" mpres.mpMinLonF = -4.25 mpres.mpMaxLonF = 8.25 mpres.mpMinLatF = 39.5 mpres.mpMaxLatF = 52.0 mpres.mpCenterLatF = 49. mpres.mpCenterLonF = 2. mpres.mpPerimOn = True mpres.mpFillOn = True mpres.mpOutlineBoundarySets = "NoBoundaries" mpres.mpDataBaseVersion = "MediumRes" mpres.tiMainString = "Winds Of France" mpres.tiMainFont = "Helvetica-Bold" mpres.mpAreaMaskingOn = True mpres.mpFillBoundarySets = "NoBoundaries" mpres.mpGridAndLimbOn = False mpres.mpAreaMaskingOn = 1 # # Mask countries bordering France. # mpres.mpMaskAreaSpecifiers = ["Water","Ocean","Scotland","Netherlands", \ "Belgium","Luxembourg","Italy","Corsica", \ "United Kingdom","Germany","Spain", \ "Switzerland"] mpres.mpFillAreaSpecifiers = ["Land"] blue_index = Ngl.new_color(wks,0.,0.15,0.5) red_index = Ngl.new_color(wks,1.0,0.10,0.14) mpres.mpSpecifiedFillColors = [blue_index] map = Ngl.map(wks,"Satellite",mpres) Ngl.wmsetp("wbs", .04) # Increase the size of the barb. Ngl.wmsetp("col", red_index) # Color in red. # # Plot wind barbs at various French cities. # # cities = ["Paris", "LeHavre", "Renne", "Tour", "Dijon", "Clarmont-Ferrand", \ "Bordeaux", "Toulouse", "Lyon", "Nice", "Nancy", "Limoges", \ "Nantes", "Lille", "Morlaix", "Reims", "La Rochelle", "Redon"] city_lats = [ 48.87, 49.50, 48.10, 47.30, 47.30, 45.76, \ 44.83, 43.60, 45.75, 43.70, 48.70, 45.83, \ 47.20, 50.60, 48.58, 49.30, 46.10, 47.67] city_lons = [ 2.33, 0.12, 1.67, 0.68, 5.03, 3.10, \ -0.57, 1.45, 4.85, 7.28, 6.15, 1.26, \ -1.55, 3.10, -3.83, 4.03, -1.0, -2.30] u_compnts = [ -10., -5., -30., -20., -15., -15., \ -20., -5., -10., -5., -20., -30., \ -15., -10., -10., -40., -30., -30.] v_compnts = [ 2., 0., 6., 4., 5., 13., \ 25., 10., 15., 20., 10., 40., \ 5., 1., 0., 8., 30., 0.] Ngl.wmbarbmap(wks, city_lats, city_lons, u_compnts, v_compnts) # # Add a French flag. # tricolour(wks, 0.84, 0.07, 0.05) Ngl.frame(wks) Ngl.end()