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cw3ecmaps.py
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cw3ecmaps.py
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"""
Filename: cw3ecmaps.py
Author: Deanna Nash, [email protected]
Description: Functions for cmaps from the CW3E website adapted from from https://github.com/samwisehawkins/nclcmaps
"""
import numpy as np
import matplotlib.colors as mcolors
from matplotlib.colors import ListedColormap
from matplotlib.ticker import FuncFormatter
__all__ = ['cw3ecmaps']
cw3e_cmaps = {
"ivt" :{
"colors":[[255, 255, 3],
[255, 229, 3],
[255, 201, 2],
[255, 175, 2],
[255, 131, 1],
[255, 79, 1],
[255, 24, 1],
[235, 1, 7],
[185, 0, 55],
[134, 0, 99],
[86, 0, 137]],
"bounds":[250, 300, 400, 500, 600, 700, 800, 1000, 1200, 1400, 1600, 5000],
"ticks":[250, 300, 400, 500, 600, 700, 800, 1000, 1200, 1400, 1600],
"label": "IVT (kg m$^{-1}$ s$^{-1}$)",
},
"iwv" : {
"colors":[[5, 0, 206],
[8, 25, 255],
[9, 113, 255],
[10, 196, 255],
[11, 249, 237],
[6, 226, 160],
[3, 201, 81],
[9, 184, 6],
[97, 208, 3],
[177, 232, 2],
[255, 255, 3],
[255, 225, 3],
[255, 197, 2],
[255, 166, 2],
[255, 112, 1],
[255, 56, 1],
[255, 1, 0],
[209, 0, 33],
[155, 0, 81],
[100, 0, 126],
[128, 59, 167]],
"bounds":[20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 200],
"ticks":[20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60],
"label": "IVT (kg m$^{-1}$ s$^{-1}$)"
},
"ivt_probability":{
"colors": [[10, 180, 255], # blue
[12, 253, 248], # cyan
[7, 228, 170], # green 1
[3, 203, 87], # green 2
[6, 182, 6], # green 3
[95, 208, 3], # green 4
[176, 231, 2], # green-yellow
[255, 255, 3], # yellow
[255, 225, 3], # yellow-orange
[255, 199, 2], # orange 1
[255, 170, 2], # orange 2
[255, 115, 1], # orange 3
[255, 57, 1], # red 1
[255, 1, 0], # red 2
[205, 0, 37], # red 3
[150, 0, 86], # maroon
[91, 0, 133]], # purple
"bounds":[0., 0.25, 0.3, 0.35, 0.4, 0.45, 0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8, 0.85, 0.9, 0.95, 1., 1.05],
"ticks":[0.25, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.],
"label":'Probability of IVT $\geq$ {0} kg m$^{-1}$ s$^{-1}$',
},
"ivt_vector":{
"colors":[[255., 255., 255.], #0.0-0.1
[9., 156., 255.], #0.1-0.2
[8., 235., 191.], #0.2-0.3
[2., 186., 24.], #0.3-0.4
[155., 225., 2.], #0.4-0.5
[255, 233, 3], #0.5-0.6
[255, 175, 2], #0.6-0.7
[255, 69, 1], #0.7-0.8
[215, 0, 28], #0.8-0.9
[102, 0, 125]], #0.9-1.0,
"bounds":[0., 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.],
"ticks":[0., 0.2, 0.4, 0.6, 0.8, 1.],
"label":'Probability of IVT $\geq$ {0} kg m$^{-1}$ s$^{-1}$',
},
"jay_qpf":{
"colors":[[10, 193, 255],
[156, 47, 206],
[206, 33, 33],
[140, 67, 0],
[255, 128, 1],
[140, 101, 1],
[255, 187, 7],
[255, 223, 140],
[255, 131, 173]],
"bounds":[1, 2, 3, 4, 5, 7, 10, 15, 20],
"ticks":[1, 2, 3, 4, 5, 7, 10, 15, 20],
"label": 'QPF (in.)',
},
"brian_qpf":{
"colors":[[154, 219, 165],
[106, 198, 165],
[83, 174, 164],
[72, 148, 160],
[63, 123, 155],
[60, 97, 150],
[63, 68, 133],
[56, 46, 91],
[40, 25, 51]],
"bounds":[1, 2, 3, 4, 5, 7, 10, 15, 20],
"ticks":[1, 2, 3, 4, 5, 7, 10, 15, 20],
"label":'QPF (in.)',
},
"test_terrain":{
"colors":[[255, 255, 255],
[156, 47, 206],
[206, 33, 33],
[140, 67, 0],
[255, 128, 1],
[140, 101, 1],
[255, 187, 7],
[255, 223, 140],
[255, 131, 173]],
"bounds":[0., 250., 500., 1000., 1500., 2000., 2500., 3000., 3500.],
"ticks":[0., 250., 500., 1000., 1500., 2000., 2500., 3000., 3500.],
"label":'elevation (m)',
},
"land_sea":{
"colors":[[38, 63, 120],
[255, 255, 255]],
"bounds":[0., 1.],
"ticks": [0, 1],
"label":None,
},
"ivt_duration":{
"colors": [[255, 174, 0], # orange 250
[236, 0, 7], # red 500
[86, 0, 137], # purple 750
[77, 77, 77]], # grey 1000,
"bounds":[0, 250, 500, 750, 1000],
"ticks":[250, 500, 750, 1000],
"label":'IVT $\geq$ threshold',
},
"ivt_magnitude":{
"colors":[[10, 180, 255], # blue
[12, 253, 248], # cyan
[7, 228, 170], # green 1
[3, 203, 87], # green 2
[6, 182, 6], # green 3
[95, 208, 3], # green 4
[176, 231, 2], # green-yellow
[255, 255, 3], # yellow
[255, 225, 3], # yellow-orange
[255, 199, 2], # orange 1
[255, 170, 2], # orange 2
[255, 115, 1], # orange 3
[255, 57, 1], # red 1
[255, 1, 0], # red 2
[205, 0, 37], # red 3
[150, 0, 86], # maroon
[91, 0, 133]], # purple,
"bounds":[0., 250, 300, 350, 400, 450, 500, 550, 600, 650, 700, 750, 800, 850, 900, 950, 1000, 1050],
"ticks":[250, 350, 450, 550, 650, 750, 850, 950],
"label":'Ensemble Mean IVT (kg m$^{-1}$ s$^{-1}$)',
},
"arscale":{
"colors": [[10, 193, 255], # blue
[4, 255, 3], # green
[255, 255, 3], # yellow
[255, 166, 2], # orange
[255, 1, 0]], # red,
"bounds":[1, 2, 3, 4, 5],
"ticks":[1, 2, 3, 4, 5],
"label": 'AR Scale',
},
"ivt_intwest":{
"colors":[[12, 255, 255], # 100-150
[16, 185, 6], # 150-200
[140, 220, 2], # 200-250
[255, 255, 3], # 250-300
[255, 229, 3], # 300-400
[255, 201, 2], # 400-500
[255, 175, 2], # 500-600
[255, 131, 1], # 600-700
[255, 79, 1], # 700-800
[255, 24, 1], # 800-1000
[235, 1, 7], # 1000-1200
[185, 0, 55], # 1200-1400
[134, 0, 99], # 1400-1600
[86, 0, 137]], # 1600+,
"bounds":[100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 1000, 1200, 1400, 1600, 5000],
"ticks":[100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 1000, 1200, 1400, 1600],
"label":'IVT (kg m$^{-1}$ s$^{-1}$)',
},
"iwv_intwest":{
"colors":[[5, 0, 206], # 10
[8, 25, 255],
[9, 113, 255],
[10, 196, 255],
[11, 249, 237],
[6, 226, 160],
[3, 201, 81],
[9, 184, 6],
[97, 208, 3],
[177, 232, 2],
[255, 255, 3],
[255, 225, 3],
[255, 197, 2],
[255, 166, 2],
[255, 112, 1],
[255, 56, 1],
[255, 1, 0],
[209, 0, 33],
[155, 0, 81],
[100, 0, 126],
[128, 59, 167]] ,
"bounds":[10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 200],
"ticks":[10, 14, 18, 22, 26, 30, 34, 38, 42, 46, 50],
"label":'IWV (mm)',
},
"wind_speed_250":{
"colors": [[5, 0, 206], # 20-22
[8, 25, 255], # 22-24
[10, 196, 255], # 26-28
[11, 249, 237], # 28-30
[6, 226, 160], # 30-32
[9, 184, 6], # 34-36
[97, 208, 3], # 36-38
[255, 255, 3], # 40-42
[255, 197, 2], # 44-46
[255, 166, 2], # 46-48
[255, 112, 1], # 48-50
[255, 1, 0], # 52-54
[209, 0, 33], # 54-56
[155, 0, 81], # 56-58
[122,0, 110], # 58-60
[100, 0, 126]],
"bounds":[70, 75, 80, 85, 90, 95, 100, 105, 110, 120, 125, 130, 135, 140, 145, 150, 200],
"ticks":[70, 75, 80, 85, 90, 95, 100, 105, 110, 120, 125, 130, 135, 140, 145, 150],
"label":'Wind Speed (knots)',
},
"absolute_vorticity_500":{
"colors":[[5, 0, 206], # 20-22
[8, 25, 255], # 22-24
[10, 196, 255], # 26-28
[11, 249, 237], # 28-30
[6, 226, 160], # 30-32
[9, 184, 6], # 34-36
[97, 208, 3], # 36-38
[255, 255, 3], # 40-42
[255, 197, 2], # 44-46
[255, 166, 2], # 46-48
[255, 112, 1], # 48-50
[255, 1, 0], # 52-54
[209, 0, 33], # 54-56
[155, 0, 81], # 56-58
[122,0, 110], # 58-60
[100, 0, 126]],
"bounds":[10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 100],
"ticks":[10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40],
"label":'Absolute Vorticity 500-hPa (x10$^{{-5}}$ s $^{{-1}}$)',
},
"temperature_850":{
"colors":[[228,215,236],
[190,154,208],
[155,103,185],
[122,48,162],
[93,8,143],
[1,27,205],
[0,47,255],
[0,123,255],
[0,195,255],
[0,249,237],
[33,189,5],
[118,213,2],
[178,232,0],
[255,253,0],
[255,207,0],
[255,177,2],
[255,133,1],
[255,77,0],
[210,0,32],
[182,0,57],
[149,0,86]],
"bounds":[-25,-22.5,-20,-17.5,-15,-12.5,-10,-7.5,-5,-2.5,0,2.5,5,7.5,10,12.5,15,17.5,20,22.5,25,50],
"ticks":[-25,-20,-15,-10,-5,0,5,10,15,20,25],
"label":"Temperature 850-hPa ($^{{o}}$C)",
},
"total_precipitation_mm":{
"colors":[[215,216,255],
[185,185,255],
[123,123,255],
[25,36,255],
[0,31,208],
[0,71,160],
[0,107,112],
[5,144,61],
[15,180,7],
[56,196,3],
[111,212,3],
[164,228,0],
[215,242,1],
[255,246,0],
[255,196,1],
[255,144,1],
[255,91,0],
[255,37,1],
[248,0,0],
[216,0,27],
[189,0,51],
[163,0,74],
[142,0,92],
[122,0,110],
[94,6,133],
[162,112,189]],
"bounds":[0.1, 1, 2.5, 5, 7.5, 10, 12, 15, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 225, 250, 500],
"ticks":[0.1, 1, 2.5, 5, 7.5, 10, 12, 15, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 225, 250],
"label":"Total precipitation (mm)",
},
"total_precipitation_in":{
"colors":[[215,216,255],
[185,185,255],
[123,123,255],
[25,36,255],
[0,31,208],
[0,71,160],
[0,107,112],
[5,144,61],
[15,180,7],
[56,196,3],
[111,212,3],
[164,228,0],
[215,242,1],
[255,246,0],
[255,196,1],
[255,144,1],
[255,91,0],
[255,37,1],
[248,0,0],
[216,0,27],
[189,0,51],
[163,0,74],
[142,0,92],
[122,0,110],
[94,6,133],
[162,112,189]],
"bounds":[0.004, 0.039, 0.098, 0.197, 0.295, 0.394, 0.472, 0.591, 0.787, 0.984, 1.181, 1.378, 1.575, 1.772, 1.969, 2.362, 2.756, 3.150, 3.543, 3.937, 4.921, 5.906, 6.890, 7.874, 8.858, 9.843, 20.49],
"ticks":[0.004, 0.1, 0.3, 0.5, 0.8, 1.2, 1.6, 2, 3, 4, 7, 10],
"label":"Total precipitation (in)",
},
"tivt":{
"colors":[[250, 247, 3], # 2-4
[251, 211, 2], # 4-6
[252, 137, 1], # 6-8
[252, 64, 1], # 8-10
[204, 0, 37], # 10-12
[155, 0, 63], # 12-14
[63, 63, 63], # 14-16
[115, 115, 115], # 16-18
[201, 201, 201]], # 18-20,
"bounds":[2, 4, 6, 8, 10, 12, 14, 16, 18, 40],
"ticks":[2, 4, 6, 8, 10, 12, 14, 16, 18],
"label":'time integrated IVT (10$^{7}$ m$^{-1}$)',
},
"wvflux":{
"colors":[[255, 255, 51], # 0.025-0.05
[255, 234, 51], # 0.05-0.075
[255, 211, 51], # 0.075-0.1
[255, 189, 50], # 0.1-0.15
[255, 155, 51], # 0.15-0.2
[255, 115, 51], # 0.2-0.25
[255, 75, 51], # 0.25-0.3
[239, 51, 63], # 0.3-0.35
[214, 51, 83], # 0.35-0.4
[181, 51, 110], # 0.4-0.45
[161, 51, 127], # 0.45-0.5
[140, 51, 143], # 0.5+
],
"bounds":[0.025, 0.05, 0.075, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5, 1.],
"ticks":[0.025, 0.05, 0.075, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5],
"label":'WV Flux (m s$^{-1}$)',
},
}
def cmap(cbarname):
data = np.array(cw3e_cmaps[cbarname]["colors"])
data = data / np.max(data)
cmap = ListedColormap(data, name=cbarname)
bnds = cw3e_cmaps[cbarname]["bounds"]
norm = mcolors.BoundaryNorm(bnds, cmap.N)
cbarticks = cw3e_cmaps[cbarname]["ticks"]
cbarlbl = cw3e_cmaps[cbarname]["label"]
return cmap, norm, bnds, cbarticks, cbarlbl