source: palm/trunk/SCRIPTS/palm_csd_files/palm_csd_tools.py @ 3726

Last change on this file since 3726 was 3726, checked in by maronga, 3 years ago

bugfixes in palm_csd

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1#!/usr/bin/env python3
2# -*- coding: utf-8 -*-
3#--------------------------------------------------------------------------------#
4# This file is part of the PALM model system.
5#
6# PALM is free software: you can redistribute it and/or modify it under the terms
7# of the GNU General Public License as published by the Free Software Foundation,
8# either version 3 of the License, or (at your option) any later version.
9#
10# PALM is distributed in the hope that it will be useful, but WITHOUT ANY
11# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
12# A PARTICULAR PURPOSE.  See the GNU General Public License for more details.
13#
14# You should have received a copy of the GNU General Public License along with
15# PALM. If not, see <http://www.gnu.org/licenses/>.
16#
17# Copyright 1997-2018  Leibniz Universitaet Hannover
18#--------------------------------------------------------------------------------#
19#
20# Current revisions:
21# -----------------
22#
23#
24# Former revisions:
25# -----------------
26# $Id: palm_csd_tools.py 3726 2019-02-07 18:22:49Z maronga $
27# Index bound bugfix
28#
29# 3668 2019-01-14 12:49:24Z maronga
30# Minor changes
31#
32# 3567 2018-11-27 13:59:21Z maronga
33# Initial revisions
34#
35#
36# Description:
37# ------------
38# Support routines for palm_csd
39#
40# @Author Bjoern Maronga (maronga@muk.uni-hannover.de)
41#
42#------------------------------------------------------------------------------#
43import numpy as np
44from scipy.interpolate import interp2d
45
46def blend_array_2d(array1,array2,radius):
47#  Blend over the parent and child terrain height within a radius of 50 px
48   
49   gradient_matrix = np.copy(array1)
50   gradient_matrix[:,:] = 1.0
51   gradient_px     = 50
52
53   for i in range(0,gradient_px):
54      gradient_matrix[:,i] = float(i)/float(gradient_px)
55
56
57   for i in range(len(gradient_matrix[0,:])-gradient_px,len(gradient_matrix[0,:])):
58      gradient_matrix[:,i] = float(len(gradient_matrix[0,:])-i)/float(gradient_px) 
59     
60
61   for j in range(0,gradient_px):
62      for i in range(0,len(gradient_matrix[0,:])):
63         if  gradient_matrix[j,i] == 1.0:
64            gradient_matrix[j,i] = float(j)/float(gradient_px) 
65         else:
66            gradient_matrix[j,i] = (gradient_matrix[j,i] + float(j)/float(gradient_px))/2.0
67
68
69   for j in range(len(gradient_matrix[:,0])-gradient_px,len(gradient_matrix[:,0])):
70      for i in range(0,len(gradient_matrix[0,:])):       
71         if  gradient_matrix[j,i] == 1.0:
72            gradient_matrix[j,i] = (len(gradient_matrix[:,0])-j)/float(gradient_px)
73         else:
74            gradient_matrix[j,i] = (gradient_matrix[j,i] + (len(gradient_matrix[:,0])-j)/float(gradient_px))/2.0
75
76   array_blended = array1 * gradient_matrix + (1.0 - gradient_matrix ) * array2
77       
78   return array_blended
79
80
81def interpolate_2d(array,x1,y1,x2,y2):
82   tmp_int2d = interp2d(x1,y1,array,kind='linear')
83   array_ip = tmp_int2d(x2.astype(float), y2.astype(float)) 
84
85   return array_ip
86   
87   
88def bring_to_palm_grid(array,x,y,dz):
89   
90#     Bring the parent terrain height to the child grid 
91      k_tmp = np.arange(0,max(array.flatten())+dz*2,dz)
92      k_tmp[1:] = k_tmp[1:] - dz * 0.5
93      for l in range(0,len(x)):
94         for m in range(0,len(y)):
95            for k in range(1,len(k_tmp+1)):
96               if k_tmp[k] > array[m,l]:
97                  array[m,l] = k_tmp[k-1]
98                  break
99
100      return array 
101
102
103def make_3d_from_2d(array_2d,x,y,dz):
104   
105      k_tmp = np.arange(0,max(array_2d.flatten())+dz*2,dz)
106 
107      k_tmp[1:] = k_tmp[1:] - dz * 0.5
108      array_3d = np.ones((len(k_tmp),len(y),len(x)))
109     
110      for l in range(0,len(x)):
111         for m in range(0,len(y)):
112            for k in range(0,len(k_tmp)):
113               if k_tmp[k] > array_2d[m,l]:
114                  array_3d[k,m,l] = 0
115
116      return array_3d.astype(np.byte), k_tmp
117
118
119def make_3d_from_bridges_2d(array_3d,array_2d,x,y,dz,width,fill):
120     
121      for l in range(0,len(x)-1):
122         for m in range(0,len(y)-1):
123            if array_2d[m,l] != fill:
124               k_min = max( int(array_2d[m,l] - width)/dz, 0 )
125               k_max = int(round(array_2d[m,l]/dz))
126               array_3d[k_min:k_max+1,m,l] = 1
127
128
129      return array_3d.astype(np.byte)
130
131
132def check_arrays_2(array1,array2,fill1,fill2):
133
134   missing1 = np.where(array1 == fill1,1,0)
135   missing2 = np.where(array2 == fill2,1,0)
136   result = np.array_equal(missing1,missing2)
137   
138   return result
139
140def check_consistency_3(array1,array2,array3,fill1,fill2,fill3):
141
142   tmp_array = np.where(array1 != fill1,1,0) + np.where(array2 != fill2,1,0) + np.where(array3 != fill3,-1,0)
143   
144   test = np.any(tmp_array.flatten() != 0)
145   if test:
146      print("soil_type array is not consistent!")
147      print("max: " + str(max(tmp_array.flatten())) + ", min: " + str(min(tmp_array.flatten())))
148   else:
149      print("soil_type array is consistent!")     
150   return tmp_array, test
151
152
153
154
155def check_consistency_4(array1,array2,array3,array4,fill1,fill2,fill3,fill4):
156
157   tmp_array = np.where(array1 != fill1,1,0) + np.where(array2 != fill2,1,0) + np.where(array3 != fill3,1,0) + np.where(array4 != fill4,1,0)
158   
159   test = np.any(tmp_array.flatten() != 1)
160   if test:
161      print("*_type arrays are not consistent!")
162      print("max: " + str(max(tmp_array.flatten())) + ", min: " + str(min(tmp_array.flatten())))
163   else:
164      print("*_type arrays are consistent!")     
165   return tmp_array, test
166
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