-
Notifications
You must be signed in to change notification settings - Fork 34
/
interp2D.py
206 lines (170 loc) · 6.38 KB
/
interp2D.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
import datetime
import logging
import extrapolate as ex
import numpy as np
try:
import ESMF
except ImportError:
logging.error("[M2R_interp2D] Could not find module ESMF")
pass
__author__ = "Trond Kristiansen"
__email__ = "me@trondkristiansen.com"
__created__ = datetime.datetime(2008, 12, 4)
__modified__ = datetime.datetime(2023, 12, 20)
__version__ = "1.6"
__status__ = "Development"
def laplacefilter(field, threshold, toxi, toeta):
undef = 2.0e35
tx = 0.9 * undef
critx = 0.01
cor = 1.6
mxs = 10
field = np.where(abs(field) > threshold, undef, field)
field = ex.extrapolate.fill(
int(1),
int(toxi),
int(1),
int(toeta),
float(tx),
float(critx),
float(cor),
float(mxs),
np.asarray(field, order="F"),
int(toxi),
int(toeta),
)
return field
def do_hor_interpolation_regular_grid(confM2R, mydata, myvar):
if confM2R.show_progress is True:
try:
import progressbar
widgets = [
"\rHorizontal interpolation:",
progressbar.Percentage(),
progressbar.Bar(),
]
progress = progressbar.ProgressBar(
confM2R.grdMODEL.nlevels, widgets=widgets
).start()
except ImportError:
logging.error("[M2R_interp2D] Could not find module progressbar")
confM2R.show_progress = False
pass
index_roms, toxi, toeta, mymask = setup_indexes(confM2R, myvar)
array1 = np.zeros(index_roms, dtype=np.float)
# 2D or 3D interpolation
depth_levels = confM2R.grdMODEL.nlevels
if myvar in ["ssh", "ageice", "uice", "vice", "aice", "hice", "snow_thick", "hs"]:
depth_levels = 1
for k in range(depth_levels):
if depth_levels == 1:
indata = np.squeeze(mydata[:, :])
else:
indata = np.squeeze(mydata[k, :, :])
# We interpolate to RHO fields for all variables and then we later interpolate RHO points to U and V points
# But input data are read on U and V and RHO grids if they differ (as NorESM and GLORYS does).
if myvar in ["uice"]:
confM2R.grdMODEL.fieldSrc_rho.data[:, :] = np.flipud(np.rot90(indata))
field = confM2R.grdROMS.regridSrc2Dst_u(
confM2R.grdMODEL.fieldSrc_rho, confM2R.grdROMS.fieldDst_u
)
elif myvar in ["vice"]:
confM2R.grdMODEL.fieldSrc_rho.data[:, :] = np.flipud(np.rot90(indata))
field = confM2R.grdROMS.regridSrc2Dst_v(
confM2R.grdMODEL.fieldSrc_rho, confM2R.grdROMS.fieldDst_v
)
else:
confM2R.grdMODEL.fieldSrc_rho.data[:, :] = np.flipud(np.rot90(indata))
field = confM2R.grdROMS.regridSrc2Dst_rho(
confM2R.grdMODEL.fieldSrc_rho, confM2R.grdROMS.fieldDst_rho
)
# Since ESMF uses coordinates (x,y) we need to rotate and flip to get back to (y,x) order.
field = np.fliplr(np.rot90(field.data, 3))
if confM2R.use_filter and myvar not in ["aice", "hice", "ageice"]:
field = laplacefilter(field, 1000, toxi, toeta)
field = field * mymask
array1[k, :, :] = field
if k in [2, 0] and False is True:
import matplotlib.pyplot as plt
import plotData
plotData.contourMap(
confM2R.grdROMS,
confM2R.grdROMS.lon_rho,
confM2R.grdROMS.lat_rho,
field,
str(k) + "_withfilter",
myvar,
)
plotfilename = "test_{}_wfilter.png".format(myvar)
plt.savefig(plotfilename, dpi=150)
if confM2R.show_progress is True:
progress.update(k)
if confM2R.show_progress is True:
progress.finish()
return array1
def setup_indexes(confM2R, myvar):
if myvar in ["uice"]:
indexROMS_Z_ST = (
confM2R.grdMODEL.nlevels,
confM2R.grdROMS.eta_u,
confM2R.grdROMS.xi_u,
)
toxi = confM2R.grdROMS.xi_u
toeta = confM2R.grdROMS.eta_u
mymask = confM2R.grdROMS.mask_u
elif myvar in ["vice"]:
indexROMS_Z_ST = (
confM2R.grdMODEL.nlevels,
confM2R.grdROMS.eta_v,
confM2R.grdROMS.xi_v,
)
toxi = confM2R.grdROMS.xi_v
toeta = confM2R.grdROMS.eta_v
mymask = confM2R.grdROMS.mask_v
else:
indexROMS_Z_ST = (
confM2R.grdMODEL.nlevels,
confM2R.grdROMS.eta_rho,
confM2R.grdROMS.xi_rho,
)
toxi = confM2R.grdROMS.xi_rho
toeta = confM2R.grdROMS.eta_rho
mymask = confM2R.grdROMS.mask_rho
return indexROMS_Z_ST, toxi, toeta, mymask
def setup_ESMF_interpolation_weights(confM2R):
logging.info(
"[M2R_interp2D] ==> Creating the interpolation weights and indexes using ESMF (this may take some time....):"
)
logging.info("[M2R_interp2D] ==> Source field src at RHO points")
confM2R.grdMODEL.fieldSrc_rho = ESMF.Field(
confM2R.grdMODEL.esmfgrid, "fieldSrc", staggerloc=ESMF.StaggerLoc.CENTER
)
logging.info("[M2R_interp2D] ==> Destination field src at RHO, u, and v points")
confM2R.grdROMS.fieldDst_rho = ESMF.Field(
confM2R.grdROMS.esmfgrid, "fieldDst", staggerloc=ESMF.StaggerLoc.CENTER
)
confM2R.grdROMS.fieldDst_u = ESMF.Field(
confM2R.grdROMS.esmfgrid_u, "fieldDst", staggerloc=ESMF.StaggerLoc.CENTER
)
confM2R.grdROMS.fieldDst_v = ESMF.Field(
confM2R.grdROMS.esmfgrid_v, "fieldDst", staggerloc=ESMF.StaggerLoc.CENTER
)
logging.info("[M2R_interp2D] ==> regridSrc2Dst from RHO to U, V and RHO points")
confM2R.grdROMS.regridSrc2Dst_rho = ESMF.Regrid(
confM2R.grdMODEL.fieldSrc_rho,
confM2R.grdROMS.fieldDst_rho,
regrid_method=ESMF.RegridMethod.BILINEAR,
unmapped_action=ESMF.UnmappedAction.IGNORE,
)
confM2R.grdROMS.regridSrc2Dst_u = ESMF.Regrid(
confM2R.grdMODEL.fieldSrc_rho,
confM2R.grdROMS.fieldDst_u,
regrid_method=ESMF.RegridMethod.BILINEAR,
unmapped_action=ESMF.UnmappedAction.IGNORE,
)
confM2R.grdROMS.regridSrc2Dst_v = ESMF.Regrid(
confM2R.grdMODEL.fieldSrc_rho,
confM2R.grdROMS.fieldDst_v,
regrid_method=ESMF.RegridMethod.BILINEAR,
unmapped_action=ESMF.UnmappedAction.IGNORE,
)