├── .gitattributes ├── .gitignore ├── LICENSE ├── README.md ├── namelist.wps ├── namelist_plot.py └── test_namelist_plot.py /.gitattributes: -------------------------------------------------------------------------------- 1 | # Auto detect text files and perform LF normalization 2 | * text=auto 3 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | 2 | WRF_DOMAIN_PLOT_COAWST.png 3 | *.pyc 4 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # namelist_plot 2 | -------------------------------------------------------------------------------- /namelist.wps: -------------------------------------------------------------------------------- 1 | &share 2 | wrf_core = 'ARW', 3 | max_dom = 3, 4 | start_date = '2014-06-03_00:00:00', '2014-06-03_00:00:00', '2014-06-03_00:00:00', 5 | end_date = '2014-06-05_00:00:00', '2014-06-05_00:00:00', '2014-06-05_00:00:00', 6 | interval_seconds = 3600, 7 | io_form_geogrid = 2, 8 | debug_level = 0, 9 | / 10 | 11 | &geogrid 12 | parent_id = 1,1,2, 13 | parent_grid_ratio = 1,3,3, 14 | i_parent_start = 1,96,110, 15 | j_parent_start = 1,40,83, 16 | e_we = 310,379,526, 17 | e_sn = 197,325,487, 18 | geog_data_res = '30s','30s','30s', 19 | dx = 9000, 20 | dy = 9000, 21 | map_proj = 'lambert', 22 | ref_lat = 39.45, 23 | ref_lon = -75.566, 24 | truelat1 = 39.45, 25 | truelat2 = 39.45, 26 | stand_lon = -75.566, 27 | geog_data_path = '/path/ ', 28 | ref_x = 155.0, 29 | ref_y = 98.5, 30 | / 31 | 32 | &ungrib 33 | out_format = 'WPS', 34 | prefix = 'FILE', 35 | / 36 | 37 | &metgrid 38 | fg_name = 'FILE', 39 | io_form_metgrid = 2, 40 | / 41 | 42 | &mod_levs 43 | press_pa = 201300 , 200100 , 100000 , 44 | 95000 , 90000 , 45 | 85000 , 80000 , 46 | 75000 , 70000 , 47 | 65000 , 60000 , 48 | 55000 , 50000 , 49 | 45000 , 40000 , 50 | 35000 , 30000 , 51 | 25000 , 20000 , 52 | 15000 , 10000 , 53 | 5000 , 1000 54 | / 55 | -------------------------------------------------------------------------------- /namelist_plot.py: -------------------------------------------------------------------------------- 1 | """ 2 | Created on Thu Dec 6 19:21:36 2018 3 | 4 | @author: allenea 5 | Eric Allen, University of Delaware 6 | 7 | Last Updated: 2/4/2019 11am 8 | 9 | Written in Python3(.6) 10 | Python/3.6 11 | Cartopy/0.17 12 | Matplotlib/3.0 13 | CLASS: wps_info ("namelist.wps") -- > Calls get_wps_info 14 | 15 | METHODS: 16 | - get_wps_info(filename,plot_info=False) -- Default -- Intialized when calling wps_info(filename)... Optional to print info right away 17 | 18 | - print_info() 19 | 20 | - get_proj_LambertConformal() 21 | +(RETURNS: projection) 22 | 23 | - get_proj_Mercator() 24 | +(RETURNS: projection) 25 | 26 | - get_proj_Stereographic() 27 | +(RETURNS: projection) 28 | 29 | - get_proj_LatLon() 30 | +(RETURNS: projection) 31 | 32 | - plot_domain_number(domain_number) -- default -- 1 33 | + (RETURNS: domain_number) 34 | 35 | - calc_wps_domain_info() ** 36 | - (RETURNS: wpsproj, latlonproj, corner_lat_full, corner_lon_full, length_x, length_y) 37 | 38 | - calc_corner_point_latlon(center_lat, center_lon, e_we, e_ns, dx, dy, wpsproj, latlonproj, loc) ** 39 | +(RETURNS: corner_lon, corner_lat) 40 | 41 | - calc_center_point_latlon(corner_lat_parent, corner_lon_parent, dx_parent, dy_parent, e_we, e_ns, dx, dy, i, j, wpsproj, latlonproj) ** 42 | +(RETURNS: center_lon_child, center_lat_child) 43 | 44 | - reproject_corners(corner_lons, corner_lats, wpsproj, latlonproj) ** 45 | +(RETURNS: return corner_x, corner_y) 46 | 47 | - plot_zoom_out(corner_x, corner_y, ns_zoom,we_zoom) 48 | +(RETURNS: return corner_x, corner_y) 49 | 50 | - plot_zoom_in(corner_x, corner_y, ns_zoom,we_zoom) 51 | +(RETURNS: return corner_x, corner_y) 52 | 53 | - plot_all_domains(ax1, fig1, wpsproj, latlonproj, corner_lat_full, corner_lon_full, length_x, length_y) 54 | +(RETURNS: ax1, fig1 ) 55 | 56 | 57 | OUTSIDE FUNCTION: 58 | - _ismissing(val, islat=True) -- FROM WRF-PYTHON 59 | +(RETURNS: (bool) True/False) 60 | 61 | 62 | ** Adapted from Xiaodong Chen @lucas-uw on github 63 | 64 | Code heavily adapted from https://github.com/lucas-uw/WRF-tools/blob/master/WRF_input_tools/Visualize_WPS_domain.ipynb and combined with my previous 65 | attempts at reading/using/plotting wrf's namelist.wps file-data. 66 | 67 | 68 | He had a great calc_wps_domain_info function. I modified it to work with my wps_info class replacing my reprojection code. 69 | - Decided not to implement the lambert projection gridlines work-around 70 | - Wait until cartopy implements it in a future version or let the user implement at their own peril 71 | 72 | I was having trouble recalculating the centerpoint and then getting the corners perfect in all nested domains for all projection types. 73 | Instead of just plotting the bounds of each domain, I have made it so that you can create a cartopy projection and use only that domain, 74 | then from there you can choose to zoom in and out as you wish. 75 | 76 | You do not have to use this class for plotting, but that is one of the features... The other main feature is it hold namelist.wps data 77 | - You can also use it to recreate your grid for other uses such as spatial interpolation or plotting observation data. 78 | 79 | 80 | #!! Problems/Improvements: 81 | - Gridlines 82 | - X/Y Ticks and Labels for geographic reference 83 | - Is it possible to improve zoom or shift center point of zoom? 84 | - No Testing 85 | - How plot_all_domains applies gridlines 86 | 87 | """ 88 | 89 | #IMPORTS 90 | import numpy as np 91 | import matplotlib as mpl 92 | import cartopy.crs as ccrs 93 | from matplotlib.font_manager import FontProperties 94 | import math 95 | from cartopy.feature import OCEAN, LAKES, LAND #,NaturalEarthFeature 96 | import cartopy 97 | import os.path 98 | import shapely.geometry as sgeom 99 | from copy import copy 100 | from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER 101 | import matplotlib.ticker as ticker 102 | 103 | class wps_info(object): 104 | """ 105 | Developed by Eric Allen, University of Delaware 106 | 107 | wps = wps_info(infile) 108 | plt_idx = wps.plot_domain_number(plot_domains) 109 | wpsproj, latlonproj, corner_lat_full, corner_lon_full, length_x, length_y = wps.calc_wps_domain_info() 110 | 111 | """ 112 | def __init__(self,file,print_info=False): 113 | self.filelocname = file 114 | self._printinfo = print_info 115 | if os.path.exists(self.filelocname): 116 | wps_info.get_wps_info(self.filelocname) 117 | if self._printinfo == True: 118 | wps_info.print_info() 119 | else: 120 | print ("FILE NOT FOUND IN PROVIDED PATH AND/OR FILENAME") 121 | raise ValueError 122 | 123 | 124 | @classmethod 125 | def get_wps_info(cls,namelist_wps_filename="namelist.wps"): 126 | """ 127 | Reads the namelist file and stores the important information. Default = namelist.wps 128 | 129 | """ 130 | 131 | newdx = [] 132 | newdy = [] 133 | cls.pole_lat = 90.0 # these get changed if there is something to change it with 134 | cls.pole_lon = 0.0 # these get changed if there is something to change it with 135 | file = open(namelist_wps_filename,'r').readlines() 136 | for row in file: 137 | row = " ".join(row.split(",")) 138 | row = " ".join(row.split("\n")) 139 | 140 | if 'wrf_core' in row: 141 | tmprow = row.split("=")[1] 142 | tmprow = " ".join(tmprow.split("'")) 143 | cls.wrf_core = str(tmprow.strip()) 144 | 145 | elif 'max_dom' in row: 146 | tmprow = row.split("=")[1] 147 | cls.max_dom = int(tmprow) 148 | 149 | elif 'start_date' in row: 150 | tmprow = row.split("=")[1] #All Start/End Dates for each domain should be the same 151 | tmprow = " ".join(tmprow.split("'")) 152 | tmprow2 = tmprow.split(" ") 153 | start1 = [item for item in tmprow2 if item != ''] 154 | cls.start_date = start1[0] 155 | 156 | elif 'end_date' in row: 157 | tmprow = row.split("=")[1] #All Start/End Dates for each domain should be the same 158 | tmprow = " ".join(tmprow.split("'")) 159 | tmprow2 = tmprow.split(" ") 160 | end1 = [item for item in tmprow2 if item != ''] 161 | cls.end_date = end1[0] 162 | 163 | elif 'interval_seconds' in row: 164 | tmprow = row.split("=")[1] 165 | cls.interval_seconds = int(tmprow) 166 | 167 | elif 'parent_id' in row: 168 | tmprow = row.split("=")[1] 169 | tmprow2 = tmprow.split(" ") 170 | pid = [int(item) for item in tmprow2 if item != ''] 171 | cls.parent_id = pid 172 | 173 | elif 'parent_grid_ratio' in row: 174 | tmprow = row.split("=")[1] 175 | tmprow2 = tmprow.split(" ") 176 | pgr = [int(item) for item in tmprow2 if item != ''] 177 | cls.parent_grid_ratio = pgr 178 | 179 | elif 'i_parent_start' in row: 180 | tmprow = row.split("=")[1] 181 | tmprow2 = tmprow.split(" ") 182 | ipar = [] 183 | for item in tmprow2: 184 | if item !='': 185 | num = int(item) 186 | ipar.append(num-1) 187 | 188 | 189 | ipar2 = [int(item) for item in tmprow2 if item != ''] 190 | cls.i_parent_start = ipar 191 | cls.i_parent_start_original=ipar2 192 | 193 | elif 'j_parent_start' in row: 194 | tmprow = row.split("=")[1] 195 | tmprow2 = tmprow.split(" ") 196 | jpar = [] 197 | for item in tmprow2: 198 | if item !='': 199 | num = int(item) 200 | jpar.append(num-1) 201 | 202 | 203 | jpar2 = [int(item) for item in tmprow2 if item != ''] 204 | cls.j_parent_start = jpar 205 | cls.j_parent_start_original=jpar2 206 | 207 | 208 | elif 'e_we' in row: 209 | tmprow = row.split("=")[1] 210 | tmprow2 = tmprow.split(" ") 211 | ewe = [] 212 | for item in tmprow2: 213 | if item !='': 214 | num = int(item) 215 | ewe.append(num-1) 216 | 217 | 218 | ewe2 = [int(item) for item in tmprow2 if item != ''] 219 | cls.e_we = ewe 220 | cls.e_we_original=ewe2 221 | 222 | elif 'e_sn' in row: 223 | tmprow = row.split("=")[1] 224 | tmprow2 = tmprow.split(" ") 225 | esn = [] 226 | for item in tmprow2: 227 | if item !='': 228 | num = int(item) 229 | esn.append(num-1) 230 | esn2 = [int(item) for item in tmprow2 if item != ''] 231 | cls.e_sn = esn 232 | cls.e_sn_original=esn2 233 | 234 | 235 | elif 'geog_data_res' in row: 236 | tmprow = row.split("=")[1] 237 | tmprow = " ".join(tmprow.split("'")) 238 | tmprow2 = tmprow.split(" ") 239 | gdr = [item for item in tmprow2 if item != ''] 240 | cls.geog_data_res = gdr 241 | 242 | elif 'dx' in row: 243 | tmprow = row.split("=")[1] 244 | tmprow2 = tmprow.split(" ") 245 | dxval = [float(item) for item in tmprow2 if item != ''] 246 | dx = dxval[0] 247 | for dom_idx in range(cls.max_dom): 248 | if dom_idx == 0: 249 | tmpdx = dx 250 | newdx.append(tmpdx) 251 | else: 252 | tmpdx =tmpdx/cls.parent_grid_ratio[dom_idx] 253 | newdx.append(tmpdx) 254 | cls.dx0 = newdx[0] 255 | cls.dx = newdx 256 | 257 | 258 | elif 'dy' in row: 259 | tmprow = row.split("=")[1] 260 | tmprow2 = tmprow.split(" ") 261 | dyval = [float(item) for item in tmprow2 if item != ''] 262 | dy = dyval[0] 263 | for dom_idx in range(cls.max_dom): 264 | if dom_idx == 0: 265 | tmpdy = dy 266 | newdy.append(tmpdy) 267 | else: 268 | tmpdy =tmpdy/cls.parent_grid_ratio[dom_idx] 269 | newdy.append(tmpdy) 270 | cls.dy0 = newdy[0] 271 | cls.dy = newdy 272 | 273 | elif 'map_proj' in row: 274 | tmprow = row.split("=")[1] 275 | tmprow = "".join(tmprow.split("'")) 276 | cls.map_proj = str(tmprow.strip()) 277 | 278 | elif 'ref_lat' in row: 279 | tmprow = row.split("=")[1] 280 | tmprow2 = tmprow.split(" ") 281 | rlat = [float(item) for item in tmprow2 if item != ''] 282 | cls.ref_lat = rlat[0] 283 | 284 | elif 'ref_lon' in row: 285 | tmprow = row.split("=")[1] 286 | tmprow2 = tmprow.split(" ") 287 | rlon = [float(item) for item in tmprow2 if item != ''] 288 | cls.ref_lon = rlon[0] 289 | 290 | elif 'truelat1' in row: 291 | tmprow = row.split("=")[1] 292 | tmprow2 = tmprow.split(" ") 293 | tl1 = [float(item) for item in tmprow2 if item != ''] 294 | cls.truelat1 = tl1[0] 295 | 296 | elif 'truelat2' in row: 297 | tmprow = row.split("=")[1] 298 | tmprow2 = tmprow.split(" ") 299 | tl2 = [float(item) for item in tmprow2 if item != ''] 300 | cls.truelat2 = tl2[0] 301 | 302 | elif 'stand_lon' in row: 303 | tmprow = row.split("=")[1] 304 | tmprow2 = tmprow.split(" ") 305 | stdlon = [float(item) for item in tmprow2 if item != ''] 306 | cls.stand_lon = stdlon[0] 307 | 308 | elif 'ref_x' in row: 309 | tmprow = row.split("=")[1] 310 | tmprow2 = tmprow.split(" ") 311 | refx = [float(item) for item in tmprow2 if item != ''] 312 | cls.ref_x = refx[0] 313 | 314 | elif 'ref_y' in row: 315 | tmprow = row.split("=")[1] 316 | tmprow2 = tmprow.split(" ") 317 | refy = [float(item) for item in tmprow2 if item != ''] 318 | cls.ref_y = refy[0] 319 | 320 | elif 'pole_lat' in row: 321 | tmprow = row.split("=")[1] 322 | tmprow2 = tmprow.split(" ") 323 | polelat = [float(item) for item in tmprow2 if item != ''] 324 | cls.pole_lat = polelat[0] 325 | 326 | elif 'pole_lon' in row: 327 | tmprow = row.split("=")[1] 328 | tmprow2 = tmprow.split(" ") 329 | polelon = [float(item) for item in tmprow2 if item != ''] 330 | cls.pole_lon = polelon[0] 331 | 332 | #keys = ["wrf_core", "max_dom","start_date","end_date","interval_seconds","parent_id","parent_grid_ratio",\ 333 | # "i_parent_start","j_parent_start","e_we","e_sn","geog_data_res","dx","dy","map_proj","ref_lat","ref_lon",\ 334 | # "truelat1","truelat2","stand_lon","ref_x","ref_y","pole_lat","pole_lon","new_dx","new_dy"] 335 | # data = [ wrf_core, max_dom,start_date,end_date,interval_seconds,parent_id,parent_grid_ratio,\ 336 | # i_parent_start,j_parent_start,e_we,e_sn,geog_data_res,dx,dy,map_proj,ref_lat,ref_lon,\ 337 | # truelat1,truelat2,stand_lon,ref_x,ref_y,pole_lat,pole_lon,newdx,newdy] 338 | #dictionary = dict(zip(keys, data)) 339 | 340 | #return dictionary 341 | 342 | 343 | @classmethod 344 | def print_info(cls): 345 | print ("wrf_core:", cls.wrf_core) 346 | print ("max_dom:", cls.max_dom) 347 | print ("start_date:", cls.start_date) 348 | print ("end_date:", cls.end_date) 349 | print ("interval_seconds:", cls.interval_seconds) 350 | print ("parent_id:", cls.parent_id) 351 | print ("parent_grid_ratio:", cls.parent_grid_ratio) 352 | print ("i_parent_start:", cls.i_parent_start_original) 353 | print ("j_parent_start:", cls.j_parent_start_original) 354 | print ("e_we:", cls.e_we_original) 355 | print ("e_sn:", cls.e_sn_original) 356 | print ("geog_data_res:", cls.geog_data_res) 357 | print ("dx0 =",cls.dx0) 358 | print ("dx =",cls.dx) 359 | print ("dy0 =",cls.dy0) 360 | print ("dy =",cls.dy) 361 | print ("map_proj:", cls.map_proj) 362 | print ("ref_lat:", cls.ref_lat) 363 | print ("ref_lon:", cls.ref_lon) 364 | print ("truelat1:", cls.truelat1) 365 | print ("truelat2:", cls.truelat2) 366 | print ("stand_lon:", cls.stand_lon) 367 | print ("ref_x:", cls.ref_x) 368 | print ("ref_y:", cls.ref_y) 369 | print ("pole_lat:", cls.pole_lat) 370 | print ("pole_lon:", cls.pole_lon) 371 | 372 | #%% Projection Class-Methods 373 | @classmethod 374 | def get_proj_LambertConformal(cls): 375 | lccproj = ccrs.LambertConformal(central_longitude=cls.ref_lon, central_latitude=cls.ref_lat, 376 | standard_parallels=(cls.truelat1, cls.truelat2), globe=None, cutoff=10) 377 | return lccproj 378 | 379 | @classmethod #UNTESTED 380 | def get_proj_Mercator(cls): 381 | merproj = ccrs.Mercator(central_longitude=cls.ref_lon, globe=None) 382 | return merproj 383 | 384 | 385 | @classmethod #UNTESTED 386 | def get_proj_Stereographic(cls): 387 | hemi = -90. if cls.truelat1 < 0 else 90. 388 | 389 | lat_ts = (None 390 | if wps_info._ismissing(cls.truelat1) 391 | else cls.truelat1) 392 | 393 | polarproj = ccrs.Stereographic(central_latitude=hemi, 394 | central_longitude=cls.stand_lon, 395 | true_scale_latitude=lat_ts, 396 | globe=None) 397 | return polarproj 398 | 399 | 400 | @classmethod #UNTESTED 401 | def get_proj_LatLon(cls): 402 | latlonproj = ccrs.PlateCarree(central_longitude=cls.stand_lon, 403 | globe=None) 404 | return latlonproj 405 | 406 | 407 | #%% Calculating and Plotting WPS Domain 408 | @classmethod 409 | def plot_domain_number(cls, number=1): 410 | """ Developed by Eric Allen to plot certain domains from namelist.wps file 411 | 412 | Optional Input - Default to coarsest domain, but configurable to the max_domain 413 | """ 414 | if cls.max_dom < number: 415 | print ("Domain Number Out Of Range: Setting to coarsest domain") 416 | cls._plot_domain_number = 0 417 | else: 418 | cls._plot_domain_number = number - 1 419 | 420 | cls._maxdom_LIMIT = 10 421 | if cls.max_dom > cls._maxdom_LIMIT: 422 | print ("USING TOO MANY DOMAINS. Re-evaluate your model setup ") 423 | cls._plot_domain_number = 0 424 | 425 | return cls._plot_domain_number 426 | 427 | @classmethod 428 | def calc_wps_domain_info(cls): 429 | """ MODIFIED FROM Xiaodong Chen @lucas-uw on github""" 430 | 431 | # get WPS projection info 432 | if cls.map_proj=='lambert': 433 | cls.wpsproj = wps_info.get_proj_LambertConformal() 434 | elif cls.map_proj == "mercator": 435 | cls.wpsproj = wps_info.get_proj_Mercator() 436 | elif cls.map_proj == "polar": 437 | cls.wpsproj = wps_info.get_proj_Stereographic() 438 | elif cls.map_proj == "lat-lon": 439 | cls.wpsproj = wps_info.get_proj_LatLon() 440 | else: 441 | print("WARNING: PROJECTION UNKNOWN") 442 | raise ValueError 443 | 444 | # Geodetic, for lat/lon projection 445 | cls.latlonproj = ccrs.Geodetic() 446 | #cls.latlonproj = ccrs.PlateCarree() 447 | 448 | 449 | length_x = np.zeros((cls.max_dom, 1)) 450 | length_y = np.zeros((cls.max_dom, 1)) 451 | 452 | for i in np.arange(0,cls.max_dom): 453 | length_x[i] = cls.dx[i]*cls.e_we[i] #Units = Meters 454 | length_y[i] = cls.dy[i]*cls.e_sn[i] #Units = Meters 455 | 456 | 457 | center_lat_full = np.zeros((cls.max_dom, 1)) 458 | center_lon_full = np.zeros((cls.max_dom, 1)) 459 | corner_lat_full = np.zeros((cls.max_dom, 4)) # ll, lr, uf, ur 460 | corner_lon_full = np.zeros((cls.max_dom, 4)) # ll, lr, uf, ur 461 | 462 | center_lat_full[0] = cls.ref_lat 463 | center_lon_full[0] = cls.ref_lon 464 | 465 | corner_lon_full[0,0], corner_lat_full[0,0] = wps_info.calc_corner_point_latlon(float(center_lat_full[0]), float(center_lon_full[0]), 466 | cls.e_we[0], cls.e_sn[0], 467 | float(cls.dx[0]), float(cls.dy[0]), 468 | cls.wpsproj, cls.latlonproj, 'll') 469 | corner_lon_full[0,1], corner_lat_full[0,1] = wps_info.calc_corner_point_latlon(center_lat_full[0], center_lon_full[0], 470 | cls.e_we[0], cls.e_sn[0], 471 | cls.dx[0], cls.dy[0], 472 | cls.wpsproj, cls.latlonproj, 'lr') 473 | corner_lon_full[0,2], corner_lat_full[0,2] = wps_info.calc_corner_point_latlon(center_lat_full[0], center_lon_full[0], 474 | cls.e_we[0], cls.e_sn[0], 475 | cls.dx[0], cls.dy[0], 476 | cls.wpsproj, cls.latlonproj, 'ul') 477 | corner_lon_full[0,3], corner_lat_full[0,3] = wps_info.calc_corner_point_latlon(center_lat_full[0], center_lon_full[0], 478 | cls.e_we[0], cls.e_sn[0], 479 | cls.dx[0], cls.dy[0], 480 | cls.wpsproj, cls.latlonproj, 'ur') 481 | # Getting information for subsequent domains 482 | if cls.max_dom>1: 483 | for i in np.arange(1,cls.max_dom): 484 | 485 | center_lon_full[i], center_lat_full[i] = wps_info.calc_center_point_latlon(corner_lat_full[i-1,0], corner_lon_full[i-1,0], 486 | cls.dx[i-1], cls.dy[i-1], 487 | cls.e_we[i], cls.e_sn[i], 488 | cls.dx[i], cls.dy[i], 489 | cls.i_parent_start[i], cls.j_parent_start[i], 490 | cls.wpsproj, cls.latlonproj) 491 | 492 | 493 | corner_lon_full[i,0], corner_lat_full[i,0] = wps_info.calc_corner_point_latlon(center_lat_full[i], center_lon_full[i], 494 | cls.e_we[i], cls.e_sn[i], 495 | cls.dx[i], cls.dy[i], 496 | cls.wpsproj, cls.latlonproj, 'll') 497 | corner_lon_full[i,1], corner_lat_full[i,1] = wps_info.calc_corner_point_latlon(center_lat_full[i], center_lon_full[i], 498 | cls.e_we[i], cls.e_sn[i], 499 | cls.dx[i], cls.dy[i], 500 | cls.wpsproj, cls.latlonproj, 'lr') 501 | corner_lon_full[i,2], corner_lat_full[i,2] = wps_info.calc_corner_point_latlon(center_lat_full[i], center_lon_full[i], 502 | cls.e_we[i], cls.e_sn[i], 503 | cls.dx[i], cls.dy[i], 504 | cls.wpsproj, cls.latlonproj, 'ul') 505 | corner_lon_full[i,3], corner_lat_full[i,3] = wps_info.calc_corner_point_latlon(center_lat_full[i], center_lon_full[i], 506 | cls.e_we[i], cls.e_sn[i], 507 | cls.dx[i], cls.dy[i], 508 | cls.wpsproj, cls.latlonproj, 'ur') 509 | 510 | #DO I REALLY WANT THESE VARIABLES PUBLIC, Is there a use that this class doesn't cover for? 511 | #Making private since you get these variables in the return 512 | cls._corner_lat_full =corner_lat_full 513 | cls._corner_lon_full = corner_lon_full 514 | cls._length_x = length_x 515 | cls._length_y = length_y 516 | 517 | return cls.wpsproj, cls.latlonproj, cls._corner_lat_full, cls._corner_lon_full, cls._length_x, cls._length_y 518 | 519 | 520 | 521 | 522 | #%% FROM Xiaodong Chen for finding accurate map information on inner domains to plot 523 | 524 | def calc_corner_point_latlon(center_lat, center_lon, e_we, e_ns, dx, dy, wpsproj, latlonproj, loc): 525 | """ FROM Xiaodong Chen @lucas-uw on github""" 526 | 527 | center_x, center_y = wpsproj.transform_point(center_lon, center_lat, latlonproj) 528 | if loc=='ll': 529 | xpt = center_x - dx*e_we/2.0 530 | ypt = center_y - dy*e_ns/2.0 531 | elif loc=='lr': 532 | xpt = center_x + dx*e_we/2.0 533 | ypt = center_y - dy*e_ns/2.0 534 | elif loc=='ul': 535 | xpt = center_x - dx*e_we/2.0 536 | ypt = center_y + dy*e_ns/2.0 537 | elif loc=='ur': 538 | xpt = center_x + dx*e_we/2.0 539 | ypt = center_y + dy*e_ns/2.0 540 | else: 541 | print("Invalid corner location (VALID: ll, lr, ul, ur)") 542 | raise ValueError 543 | 544 | corner_lon, corner_lat = latlonproj.transform_point(xpt, ypt, wpsproj) 545 | # TRANSFORMS TO DD Lat, DD LON 546 | 547 | return corner_lon, corner_lat 548 | 549 | def calc_center_point_latlon(corner_lat_parent, corner_lon_parent, dx_parent, dy_parent, e_we, e_ns, dx, dy, i, j, wpsproj, latlonproj): 550 | """ FROM Xiaodong Chen @lucas-uw on github""" 551 | corner_x_parent, corner_y_parent = wpsproj.transform_point(corner_lon_parent, corner_lat_parent, latlonproj) 552 | center_x_child = corner_x_parent + dx_parent*i + dx*e_we/2.0 553 | center_y_child = corner_y_parent + dy_parent*j + dy*e_ns/2.0 554 | center_lon_child, center_lat_child = latlonproj.transform_point(center_x_child, center_y_child, wpsproj) # FROM #### to Lat/Lon 555 | return center_lon_child, center_lat_child 556 | 557 | 558 | def reproject_corners(corner_lons, corner_lats, wpsproj, latlonproj): 559 | """ FROM Xiaodong Chen @lucas-uw on github""" 560 | 561 | corner_x = np.zeros((4,1)) 562 | corner_y = np.zeros((4,1)) 563 | corner_x[0], corner_y[0] = wpsproj.transform_point(corner_lons[0], corner_lats[0], latlonproj) 564 | corner_x[1], corner_y[1] = wpsproj.transform_point(corner_lons[1], corner_lats[1], latlonproj) 565 | corner_x[2], corner_y[2] = wpsproj.transform_point(corner_lons[2], corner_lats[2], latlonproj) 566 | corner_x[3], corner_y[3] = wpsproj.transform_point(corner_lons[3], corner_lats[3], latlonproj) 567 | return corner_x, corner_y 568 | 569 | 570 | #%% PLOT ZOOM(s) and PLOT_ALL_DOMAINS 571 | def plot_zoom_out(corner_x, corner_y, ns_zoom,we_zoom): 572 | """NOT FULLY TESTED.... FOR ALL PROJECTION TYPES... trial and error""" 573 | if (ns_zoom >= 0 and ns_zoom <40) and (we_zoom >= 0 and we_zoom <40): 574 | corner_x = corner_x + corner_x * we_zoom 575 | corner_y = corner_y + corner_y * ns_zoom 576 | return corner_x, corner_y 577 | else: 578 | print ("Invalid Zoom Level, No Zoom Applied") 579 | return corner_x, corner_y 580 | 581 | def plot_zoom_in(corner_x, corner_y, ns_zoom,we_zoom): 582 | """HAVE HAD NO ISSUES BUT NOT FULLY TESTED FOR ALL PROJECTION TYPES... trial and error""" 583 | if (ns_zoom >= 0 and ns_zoom <100) and (we_zoom >= 0 and we_zoom <100): 584 | corner_x = corner_x - corner_x * we_zoom/100. 585 | corner_y = corner_y - corner_y * ns_zoom/100. 586 | return corner_x, corner_y 587 | else: 588 | print ("Invalid Zoom Level, No Zoom Applied") 589 | return corner_x, corner_y 590 | 591 | def plot_all_domains(ax1, fig1,max_dom, wpsproj, latlonproj, corner_lat_full, corner_lon_full, length_x, length_y): 592 | """ 593 | Plot all the Domains 594 | 595 | Location of dNum string to be dynamic relative to domain size and figure size would be much better. 596 | 597 | """ 598 | # d01 599 | font0 = FontProperties() 600 | font0.set_weight('bold') 601 | #print("Number of Domains: ", max_dom) 602 | colors = ['blue',"white","red", "cyan", "magenta","gold","black","green","yellow",'pink'] 603 | dNum = ['D01','D02','D03','D04','D05','D06','D07','D08','D09','D10'] 604 | ## ORIGINAL VALUES 605 | #xbuff = [0.05, 0.05, 0.1] 606 | #ybuff = [0.9, 1.1, 0.8] 607 | for i in range(max_dom): 608 | if i == 0: 609 | corner_x, corner_y = wps_info.reproject_corners(corner_lon_full[i,:], corner_lat_full[i,:], wpsproj, latlonproj) 610 | ax1.set_xlim([corner_x[0]-length_x[0]/15, corner_x[3]+length_x[0]/15]) ## In Geodetic Coordinates # Want Lat/Lon so I can add gridlines and labels on axis 611 | ax1.set_ylim([corner_y[0]-length_y[0]/15, corner_y[3]+length_y[0]/15]) ## In Geodetic Coordinates # Want Lat/Lon so I can add gridlines and labels on axis 612 | elif i < 10: 613 | corner_x, corner_y = wps_info.reproject_corners(corner_lon_full[i,:], corner_lat_full[i,:], wpsproj, latlonproj) 614 | else: 615 | print ("Maximum Domains To Plot is 9") 616 | raise IndexError 617 | 618 | ax1.add_patch(mpl.patches.Rectangle((corner_x[0], corner_y[0]), length_x[i], length_y[i], 619 | fill=None, lw=3, edgecolor=colors[i], zorder=10)) 620 | 621 | ax1.text(corner_x[0]+length_x[i]*0.05, corner_y[0]+length_y[i]*0.85, dNum[i], 622 | fontproperties=font0, size=15, color=colors[i], zorder=10) ## Can be improved 623 | 624 | fig1.canvas.draw() 625 | 626 | ax1.add_feature(LAND, edgecolor='k',facecolor='limegreen') 627 | ax1.add_feature(OCEAN, edgecolor='k',facecolor='deepskyblue')#, facecolor='deepskyblue') 628 | ax1.add_feature(LAKES, edgecolor='k',facecolor='deepskyblue') 629 | ax1.coastlines('10m','black') 630 | ax1.add_feature(cartopy.feature.STATES.with_scale('10m')) 631 | 632 | # I DO NOT LIKE THIS LAMBERT PROJ WORK AROUND. WAIT UNTIL CARTOPY SUPPORTS IT OR DON'T USE OR IMPLEMENT 633 | #if "Lambert" in str(wpsproj): 634 | # Add tick marks for lambert projection (only) 635 | #wps_info.set_lambert_ticks(ax1) 636 | # wps_info.set_lambert_ticks(ax1,xskip=5.,yskip=5.,x_thickness=14,y_thickness=14) 637 | if "Mercator" in str(wpsproj) or "PlateCarree" in str(wpsproj): 638 | ax1.gridlines(color='lightgrey', linestyle='-', draw_labels=True) 639 | elif "Polar" in str(wpsproj) or "Stereo" in str(wpsproj) or "lat-lon" in str(wpsproj): 640 | pass 641 | else: 642 | pass 643 | 644 | # Don't think this is needed 645 | return ax1, fig1 646 | 647 | 648 | def _ismissing(val, islat=True): 649 | """ 650 | From WRF-PYTHON.... 651 | Return True if a value is None or out of bounds. 652 | This function is used to check for invalid latitude/longitude values. 653 | Args 654 | val (numeric): A numeric value. 655 | islat (:obj:`bool`): Set to False if checking for longitude values. 656 | 657 | Returns 658 | :obj:`bool`: True if the value is None, or an out of bounds value. 659 | 660 | """ 661 | if islat: 662 | if val is None: 663 | return True 664 | 665 | if math.fabs(val) > 90.: 666 | return True 667 | else: 668 | if val is None: 669 | return True 670 | 671 | if math.fabs(val) > 360.: 672 | return True 673 | 674 | return False 675 | #%% Xiaodong Chen - Projection Features For Lambert Confromal Plots 676 | 677 | # all these functions are necessary only when LCC projection is used. 678 | def find_side(ls, side): 679 | """ 680 | FROM Xiaodong Chen @lucas-uw on github 681 | 682 | Given a shapely LineString which is assumed to be rectangular, return the 683 | line corresponding to a given side of the rectangle. 684 | 685 | """ 686 | minx, miny, maxx, maxy = ls.bounds 687 | points = {'left': [(minx, miny), (minx, maxy)], 688 | 'right': [(maxx, miny), (maxx, maxy)], 689 | 'bottom': [(minx, miny), (maxx, miny)], 690 | 'top': [(minx, maxy), (maxx, maxy)],} 691 | return sgeom.LineString(points[side]) 692 | 693 | 694 | def lambert_xticks(ax, ticks, size): 695 | """FROM Xiaodong Chen @lucas-uw on github - Draw ticks on the bottom x-axis of a Lambert Conformal projection.""" 696 | te = lambda xy: xy[0] 697 | lc = lambda t, n, b: np.vstack((np.zeros(n) + t, np.linspace(b[2], b[3], n))).T 698 | xticks, xticklabels = wps_info._lambert_ticks(ax, ticks, 'bottom', lc, te) 699 | ax.xaxis.tick_bottom() 700 | ax.set_xticks(xticks) 701 | ax.set_xticklabels([ax.xaxis.get_major_formatter()(xtick) for xtick in xticklabels], size=size) 702 | 703 | 704 | def lambert_yticks_left(ax, ticks, size): 705 | """FROM Xiaodong Chen @lucas-uw on github - Draw tricks on the left y-axis of a Lamber Conformal projection.""" 706 | te = lambda xy: xy[1] 707 | lc = lambda t, n, b: np.vstack((np.linspace(b[0], b[1], n), np.zeros(n) + t)).T 708 | yticks, yticklabels = wps_info._lambert_ticks(ax, ticks, 'left', lc, te) 709 | ax.yaxis.tick_left() 710 | ax.set_yticks(yticks) 711 | ax.set_yticklabels([ax.yaxis.get_major_formatter()(ytick) for ytick in yticklabels], size=size) 712 | 713 | 714 | def lambert_yticks_right(ax, ticks, size): 715 | """FROM Xiaodong Chen @lucas-uw on github - Draw ricks on the left y-axis of a Lamber Conformal projection.""" 716 | te = lambda xy: xy[1] 717 | lc = lambda t, n, b: np.vstack((np.linspace(b[0], b[1], n), np.zeros(n) + t)).T 718 | yticks, yticklabels = wps_info._lambert_ticks(ax, ticks, 'right', lc, te) 719 | ax.yaxis.tick_right() 720 | ax.set_yticks(yticks) 721 | ax.set_yticklabels([ax.yaxis.get_major_formatter()(ytick) for ytick in yticklabels], size=size) 722 | 723 | def _lambert_ticks(ax, ticks, tick_location, line_constructor, tick_extractor): 724 | """FROM Xiaodong Chen @lucas-uw on github - Get the tick locations and labels for an axis of a Lambert Conformal projection.""" 725 | outline_patch = sgeom.LineString(ax.outline_patch.get_path().vertices.tolist()) 726 | axis = wps_info.find_side(outline_patch, tick_location) 727 | n_steps = 30 728 | extent = ax.get_extent(ccrs.PlateCarree()) 729 | _ticks = [] 730 | for t in ticks: 731 | xy = line_constructor(t, n_steps, extent) 732 | proj_xyz = ax.projection.transform_points(ccrs.Geodetic(), xy[:, 0], xy[:, 1]) 733 | xyt = proj_xyz[..., :2] 734 | ls = sgeom.LineString(xyt.tolist()) 735 | locs = axis.intersection(ls) 736 | if not locs: 737 | tick = [None] 738 | else: 739 | tick = tick_extractor(locs.xy) 740 | _ticks.append(tick[0]) 741 | # Remove ticks that aren't visible: 742 | ticklabels = copy(ticks) 743 | #ticklabels.tolist() 744 | while True: 745 | """Eric: HAD TO MAKE A CHANGE HERE BECAUSE OFTEN ticklabels is a numpy array and not a list. 746 | np.arrays cannot pop a value like that""" 747 | try: 748 | index = _ticks.index(None) 749 | except ValueError: 750 | break 751 | #print (type(_ticks),type(ticklabels)) 752 | _ticks.pop(index) 753 | try: 754 | list(ticklabels).pop(index) 755 | except: 756 | ticklabels.pop(index) 757 | return _ticks, ticklabels 758 | 759 | #!! PROBLEM 760 | def set_lambert_ticks(ax,xskip=10.,yskip=10.,x_thickness=14,y_thickness=14): 761 | """ 762 | PROBLEMS HERE.... extent_rounded doesn't match the real extent but if the extent is less than a skip increment then it becomes all messed up. 763 | labels are inconsistent. Not sure why it plots sometimes and not othertimes. I want to be able to have gridlines on set increments like at 5N,10N,15N,20N or 10N,20N,30N. 764 | Gridlines sometimes don't cover the entire area. 765 | """ 766 | extent = list(ax.get_extent(ccrs.PlateCarree())) 767 | 768 | # Incase the extent is less than the x/y skip value. But then that messes with the only working gridlines 769 | extent_rounded = [round(val/10.0) * 10 for val in extent] 770 | #print("Rounded",extent_rounded) 771 | if extent_rounded[0] == extent_rounded[1]: 772 | extent_rounded[0] -=10 773 | extent_rounded[0] +=10 774 | if extent_rounded[0] == extent_rounded[1]: 775 | extent_rounded[0] -=10 776 | extent_rounded[0] +=10 777 | 778 | #print("Extent",extent) 779 | #print("Rounded",extent_rounded) 780 | 781 | xticks = np.arange(extent[0],extent[1]+1,xskip) # added one to get the full extent 782 | yticks = np.arange(extent[2],extent[3]+1,yskip) # added one to get the full extent 783 | #xticks = np.arange(extent_rounded[0],extent_rounded[1]+1,xskip) 784 | #yticks = np.arange(extent_rounded[2],extent_rounded[3]+1,yskip) 785 | 786 | 787 | #print("x_ticks ",xticks,"\t\t","y_ticks ", yticks) 788 | ax.gridlines(xlocs=xticks, ylocs=yticks) 789 | #ax.gridlines(color='lightgrey', linestyle='-', draw_labels=True) 790 | 791 | # OPTION 1: Use Cartopy's LAT/LON FORMATTER 792 | #ax.xaxis.set_major_formatter(LONGITUDE_FORMATTER) 793 | #ax.yaxis.set_major_formatter(LATITUDE_FORMATTER) 794 | 795 | # OPTION 2: SET PRECISION 796 | ax.xaxis.set_major_formatter(ticker.FormatStrFormatter("%3.2f")) 797 | ax.yaxis.set_major_formatter(ticker.FormatStrFormatter("%3.2f")) 798 | 799 | wps_info.lambert_xticks(ax, xticks, x_thickness) 800 | wps_info.lambert_yticks_left(ax, yticks, y_thickness) 801 | return ax -------------------------------------------------------------------------------- /test_namelist_plot.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | # -*- coding: utf-8 -*- 3 | """ 4 | Created on Sat Dec 8 19:06:22 2018 5 | 6 | Eric Allen, University of Delaware 7 | 8 | Last Updated: 2/4/2019 11am 9 | 10 | SHOWING SEVERAL CAPABILITIES OF namelist_plot class wps_info 11 | 12 | Written in Python3(.6) 13 | Python/3.6 14 | Cartopy/0.17 15 | Matplotlib/3.0 16 | 17 | @author: allenea 18 | 19 | RUNS FROM THE MAIN namelist_plot.py class 20 | 21 | ### SAMPLE 1 - Plot All Domains 22 | ### SAMPLE 2 - Plot a Single Domain 23 | ### SAMPLE 3 - ZOOM IN ON A SINGLE DOMAIN 24 | ### SAMPLE 4 - ZOOM OUT ON A SINGLE DOMAIN 25 | ### SAMPLE 5 - Not sure where I am going with this but showing how you can use the data 26 | ### SAMPLE 6 - Using an invalid namelist.wps name 27 | 28 | 29 | 30 | Issues: 31 | - Id' rather have the x/y ticks/labels at certain increments like 10,20,30, or 15,20,25,30 32 | - Gridlines look like crap and don't cover the entire image 33 | 34 | 35 | 36 | Sample 1: I am not sure why the gridlines do not cover teh entire image 37 | Sample 2,4: I am not sure why the xticks and yticks aren't labeled. 38 | 39 | Is it possible to have gridlines and x/y ticks on increments of 1,5,10,etc. instead of based on the extent of the projection 40 | """ 41 | import namelist_plot as nplt 42 | 43 | #%% NOT USED DIRECTLY 44 | import numpy as np 45 | import cartopy 46 | from cartopy.feature import OCEAN, LAKES, LAND, NaturalEarthFeature 47 | import matplotlib.pyplot as plt 48 | 49 | #%% SAMPLE 1 - Plot All Domains 50 | print("Sample 1") 51 | 52 | # Include the directory/path is file located outside the working directory 53 | infile = 'namelist.wps' 54 | wps = nplt.wps_info(infile) 55 | 56 | wpsproj, latlonproj, corner_lat_full, corner_lon_full, length_x, length_y = wps.calc_wps_domain_info() 57 | ## SET UP PLOT 58 | fig1 = plt.figure(figsize=(10,10)) 59 | ax1 = plt.axes(projection=wpsproj) 60 | 61 | #PLOT ALL DOMAINS 62 | nplt.wps_info.plot_all_domains(ax1,fig1,wps.max_dom, wpsproj, latlonproj, corner_lat_full, corner_lon_full, length_x, length_y) 63 | ax1.set_title('WRF 3-Nested Domain', size=20) 64 | fig1.savefig('WRF_DOMAIN_PLOT_COAWST.png', dpi=600) 65 | plt.show() 66 | 67 | 68 | 69 | #%% ## SAMPLE 2 - Plot a Single Domain 70 | print("Sample 2") 71 | 72 | ## SET INPUT DATA 73 | wpsfile = 'namelist.wps' 74 | plot_domains= 3 75 | 76 | ## GET/STORE WPS Data, Print Data, Get Plot Domain, Calculate Domain Info 77 | wps = nplt.wps_info(wpsfile) 78 | #wps.print_info() 79 | plt_idx = wps.plot_domain_number(plot_domains) 80 | wpsproj, latlonproj, corner_lat_full, corner_lon_full, length_x, length_y = wps.calc_wps_domain_info() 81 | 82 | 83 | ## SET UP PLOT 84 | fig2 = plt.figure(figsize=(10,10)) 85 | ax2 = plt.axes(projection=wpsproj) 86 | 87 | ## ADDING FEATURES 88 | ax2.coastlines('10m','black') 89 | ax2.add_feature(cartopy.feature.STATES.with_scale('10m')) 90 | 91 | ## REPORJECT 92 | corner_x, corner_y = nplt.wps_info.reproject_corners(corner_lon_full[plt_idx,:], corner_lat_full[plt_idx,:], wpsproj, latlonproj) 93 | 94 | ### ZOOM FUNCTION 95 | ns_zoom =0 96 | we_zoom = 0 97 | corner_x, corner_y = nplt.wps_info.plot_zoom_in(corner_x, corner_y,ns_zoom,we_zoom) 98 | 99 | ######## 100 | 101 | ## SET DOMAIN LIMITS TO ZOOM 102 | ax2.set_xlim([corner_x[0], corner_x[3]]) 103 | ax2.set_ylim([corner_y[0], corner_y[3]]) 104 | 105 | #print(list(ax2.get_extent(cartopy.crs.PlateCarree()))) 106 | nplt.wps_info.set_lambert_ticks(ax2,xskip=1.,yskip=1.,x_thickness=14,y_thickness=14) 107 | 108 | ax2.set_title("WRF domain "+ str(plot_domains), size=20) 109 | #fig2.savefig('WRF_SAMPLE_SINGLE_DOMAIN_PLOT.png', dpi=600) 110 | plt.show() 111 | #print("I'm not sure why the xtick and yticks aren't labeled.") 112 | 113 | #%% SAMPLE 3 - ZOOM IN ON A SINGLE DOMAIN 114 | print("Sample 3") 115 | 116 | plt_idx = wps.plot_domain_number(plot_domains) 117 | wpsproj, latlonproj, corner_lat_full, corner_lon_full, length_x, length_y = wps.calc_wps_domain_info() 118 | 119 | ## SET UP PLOT 120 | fig3 = plt.figure(figsize=(10,10)) 121 | ax3 = plt.axes(projection=wpsproj) 122 | 123 | ## ADDING FEATURES 124 | ax3.coastlines('10m','black') 125 | ax3.add_feature(cartopy.feature.STATES.with_scale('10m')) 126 | 127 | ## REPORJECT 128 | corner_x, corner_y = nplt.wps_info.reproject_corners(corner_lon_full[plt_idx,:], corner_lat_full[plt_idx,:], wpsproj, latlonproj) 129 | 130 | ### ZOOM FUNCTION 131 | ns_zoom = 65 132 | we_zoom = 80 133 | corner_x, corner_y = nplt.wps_info.plot_zoom_in(corner_x, corner_y,ns_zoom,we_zoom) 134 | ######## 135 | 136 | ## SET DOMAIN LIMITS TO ZOOM 137 | ax3.set_xlim([corner_x[0], corner_x[3]]) 138 | ax3.set_ylim([corner_y[0], corner_y[3]]) 139 | 140 | 141 | ax3.set_title("WRF Domain "+ str(plot_domains)+" Zoom In", size=20) 142 | #fig3.savefig('WRF_SAMPLE_SINGLE_DOMAIN_ZOOM_IN_PLOT.png', dpi=600) 143 | plt.show() 144 | 145 | #%% SAMPLE 4 - ZOOM OUT ON A SINGLE DOMAIN 146 | print("Sample 4") 147 | 148 | plt_idx = wps.plot_domain_number(plot_domains) 149 | wpsproj, latlonproj, corner_lat_full, corner_lon_full, length_x, length_y = wps.calc_wps_domain_info() 150 | 151 | ## SET UP PLOT 152 | fig4 = plt.figure(figsize=(10,10)) 153 | ax4 = plt.axes(projection=wpsproj) 154 | 155 | ## ADDING FEATURES 156 | ax4.coastlines('10m','black') 157 | ax4.add_feature(cartopy.feature.STATES.with_scale('10m')) 158 | 159 | ## REPORJECT 160 | corner_x, corner_y = nplt.wps_info.reproject_corners(corner_lon_full[plt_idx,:], corner_lat_full[plt_idx,:], wpsproj, latlonproj) 161 | 162 | ### ZOOM FUNCTION - FULL ZOOM OUT 163 | ns_zoom = 39 164 | we_zoom =39 165 | corner_x, corner_y = nplt.wps_info.plot_zoom_out(corner_x, corner_y,ns_zoom,we_zoom) 166 | 167 | ax4 = nplt.wps_info.set_lambert_ticks(ax4,xskip=10.,yskip=10.,x_thickness=14,y_thickness=14) 168 | 169 | ## SET DOMAIN LIMITS TO ZOOM 170 | ax4.set_xlim([corner_x[0], corner_x[3]]) 171 | ax4.set_ylim([corner_y[0], corner_y[3]]) 172 | 173 | ax4.set_title("WRF Domain "+ str(plot_domains)+" Zoom Out", size=20) 174 | #fig4.savefig('WRF_SAMPLE_SINGLE_DOMAIN_ZOOM_OUT_PLOT.png', dpi=600) 175 | plt.show() 176 | 177 | #%% SAMPLE 5 - Not sure where I am going with this but showing how you can use the data 178 | print("Sample 5") 179 | wps = nplt.wps_info(wpsfile,True) 180 | #dx = wps.dx #% Distance between 2 points in x direction 181 | #dy = wps.dy #% Distance between 2 points in y direction 182 | nx = np.empty(wps.max_dom) 183 | ny = np.empty(wps.max_dom) 184 | for i in range(wps.max_dom): 185 | nx[i] = wps.e_we[i] - wps.j_parent_start[i] #x direction #nx = 256 #% Number of grid points in the x direction 186 | ny[i] = wps.e_sn[i] - wps.i_parent_start[i] # y direction #ny = 256 #%*2; % Number of grid points in the y direction 187 | 188 | 189 | print() 190 | print() 191 | print("J Parents", wps.j_parent_start) 192 | print("I Parents", wps.i_parent_start) 193 | print("nx,ny: ",nx,ny) 194 | print() 195 | print() 196 | 197 | 198 | #%% SAMPLE 6 - Using an invalid namelist.wps name 199 | print("Sample 6 - Failure") 200 | infile = 'namelist.wps_failure' 201 | wps = nplt.wps_info(infile) 202 | wpsproj, latlonproj, corner_lat_full, corner_lon_full, length_x, length_y = wps.calc_wps_domain_info() 203 | 204 | --------------------------------------------------------------------------------