data.u, data.v = oban.get_wind_comps(data.wind_speeds, data.wind_dirs) data.u_map, data.v_map = ps.orient_wind(data.u, data.v, data.lons) #Generate grid of x,y positions delta = 1.27 x0 = 22.86 y0 = -8.89 x = N.arange(22) * delta + x0 y = N.arange(28) * delta + y0 x_grid,y_grid = N.meshgrid(x,y) #Radius factor used in all of the analyses R = 4.32 #Perform analysis of height obs using uniform weighting function heights_uniform = oban.analyze_grid(data.heights, x_grid, y_grid, data.x,\ data.y, oban.uniform_weights, R) #Perform analysis of height obs using Cressman weights heights_cress = oban.analyze_grid(data.heights, x_grid, y_grid, data.x, data.y, oban.cressman_weights, R) #Generate adjusted height field using the (assumed) geostrophic wind on the map #to estimate height gradients map_factor = geos_factor / (ps.map_scale * data.sigma * cm_per_m) adj_height = oban.adjust_field(data.heights, map_factor * data.v_map, -map_factor * data.u_map, x_grid, y_grid, data.x, data.y) #Perform analysis of height obs using winds to estimate height gradients and #a uniform weighting function heights_uniforbm_ps = oban.analyze_grid(adj_height, x_grid, y_grid, data.x, data.y, oban.uniform_weights, R)
data.u, data.v = oban.get_wind_comps(data.wind_speeds, data.wind_dirs) data.u_map, data.v_map = ps.orient_wind(data.u, data.v, data.lons) #Generate grid of x,y positions delta = 1.27 x0 = 22.86 y0 = -8.89 x = N.arange(22) * delta + x0 y = N.arange(28) * delta + y0 x_grid,y_grid = N.meshgrid(x,y) #Mean station separation d = 2.30564 #Cressman first pass cress1 = oban.analyze_grid(data.heights, x_grid, y_grid, data.x, data.y, oban.cressman_weights, 4 * d) #Get observation increments for this pass cress1_incs = oban.get_ob_incs(data.x, data.y, data.heights, x, y, cress1, cressman_radius = 4 * d) cress1_rms = misc.rms(cress1_incs) print "Cressman 1st Pass rms: %f" % cress1_rms #Cressman 2nd pass cress2 = oban.analyze_grid(N.array(cress1_incs), x_grid, y_grid, data.x, data.y, oban.cressman_weights, 2.5 * d) + cress1 #Get observation increments for this pass cress2_incs = oban.get_ob_incs(data.x, data.y, data.heights, x, y, cress2, cressman_radius = 2.5 * d) cress2_rms = misc.rms(cress2_incs)
##testx, testy = m(-data.lons, data.lats) ##newx = -(testy - h/2.0) * ps.map_scale * cm_per_m ##newy = (testx - w/2.0) * ps.map_scale * cm_per_m delta = 1.27 x0 = 22.86 y0 = -8.89 x = N.arange(22) * delta + x0 y = N.arange(28) * delta + y0 x_grid,y_grid = N.meshgrid(x,y) x_bm,y_bm = ps2.to_basemap_xy(m2, x_grid / cm_per_m, y_grid / cm_per_m) #Radius factor used in all of the analyses R = 4.32 heights_cress = oban.analyze_grid(data.heights, x_grid, y_grid, data.x, data.y, oban.cressman_weights, R) contours = N.arange(5300., 6000., 60.0) parallels = N.arange(25., 60.0, 10.0) meridians = N.arange(-120., -60.0, 10.0) ##m2.drawstates() ##m2.drawcountries() ##m2.drawcoastlines() ##m2.drawparallels(parallels, labels = [1,1,0,0]) ##m2.drawmeridians(meridians, labels = [0,0,1,1]) ob_x, ob_y = ps2.to_basemap_xy(m2, data.x / cm_per_m, data.y / cm_per_m) #m2.plot(ob_x, ob_y, 'bx') #m2.plot(x_bm, y_bm, 'g.') for name in M.cm.cmapnames: f = P.figure() m2.drawstates()
