Coverage for src/CSET/operators/wind.py: 91%
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2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7# http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
15"""Operators to calculate various forms or properties of wind."""
17from __future__ import annotations
19import logging
21import iris
22import numpy as np
24from CSET._common import iter_maybe
25from CSET.operators._utils import get_cube_yxcoordname
26from CSET.operators.regrid import regrid_onto_cube
29def calculate_vector_wind(
30 u: iris.cube.Cube | iris.cube.CubeList,
31 v: iris.cube.Cube | iris.cube.CubeList,
32) -> iris.cube.CubeList:
33 """
35 Calculate wind speed and wind-from direction from U and V components.
37 Parameters
38 ----------
39 u : iris.cube.Cube or iris.cube.CubeList
40 Zonal (eastward) wind component(s). If a CubeList is provided,
41 it must contain one cube per model.
43 v : iris.cube.Cube or iris.cube.CubeList
44 Meridional (northward) wind component(s). Must correspond
45 one-to-one with `u`.
47 Returns
48 -------
49 iris.cube.CubeList
50 CubeList containing, for each (u, v) pair:
51 - wind_speed cube
52 - wind_direction cube
54 Notes
55 -----
56 - Pairs U and V cubes using zip(..., strict=True)
57 - Regrids U onto V grid if coordinate shapes differ
58 - Speed = np.hypot(u, v)
59 - Direction is meteorological "from" direction:
60 (atan2(-u, -v) + 360) % 360
61 """
62 out = iris.cube.CubeList()
64 for u_cube, v_cube in zip(iter_maybe(u), iter_maybe(v), strict=True):
65 # Ensure cubes to compare are on common differencing grid.
66 # This is triggered if either
67 # i) latitude and longitude shapes are not the same. Note grid points
68 # are not compared directly as these can differ through rounding
69 # errors.
70 # ii) or variables are known to often sit on different grid staggering
71 # in different models (e.g. cell center vs cell edge), as is the case
72 # for UM and LFRic comparisons.
73 # In future greater choice of regridding method might be applied depending
74 # on variable type. Linear regridding can in general be appropriate for smooth
75 # variables. Care should be taken with interpretation of differences
76 # given this dependency on regridding.
78 u_lat, u_lon = get_cube_yxcoordname(u_cube)
79 v_lat, v_lon = get_cube_yxcoordname(v_cube)
81 if ( 81 ↛ 85line 81 didn't jump to line 85 because the condition on line 81 was never true
82 u_cube.coord(u_lat).shape != v_cube.coord(v_lat).shape
83 or u_cube.coord(u_lon).shape != v_cube.coord(v_lon).shape
84 ):
85 logging.debug(
86 "Regridding U cube onto V cube grid for vector wind calculation"
87 )
88 u_cube = regrid_onto_cube(u_cube, v_cube, method="Linear")
90 # --- optional: sanity check units ---
91 if u_cube.units != v_cube.units: 91 ↛ 92line 91 didn't jump to line 92 because the condition on line 91 was never true
92 raise ValueError("U and V cubes must have the same units")
94 # --- compute vector wind ---
95 u_data = u_cube.data
96 v_data = v_cube.data
98 speed = np.hypot(u_data, v_data)
99 direction = (np.degrees(np.arctan2(-u_data, -v_data)) + 360) % 360
101 speed_cube = u_cube.copy(data=speed)
102 speed_cube.rename("wind_speed")
103 speed_cube.units = u_cube.units
104 direction_cube = u_cube.copy(data=direction)
105 direction_cube.standard_name = None
106 direction_cube.long_name = None
108 direction_cube.standard_name = "wind_from_direction"
109 direction_cube.units = "degrees"
110 direction_cube.long_name = "wind direction"
112 out.extend([speed_cube, direction_cube])
114 return out
117def convert_to_beaufort_scale(
118 cubes: iris.cube.Cube | iris.cube.CubeList,
119) -> iris.cube.Cube | iris.cube.CubeList:
120 r"""Convert windspeed from m/s to the Beaufort Scale.
122 Arguments
123 ---------
124 cubes: iris.cube.Cube | iris.cube.CubeList
125 Cubes of windspeed to be converted.
126 Required: `wind_speed_at_10m`.
128 Returns
129 -------
130 iris.cube.Cube | iris.cube.CubeList
131 Converted windspeed.
133 Notes
134 -----
135 The relationship used to convert the windspeed from m/s to the Beaufort
136 Scale is an empirical relationship (e.g., [Beer96]_):
138 .. math:: F = \left(\frac{v}{0.836}\right)^{2/3}
140 for F the Beaufort Force, and v the windspeed at 10 m in m/s.
142 The Beaufort Scale was devised in 1805 by Rear Admiral Sir Francis Beaufort.
143 It is a widely used windscale that categorises the winds into forces and provides
144 human-understable names (e.g. gale). The table below shows the Beaufort Scale based
145 on the Handbook of Meteorology ([Berryetal45]_).
147 .. list-table:: Beaufort Scale
148 :widths: 5 20 10 10 10
149 :header-rows: 1
151 * - Force [1]
152 - Descriptor
153 - Windspeed [m/s]
154 - Windspeed [kn]
155 - Windspeed [mph]
156 * - 0
157 - Calm
158 - < 0.4
159 - < 1
160 - < 1
161 * - 1
162 - Light Air
163 - 0.4 - 1.5
164 - 1 - 3
165 - 1 - 3
166 * - 2
167 - Light Breeze
168 - 1.6 - 3.3
169 - 4 - 6
170 - 4 - 7
171 * - 3
172 - Gentle Breeze
173 - 3.4 - 5.4
174 - 7 - 10
175 - 8 - 12
176 * - 4
177 - Moderate Breeze
178 - 5.5 - 7.9
179 - 11 - 16
180 - 13 - 18
181 * - 5
182 - Fresh Breeze
183 - 8.0 - 10.7
184 - 17 - 21
185 - 19 - 24
186 * - 6
187 - Strong Breeze
188 - 10.8 - 13.8
189 - 22 - 27
190 - 25 - 31
191 * - 7
192 - Near Gale
193 - 13.9 - 17.1
194 - 28 - 33
195 - 32 - 38
196 * - 8
197 - Gale
198 - 17.2 - 20.7
199 - 34 - 40
200 - 39 - 46
201 * - 9
202 - Strong Gale
203 - 20.8 - 24.4
204 - 41 - 47
205 - 47 - 54
206 * - 10
207 - Storm
208 - 24.5 - 28.4
209 - 48 - 55
210 - 55 - 63
211 * - 11
212 - Violent Storm
213 - 28.5 - 33.5
214 - 56 - 63
215 - 64 - 73
216 * - 12 (+)
217 - Hurricane
218 - > 33.6
219 - > 64
220 - > 74
222 The modern names have been used in this table. However, it should be noted
223 for historical accuracy that Force 7 was originally "Moderate Gale", Force 8
224 was originally "Fresh Gale", Force 10 was originally "Whole Gale", and
225 Force 11 was originally "Storm". Force 9 can also be referred to as
226 "Severe Gale". Furthermore, it should be noted that there is an extended
227 Beaufort Scale, sometimes used for tropical cyclones. Hence, why values
228 can reach above 12 in this diagnostic. However, these are not referred to
229 in the table as anything above F12 is labelled as Hurricane force.
231 References
232 ----------
233 .. [Beer96] Beer, T. (1996) Environmental Oceanography, CRC Marince Science,
234 Vol. 11, 2nd Edition, CRC Press, 402 pp.
235 .. [Berryetal45] Berry, F. A., Jr., E. Bollay, and N. R. Beers, (1945) Handbook
236 of Meteorology. McGraw Hill, 1068 pp.
238 Examples
239 --------
240 >>> Beaufort_Scale=wind.convert_to_Beaufort_scale(winds)
241 """
242 # Create and empty cubelist.
243 winds = iris.cube.CubeList([])
244 # Loop over cubelist.
245 for cube in iter_maybe(cubes):
246 # Copy cube so we do not overwrite data.
247 wind_cube = cube.copy()
248 # Divide data by 0.836.
249 wind_cube /= 0.836
250 # Raise to power of 2/3 to produce decimal Beaufort Scale.
251 wind_cube.data **= 2.0 / 3.0
252 # Round using even round (i.e. to nearest even number).
253 wind_cube.data = np.round(wind_cube.data)
254 # Convert units.
255 wind_cube.units = "1"
256 # Rename cube.
257 wind_cube.rename(f"{cube.name()}_on_Beaufort_Scale")
258 winds.append(wind_cube)
259 # Output as single cube or cubelist depending on if cube of cubelist given
260 # as input.
261 if len(winds) == 1:
262 return winds[0]
263 else:
264 return winds