def convert(f):
factories = []
references = []
standard_name = None
long_name = None
units = None
attributes = {}
cell_methods = []
dim_coords_and_dims = []
aux_coords_and_dims = []
if \
(f.lbtim.ia == 0) and \
(f.lbtim.ib == 0) and \
(f.lbtim.ic in [1, 2, 3, 4]) and \
(len(f.lbcode) != 5 or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])):
aux_coords_and_dims.append(
(DimCoord(f.time_unit('hours').date2num(f.t1),
standard_name='time',
units=f.time_unit('hours')), None))
if \
(f.lbtim.ia == 0) and \
(f.lbtim.ib == 1) and \
(f.lbtim.ic in [1, 2, 3, 4]) and \
(len(f.lbcode) != 5 or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])):
aux_coords_and_dims.append((DimCoord(f.time_unit('hours',
f.t2).date2num(f.t1),
standard_name='forecast_period',
units='hours'), None))
aux_coords_and_dims.append(
(DimCoord(f.time_unit('hours').date2num(f.t1),
standard_name='time',
units=f.time_unit('hours')), None))
aux_coords_and_dims.append(
(DimCoord(f.time_unit('hours').date2num(f.t2),
standard_name='forecast_reference_time',
units=f.time_unit('hours')), None))
if \
(f.lbtim.ib == 2) and \
(f.lbtim.ic in [1, 2, 4]) and \
((len(f.lbcode) != 5) or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])):
t_unit = f.time_unit('hours')
t1_hours = t_unit.date2num(f.t1)
t2_hours = t_unit.date2num(f.t2)
period = t2_hours - t1_hours
aux_coords_and_dims.append((DimCoord(standard_name='forecast_period',
units='hours',
points=f.lbft - 0.5 * period,
bounds=[f.lbft - period,
f.lbft]), None))
aux_coords_and_dims.append(
(DimCoord(standard_name='time',
units=t_unit,
points=0.5 * (t1_hours + t2_hours),
bounds=[t1_hours, t2_hours]), None))
aux_coords_and_dims.append(
(DimCoord(f.time_unit('hours').date2num(f.t2) - f.lbft,
standard_name='forecast_reference_time',
units=f.time_unit('hours')), None))
if \
(f.lbtim.ib == 3) and \
(f.lbtim.ic in [1, 2, 4]) and \
((len(f.lbcode) != 5) or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])):
t_unit = f.time_unit('hours')
t1_hours = t_unit.date2num(f.t1)
t2_hours = t_unit.date2num(f.t2)
period = t2_hours - t1_hours
aux_coords_and_dims.append((DimCoord(standard_name='forecast_period',
units='hours',
points=f.lbft,
bounds=[f.lbft - period,
f.lbft]), None))
aux_coords_and_dims.append((DimCoord(standard_name='time',
units=t_unit,
points=t2_hours,
bounds=[t1_hours,
t2_hours]), None))
aux_coords_and_dims.append(
(DimCoord(f.time_unit('hours').date2num(f.t2) - f.lbft,
standard_name='forecast_reference_time',
units=f.time_unit('hours')), None))
if \
(f.lbtim.ib == 3) and \
(f.lbtim.ic in [1, 2, 4]) and \
((len(f.lbcode) != 5) or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])) and \
(f.lbmon == 12 and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0) and \
(f.lbmond == 3 and f.lbdatd == 1 and f.lbhrd == 0 and f.lbmind == 0):
aux_coords_and_dims.append((AuxCoord('djf',
long_name='season',
units='no_unit'), None))
if \
(f.lbtim.ib == 3) and \
(f.lbtim.ic in [1, 2, 4]) and \
((len(f.lbcode) != 5) or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])) and \
(f.lbmon == 3 and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0) and \
(f.lbmond == 6 and f.lbdatd == 1 and f.lbhrd == 0 and f.lbmind == 0):
aux_coords_and_dims.append((AuxCoord('mam',
long_name='season',
units='no_unit'), None))
if \
(f.lbtim.ib == 3) and \
(f.lbtim.ic in [1, 2, 4]) and \
((len(f.lbcode) != 5) or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])) and \
(f.lbmon == 6 and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0) and \
(f.lbmond == 9 and f.lbdatd == 1 and f.lbhrd == 0 and f.lbmind == 0):
aux_coords_and_dims.append((AuxCoord('jja',
long_name='season',
units='no_unit'), None))
if \
(f.lbtim.ib == 3) and \
(f.lbtim.ic in [1, 2, 4]) and \
((len(f.lbcode) != 5) or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])) and \
(f.lbmon == 9 and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0) and \
(f.lbmond == 12 and f.lbdatd == 1 and f.lbhrd == 0 and f.lbmind == 0):
aux_coords_and_dims.append((AuxCoord('son',
long_name='season',
units='no_unit'), None))
if \
(f.bdx != 0.0) and \
(f.bdx != f.bmdi) and \
(len(f.lbcode) != 5) and \
(f.lbcode[0] == 1):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzx,
f.bdx,
f.lbnpt,
standard_name=f._x_coord_name(),
units='degrees',
circular=(f.lbhem in [0, 4]),
coord_system=f.coord_system()), 1))
if \
(f.bdx != 0.0) and \
(f.bdx != f.bmdi) and \
(len(f.lbcode) != 5) and \
(f.lbcode[0] == 2):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzx,
f.bdx,
f.lbnpt,
standard_name=f._x_coord_name(),
units='degrees',
circular=(f.lbhem in [0, 4]),
coord_system=f.coord_system(),
with_bounds=True), 1))
if \
(f.bdy != 0.0) and \
(f.bdy != f.bmdi) and \
(len(f.lbcode) != 5) and \
(f.lbcode[0] == 1):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzy,
f.bdy,
f.lbrow,
standard_name=f._y_coord_name(),
units='degrees',
coord_system=f.coord_system()), 0))
if \
(f.bdy != 0.0) and \
(f.bdy != f.bmdi) and \
(len(f.lbcode) != 5) and \
(f.lbcode[0] == 2):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzy,
f.bdy,
f.lbrow,
standard_name=f._y_coord_name(),
units='degrees',
coord_system=f.coord_system(),
with_bounds=True), 0))
if \
(f.bdy == 0.0 or f.bdy == f.bmdi) and \
(len(f.lbcode) != 5 or (len(f.lbcode) == 5 and f.lbcode.iy == 10)):
dim_coords_and_dims.append(
(DimCoord(f.y,
standard_name=f._y_coord_name(),
units='degrees',
bounds=f.y_bounds,
coord_system=f.coord_system()), 0))
if \
(f.bdx == 0.0 or f.bdx == f.bmdi) and \
(len(f.lbcode) != 5 or (len(f.lbcode) == 5 and f.lbcode.ix == 11)):
dim_coords_and_dims.append(
(DimCoord(f.x,
standard_name=f._x_coord_name(),
units='degrees',
bounds=f.x_bounds,
circular=(f.lbhem in [0, 4]),
coord_system=f.coord_system()), 1))
if \
(len(f.lbcode) == 5) and \
(f.lbcode.iy == 2) and \
(f.bdy == 0 or f.bdy == f.bmdi):
dim_coords_and_dims.append((DimCoord(f.y,
standard_name='height',
units='km',
bounds=f.y_bounds,
attributes={'positive':
'up'}), 0))
if \
(len(f.lbcode) == 5) and \
(f.lbcode[-1] == 1) and \
(f.lbcode.iy == 4):
dim_coords_and_dims.append((DimCoord(f.y,
standard_name='depth',
units='m',
bounds=f.y_bounds,
attributes={'positive':
'down'}), 0))
if \
(len(f.lbcode) == 5) and \
(f.lbcode.ix == 10) and \
(f.bdx != 0) and \
(f.bdx != f.bmdi):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzx,
f.bdx,
f.lbnpt,
standard_name=f._y_coord_name(),
units='degrees',
coord_system=f.coord_system()), 1))
if \
(len(f.lbcode) == 5) and \
(f.lbcode.iy == 1) and \
(f.bdy == 0 or f.bdy == f.bmdi):
dim_coords_and_dims.append((DimCoord(f.y,
long_name='pressure',
units='hPa',
bounds=f.y_bounds), 0))
if \
(len(f.lbcode) == 5) and \
(f.lbcode.ix == 1) and \
(f.bdx == 0 or f.bdx == f.bmdi):
dim_coords_and_dims.append((DimCoord(f.x,
long_name='pressure',
units='hPa',
bounds=f.x_bounds), 1))
if \
(len(f.lbcode) == 5) and \
(f.lbcode[-1] == 1) and \
(f.lbcode.iy == 23):
dim_coords_and_dims.append((DimCoord(
f.y,
standard_name='time',
units=iris.unit.Unit('days since 0000-01-01 00:00:00',
calendar=iris.unit.CALENDAR_360_DAY),
bounds=f.y_bounds), 0))
if \
(len(f.lbcode) == 5) and \
(f.lbcode[-1] == 1) and \
(f.lbcode.ix == 23):
dim_coords_and_dims.append((DimCoord(
f.x,
standard_name='time',
units=iris.unit.Unit('days since 0000-01-01 00:00:00',
calendar=iris.unit.CALENDAR_360_DAY),
bounds=f.x_bounds), 1))
if \
(len(f.lbcode) == 5) and \
(f.lbcode[-1] == 1) and \
(f.lbcode.ix == 13) and \
(f.bdx != 0):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzx,
f.bdx,
f.lbnpt,
long_name='site_number',
units='1'), 1))
if \
(len(f.lbcode) == 5) and \
(13 in [f.lbcode.ix, f.lbcode.iy]) and \
(11 not in [f.lbcode.ix, f.lbcode.iy]) and \
(hasattr(f, 'lower_x_domain')) and \
(hasattr(f, 'upper_x_domain')) and \
(all(f.lower_x_domain != -1.e+30)) and \
(all(f.upper_x_domain != -1.e+30)):
aux_coords_and_dims.append((AuxCoord(
(f.lower_x_domain + f.upper_x_domain) / 2.0,
standard_name=f._x_coord_name(),
units='degrees',
bounds=np.array([f.lower_x_domain, f.upper_x_domain]).T,
coord_system=f.coord_system()), 1 if f.lbcode.ix == 13 else 0))
if \
(len(f.lbcode) == 5) and \
(13 in [f.lbcode.ix, f.lbcode.iy]) and \
(10 not in [f.lbcode.ix, f.lbcode.iy]) and \
(hasattr(f, 'lower_y_domain')) and \
(hasattr(f, 'upper_y_domain')) and \
(all(f.lower_y_domain != -1.e+30)) and \
(all(f.upper_y_domain != -1.e+30)):
aux_coords_and_dims.append((AuxCoord(
(f.lower_y_domain + f.upper_y_domain) / 2.0,
standard_name=f._y_coord_name(),
units='degrees',
bounds=np.array([f.lower_y_domain, f.upper_y_domain]).T,
coord_system=f.coord_system()), 1 if f.lbcode.ix == 13 else 0))
if \
(f.lbproc == 128) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia == 0):
cell_methods.append(CellMethod("mean", coords="time"))
if \
(f.lbproc == 128) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia != 0):
cell_methods.append(
CellMethod("mean", coords="time",
intervals="%d hour" % f.lbtim.ia))
if \
(f.lbproc == 128) and \
(f.lbtim.ib == 3):
cell_methods.append(CellMethod("mean", coords="time"))
if \
(f.lbproc == 128) and \
(f.lbtim.ib not in [2, 3]):
cell_methods.append(CellMethod("mean", coords="time"))
if \
(f.lbproc == 4096) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia == 0):
cell_methods.append(CellMethod("minimum", coords="time"))
if \
(f.lbproc == 4096) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia != 0):
cell_methods.append(
CellMethod("minimum",
coords="time",
intervals="%d hour" % f.lbtim.ia))
if \
(f.lbproc == 4096) and \
(f.lbtim.ib != 2):
cell_methods.append(CellMethod("minimum", coords="time"))
if \
(f.lbproc == 8192) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia == 0):
cell_methods.append(CellMethod("maximum", coords="time"))
if \
(f.lbproc == 8192) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia != 0):
cell_methods.append(
CellMethod("maximum",
coords="time",
intervals="%d hour" % f.lbtim.ia))
if \
(f.lbproc == 8192) and \
(f.lbtim.ib != 2):
cell_methods.append(CellMethod("maximum", coords="time"))
if f.lbproc not in [0, 128, 4096, 8192]:
attributes["ukmo__process_flags"] = tuple(
sorted([
iris.fileformats.pp.lbproc_map[flag] for flag in f.lbproc.flags
]))
if \
(f.lbvc == 1) and \
(not (str(f.stash) in ['m01s03i236', 'm01s03i237', 'm01s03i245', 'm01s03i247', 'm01s03i250'])) and \
(f.blev != -1):
aux_coords_and_dims.append((DimCoord(f.blev,
standard_name='height',
units='m',
attributes={'positive':
'up'}), None))
if str(f.stash) in [
'm01s03i236', 'm01s03i237', 'm01s03i245', 'm01s03i247',
'm01s03i250'
]:
aux_coords_and_dims.append((DimCoord(1.5,
standard_name='height',
units='m',
attributes={'positive':
'up'}), None))
if \
(len(f.lbcode) != 5) and \
(f.lbvc == 2):
aux_coords_and_dims.append(
(DimCoord(_model_level_number(f),
standard_name='model_level_number',
attributes={'positive': 'down'}), None))
if \
(len(f.lbcode) != 5) and \
(f.lbvc == 2) and \
(f.brsvd[0] == f.brlev):
aux_coords_and_dims.append((DimCoord(f.blev,
standard_name='depth',
units='m',
attributes={'positive':
'down'}), None))
if \
(len(f.lbcode) != 5) and \
(f.lbvc == 2) and \
(f.brsvd[0] != f.brlev):
aux_coords_and_dims.append((DimCoord(f.blev,
standard_name='depth',
units='m',
bounds=[f.brsvd[0], f.brlev],
attributes={'positive':
'down'}), None))
# soil level
if len(f.lbcode) != 5 and f.lbvc == 6:
aux_coords_and_dims.append(
(DimCoord(_model_level_number(f),
long_name='soil_model_level_number',
attributes={'positive': 'down'}), None))
if \
(f.lbvc == 8) and \
(len(f.lbcode) != 5 or (len(f.lbcode) == 5 and 1 not in [f.lbcode.ix, f.lbcode.iy])):
aux_coords_and_dims.append((DimCoord(f.blev,
long_name='pressure',
units='hPa'), None))
if \
(len(f.lbcode) != 5) and \
(f.lbvc == 19):
aux_coords_and_dims.append(
(DimCoord(f.blev,
standard_name='air_potential_temperature',
units='K',
attributes={'positive': 'up'}), None))
# Hybrid pressure coordinate
if f.lbvc == 9:
model_level_number = DimCoord(_model_level_number(f),
standard_name='model_level_number',
attributes={'positive': 'up'})
# The following match the hybrid height scheme, but data has the
# blev and bhlev values the other way around.
#level_pressure = DimCoord(f.blev,
# long_name='level_pressure',
# units='Pa',
# bounds=[f.brlev, f.brsvd[0]])
#sigma = AuxCoord(f.bhlev,
# long_name='sigma',
# bounds=[f.bhrlev, f.brsvd[1]])
level_pressure = DimCoord(f.bhlev,
long_name='level_pressure',
units='Pa',
bounds=[f.bhrlev, f.brsvd[1]])
sigma = AuxCoord(f.blev,
long_name='sigma',
bounds=[f.brlev, f.brsvd[0]])
aux_coords_and_dims.extend([(model_level_number, None),
(level_pressure, None), (sigma, None)])
factories.append(
Factory(HybridPressureFactory,
[{
'long_name': 'level_pressure'
}, {
'long_name': 'sigma'
},
Reference('surface_air_pressure')]))
if f.lbvc == 65:
aux_coords_and_dims.append(
(DimCoord(_model_level_number(f),
standard_name='model_level_number',
attributes={'positive': 'up'}), None))
aux_coords_and_dims.append((DimCoord(f.blev,
long_name='level_height',
units='m',
bounds=[f.brlev, f.brsvd[0]],
attributes={'positive':
'up'}), None))
aux_coords_and_dims.append((AuxCoord(f.bhlev,
long_name='sigma',
bounds=[f.bhrlev,
f.brsvd[1]]), None))
factories.append(
Factory(HybridHeightFactory, [{
'long_name': 'level_height'
}, {
'long_name': 'sigma'
},
Reference('orography')]))
if f.lbrsvd[3] != 0:
aux_coords_and_dims.append(
(DimCoord(f.lbrsvd[3], standard_name='realization'), None))
if f.lbuser[4] != 0:
aux_coords_and_dims.append((DimCoord(f.lbuser[4],
long_name='pseudo_level',
units='1'), None))
if f.lbuser[6] == 1 and f.lbuser[3] == 5226:
standard_name = "precipitation_amount"
units = "kg m-2"
if \
(f.lbuser[6] == 2) and \
(f.lbuser[3] == 101):
standard_name = "sea_water_potential_temperature"
units = "Celsius"
if \
((f.lbsrce % 10000) == 1111) and \
((f.lbsrce / 10000) / 100.0 > 0):
attributes['source'] = 'Data from Met Office Unified Model %4.2f' % (
(f.lbsrce / 10000) / 100.0)
if \
((f.lbsrce % 10000) == 1111) and \
((f.lbsrce / 10000) / 100.0 == 0):
attributes['source'] = 'Data from Met Office Unified Model'
if f.lbuser[6] != 0 or (f.lbuser[3] / 1000) != 0 or (f.lbuser[3] %
1000) != 0:
attributes['STASH'] = f.stash
if \
(f.lbuser[6] == 1) and \
(f.lbuser[3] == 4205):
standard_name = "mass_fraction_of_cloud_ice_in_air"
units = "1"
if \
(f.lbuser[6] == 1) and \
(f.lbuser[3] == 4206):
standard_name = "mass_fraction_of_cloud_liquid_water_in_air"
units = "1"
if \
(f.lbuser[6] == 1) and \
(f.lbuser[3] == 30204):
standard_name = "air_temperature"
units = "K"
if \
(f.lbuser[6] == 4) and \
(f.lbuser[3] == 6001):
standard_name = "sea_surface_wave_significant_height"
units = "m"
if str(f.stash) in STASH_TO_CF:
standard_name = STASH_TO_CF[str(f.stash)].standard_name
units = STASH_TO_CF[str(f.stash)].units
long_name = STASH_TO_CF[str(f.stash)].long_name
if \
(not f.stash.is_valid) and \
(f.lbfc in LBFC_TO_CF):
standard_name = LBFC_TO_CF[f.lbfc].standard_name
units = LBFC_TO_CF[f.lbfc].units
long_name = LBFC_TO_CF[f.lbfc].long_name
if f.lbuser[3] == 33:
references.append(ReferenceTarget('orography', None))
if f.lbuser[3] == 409 or f.lbuser[3] == 1:
references.append(ReferenceTarget('surface_air_pressure', None))
return (factories, references, standard_name, long_name, units, attributes,
cell_methods, dim_coords_and_dims, aux_coords_and_dims)
def _all_other_rules(f):
"""
This deals with all the other rules that have not been factored into any of
the other convert_scalar_coordinate functions above.
"""
references = []
standard_name = None
long_name = None
units = None
attributes = {}
cell_methods = []
dim_coords_and_dims = []
aux_coords_and_dims = []
# Season coordinates (--> scalar coordinates)
if (f.lbtim.ib == 3 and f.lbtim.ic in [1, 2, 4] and
(len(f.lbcode) != 5 or
(len(f.lbcode) == 5 and
(f.lbcode.ix not in [20, 21, 22, 23] and
f.lbcode.iy not in [20, 21, 22, 23]))) and
f.lbmon == 12 and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0 and
f.lbmond == 3 and f.lbdatd == 1 and f.lbhrd == 0 and
f.lbmind == 0):
aux_coords_and_dims.append(
(AuxCoord('djf', long_name='season', units='no_unit'),
None))
if (f.lbtim.ib == 3 and f.lbtim.ic in [1, 2, 4] and
((len(f.lbcode) != 5) or
(len(f.lbcode) == 5 and
f.lbcode.ix not in [20, 21, 22, 23]
and f.lbcode.iy not in [20, 21, 22, 23])) and
f.lbmon == 3 and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0 and
f.lbmond == 6 and f.lbdatd == 1 and f.lbhrd == 0 and
f.lbmind == 0):
aux_coords_and_dims.append(
(AuxCoord('mam', long_name='season', units='no_unit'),
None))
if (f.lbtim.ib == 3 and f.lbtim.ic in [1, 2, 4] and
((len(f.lbcode) != 5) or
(len(f.lbcode) == 5 and
f.lbcode.ix not in [20, 21, 22, 23] and
f.lbcode.iy not in [20, 21, 22, 23])) and
f.lbmon == 6 and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0 and
f.lbmond == 9 and f.lbdatd == 1 and f.lbhrd == 0 and
f.lbmind == 0):
aux_coords_and_dims.append(
(AuxCoord('jja', long_name='season', units='no_unit'),
None))
if (f.lbtim.ib == 3 and f.lbtim.ic in [1, 2, 4] and
((len(f.lbcode) != 5) or
(len(f.lbcode) == 5 and
f.lbcode.ix not in [20, 21, 22, 23] and
f.lbcode.iy not in [20, 21, 22, 23])) and
f.lbmon == 9 and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0 and
f.lbmond == 12 and f.lbdatd == 1 and f.lbhrd == 0 and
f.lbmind == 0):
aux_coords_and_dims.append(
(AuxCoord('son', long_name='season', units='no_unit'),
None))
# "Normal" (i.e. not cross-sectional) lats+lons (--> vector coordinates)
if (f.bdx != 0.0 and f.bdx != f.bmdi and len(f.lbcode) != 5 and
f.lbcode[0] == 1):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzx, f.bdx, f.lbnpt,
standard_name=f._x_coord_name(),
units='degrees',
circular=(f.lbhem in [0, 4]),
coord_system=f.coord_system()),
1))
if (f.bdx != 0.0 and f.bdx != f.bmdi and len(f.lbcode) != 5 and
f.lbcode[0] == 2):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzx, f.bdx, f.lbnpt,
standard_name=f._x_coord_name(),
units='degrees',
circular=(f.lbhem in [0, 4]),
coord_system=f.coord_system(),
with_bounds=True),
1))
if (f.bdy != 0.0 and f.bdy != f.bmdi and len(f.lbcode) != 5 and
f.lbcode[0] == 1):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzy, f.bdy, f.lbrow,
standard_name=f._y_coord_name(),
units='degrees',
coord_system=f.coord_system()),
0))
if (f.bdy != 0.0 and f.bdy != f.bmdi and len(f.lbcode) != 5 and
f.lbcode[0] == 2):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzy, f.bdy, f.lbrow,
standard_name=f._y_coord_name(),
units='degrees',
coord_system=f.coord_system(),
with_bounds=True),
0))
if ((f.bdy == 0.0 or f.bdy == f.bmdi) and
(len(f.lbcode) != 5 or
(len(f.lbcode) == 5 and f.lbcode.iy == 10))):
dim_coords_and_dims.append(
(DimCoord(f.y, standard_name=f._y_coord_name(), units='degrees',
bounds=f.y_bounds, coord_system=f.coord_system()),
0))
if ((f.bdx == 0.0 or f.bdx == f.bmdi) and
(len(f.lbcode) != 5 or
(len(f.lbcode) == 5 and f.lbcode.ix == 11))):
dim_coords_and_dims.append(
(DimCoord(f.x, standard_name=f._x_coord_name(), units='degrees',
bounds=f.x_bounds, circular=(f.lbhem in [0, 4]),
coord_system=f.coord_system()),
1))
# Cross-sectional vertical level types (--> vector coordinates)
if (len(f.lbcode) == 5 and f.lbcode.iy == 2 and
(f.bdy == 0 or f.bdy == f.bmdi)):
dim_coords_and_dims.append(
(DimCoord(f.y, standard_name='height', units='km',
bounds=f.y_bounds, attributes={'positive': 'up'}),
0))
if (len(f.lbcode) == 5 and f.lbcode[-1] == 1 and f.lbcode.iy == 4):
dim_coords_and_dims.append(
(DimCoord(f.y, standard_name='depth', units='m',
bounds=f.y_bounds, attributes={'positive': 'down'}),
0))
if (len(f.lbcode) == 5 and f.lbcode.ix == 10 and f.bdx != 0 and
f.bdx != f.bmdi):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzx, f.bdx, f.lbnpt,
standard_name=f._y_coord_name(),
units='degrees',
coord_system=f.coord_system()),
1))
if (len(f.lbcode) == 5 and
f.lbcode.iy == 1 and
(f.bdy == 0 or f.bdy == f.bmdi)):
dim_coords_and_dims.append(
(DimCoord(f.y, long_name='pressure', units='hPa',
bounds=f.y_bounds),
0))
if (len(f.lbcode) == 5 and f.lbcode.ix == 1 and
(f.bdx == 0 or f.bdx == f.bmdi)):
dim_coords_and_dims.append((DimCoord(f.x, long_name='pressure',
units='hPa', bounds=f.x_bounds),
1))
# Cross-sectional time values (--> vector coordinates)
if (len(f.lbcode) == 5 and f.lbcode[-1] == 1 and f.lbcode.iy == 23):
dim_coords_and_dims.append(
(DimCoord(
f.y,
standard_name='time',
units=Unit('days since 0000-01-01 00:00:00',
calendar=iris.unit.CALENDAR_360_DAY),
bounds=f.y_bounds),
0))
if (len(f.lbcode) == 5 and f.lbcode[-1] == 1 and f.lbcode.ix == 23):
dim_coords_and_dims.append(
(DimCoord(
f.x,
standard_name='time',
units=Unit('days since 0000-01-01 00:00:00',
calendar=iris.unit.CALENDAR_360_DAY),
bounds=f.x_bounds),
1))
# Site number (--> scalar coordinate)
if (len(f.lbcode) == 5 and f.lbcode[-1] == 1 and f.lbcode.ix == 13 and
f.bdx != 0):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzx, f.bdx, f.lbnpt,
long_name='site_number', units='1'),
1))
# Site number cross-sections (???)
if (len(f.lbcode) == 5 and
13 in [f.lbcode.ix, f.lbcode.iy] and
11 not in [f.lbcode.ix, f.lbcode.iy] and
hasattr(f, 'lower_x_domain') and
hasattr(f, 'upper_x_domain') and
all(f.lower_x_domain != -1.e+30) and
all(f.upper_x_domain != -1.e+30)):
aux_coords_and_dims.append(
(AuxCoord((f.lower_x_domain + f.upper_x_domain) / 2.0,
standard_name=f._x_coord_name(), units='degrees',
bounds=np.array([f.lower_x_domain, f.upper_x_domain]).T,
coord_system=f.coord_system()),
1 if f.lbcode.ix == 13 else 0))
if (len(f.lbcode) == 5 and
13 in [f.lbcode.ix, f.lbcode.iy] and
10 not in [f.lbcode.ix, f.lbcode.iy] and
hasattr(f, 'lower_y_domain') and
hasattr(f, 'upper_y_domain') and
all(f.lower_y_domain != -1.e+30) and
all(f.upper_y_domain != -1.e+30)):
aux_coords_and_dims.append(
(AuxCoord((f.lower_y_domain + f.upper_y_domain) / 2.0,
standard_name=f._y_coord_name(), units='degrees',
bounds=np.array([f.lower_y_domain, f.upper_y_domain]).T,
coord_system=f.coord_system()),
1 if f.lbcode.ix == 13 else 0))
# LBPROC codings (--> cell methods + attributes)
if f.lbproc == 128:
method = 'mean'
elif f.lbproc == 4096:
method = 'minimum'
elif f.lbproc == 8192:
method = 'maximum'
else:
method = None
if method is not None:
if f.lbtim.ia != 0:
intervals = '{} hour'.format(f.lbtim.ia)
else:
intervals = None
if f.lbtim.ib == 2:
# Aggregation over a period of time.
cell_methods.append(CellMethod(method,
coords='time',
intervals=intervals))
elif f.lbtim.ib == 3 and f.lbproc == 128:
# Aggregation over a period of time within a year, over a number
# of years.
# Only mean (lbproc of 128) is handled as the min/max
# interpretation is ambiguous e.g. decadal mean of daily max,
# decadal max of daily mean, decadal mean of max daily mean etc.
cell_methods.append(CellMethod('{} within years'.format(method),
coords='time',
intervals=intervals))
cell_methods.append(CellMethod('{} over years'.format(method),
coords='time'))
else:
# Generic cell method to indicate a time aggregation.
cell_methods.append(CellMethod(method,
coords='time'))
if f.lbproc not in [0, 128, 4096, 8192]:
attributes["ukmo__process_flags"] = tuple(sorted(
[name for value, name in iris.fileformats.pp.lbproc_map.iteritems()
if isinstance(value, int) and f.lbproc & value]))
if (f.lbsrce % 10000) == 1111:
attributes['source'] = 'Data from Met Office Unified Model'
# Also define MO-netCDF compliant UM version.
um_major = (f.lbsrce // 10000) // 100
if um_major != 0:
um_minor = (f.lbsrce // 10000) % 100
attributes['um_version'] = '{:d}.{:d}'.format(um_major, um_minor)
if (f.lbuser[6] != 0 or
(f.lbuser[3] // 1000) != 0 or
(f.lbuser[3] % 1000) != 0):
attributes['STASH'] = f.stash
if str(f.stash) in STASH_TO_CF:
standard_name = STASH_TO_CF[str(f.stash)].standard_name
units = STASH_TO_CF[str(f.stash)].units
long_name = STASH_TO_CF[str(f.stash)].long_name
if (not f.stash.is_valid and f.lbfc in LBFC_TO_CF):
standard_name = LBFC_TO_CF[f.lbfc].standard_name
units = LBFC_TO_CF[f.lbfc].units
long_name = LBFC_TO_CF[f.lbfc].long_name
# Orography reference field (--> reference target)
if f.lbuser[3] == 33:
references.append(ReferenceTarget('orography', None))
# Surface pressure reference field (--> reference target)
if f.lbuser[3] == 409 or f.lbuser[3] == 1:
references.append(ReferenceTarget('surface_air_pressure', None))
return (references, standard_name, long_name, units, attributes,
cell_methods, dim_coords_and_dims, aux_coords_and_dims)
def convert(f):
factories = []
references = []
standard_name = None
long_name = None
units = None
attributes = {}
cell_methods = []
dim_coords_and_dims = []
aux_coords_and_dims = []
if \
(f.lbtim.ia == 0) and \
(f.lbtim.ib == 0) and \
(f.lbtim.ic in [1, 2, 3, 4]) and \
(len(f.lbcode) != 5 or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])):
aux_coords_and_dims.append((DimCoord(f.time_unit('hours').date2num(f.t1), standard_name='time', units=f.time_unit('hours')), None))
if \
(f.lbtim.ia == 0) and \
(f.lbtim.ib == 1) and \
(f.lbtim.ic in [1, 2, 3, 4]) and \
(len(f.lbcode) != 5 or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])):
aux_coords_and_dims.append((DimCoord(f.time_unit('hours', f.t2).date2num(f.t1), standard_name='forecast_period', units='hours'), None))
aux_coords_and_dims.append((DimCoord(f.time_unit('hours').date2num(f.t1), standard_name='time', units=f.time_unit('hours')), None))
aux_coords_and_dims.append((DimCoord(f.time_unit('hours').date2num(f.t2), standard_name='forecast_reference_time', units=f.time_unit('hours')), None))
if \
(f.lbtim.ib == 2) and \
(f.lbtim.ic in [1, 2, 4]) and \
((len(f.lbcode) != 5) or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])):
t_unit = f.time_unit('hours')
t1_hours = t_unit.date2num(f.t1)
t2_hours = t_unit.date2num(f.t2)
period = t2_hours - t1_hours
aux_coords_and_dims.append((
DimCoord(standard_name='forecast_period', units='hours',
points=f.lbft - 0.5 * period,
bounds=[f.lbft - period, f.lbft]),
None))
aux_coords_and_dims.append((
DimCoord(standard_name='time', units=t_unit,
points=0.5 * (t1_hours + t2_hours),
bounds=[t1_hours, t2_hours]),
None))
aux_coords_and_dims.append((DimCoord(f.time_unit('hours').date2num(f.t2) - f.lbft, standard_name='forecast_reference_time', units=f.time_unit('hours')), None))
if \
(f.lbtim.ib == 3) and \
(f.lbtim.ic in [1, 2, 4]) and \
((len(f.lbcode) != 5) or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])):
t_unit = f.time_unit('hours')
t1_hours = t_unit.date2num(f.t1)
t2_hours = t_unit.date2num(f.t2)
period = t2_hours - t1_hours
aux_coords_and_dims.append((
DimCoord(standard_name='forecast_period', units='hours',
points=f.lbft, bounds=[f.lbft - period, f.lbft]),
None))
aux_coords_and_dims.append((
DimCoord(standard_name='time', units=t_unit,
points=t2_hours, bounds=[t1_hours, t2_hours]),
None))
aux_coords_and_dims.append((DimCoord(f.time_unit('hours').date2num(f.t2) - f.lbft, standard_name='forecast_reference_time', units=f.time_unit('hours')), None))
if \
(f.lbtim.ib == 3) and \
(f.lbtim.ic in [1, 2, 4]) and \
((len(f.lbcode) != 5) or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])) and \
(f.lbmon == 12 and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0) and \
(f.lbmond == 3 and f.lbdatd == 1 and f.lbhrd == 0 and f.lbmind == 0):
aux_coords_and_dims.append((AuxCoord('djf', long_name='season', units='no_unit'), None))
if \
(f.lbtim.ib == 3) and \
(f.lbtim.ic in [1, 2, 4]) and \
((len(f.lbcode) != 5) or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])) and \
(f.lbmon == 3 and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0) and \
(f.lbmond == 6 and f.lbdatd == 1 and f.lbhrd == 0 and f.lbmind == 0):
aux_coords_and_dims.append((AuxCoord('mam', long_name='season', units='no_unit'), None))
if \
(f.lbtim.ib == 3) and \
(f.lbtim.ic in [1, 2, 4]) and \
((len(f.lbcode) != 5) or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])) and \
(f.lbmon == 6 and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0) and \
(f.lbmond == 9 and f.lbdatd == 1 and f.lbhrd == 0 and f.lbmind == 0):
aux_coords_and_dims.append((AuxCoord('jja', long_name='season', units='no_unit'), None))
if \
(f.lbtim.ib == 3) and \
(f.lbtim.ic in [1, 2, 4]) and \
((len(f.lbcode) != 5) or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])) and \
(f.lbmon == 9 and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0) and \
(f.lbmond == 12 and f.lbdatd == 1 and f.lbhrd == 0 and f.lbmind == 0):
aux_coords_and_dims.append((AuxCoord('son', long_name='season', units='no_unit'), None))
if \
(f.bdx != 0.0) and \
(f.bdx != f.bmdi) and \
(len(f.lbcode) != 5) and \
(f.lbcode[0] == 1):
dim_coords_and_dims.append((DimCoord.from_regular(f.bzx, f.bdx, f.lbnpt, standard_name=f._x_coord_name(), units='degrees', circular=(f.lbhem in [0, 4]), coord_system=f.coord_system()), 1))
if \
(f.bdx != 0.0) and \
(f.bdx != f.bmdi) and \
(len(f.lbcode) != 5) and \
(f.lbcode[0] == 2):
dim_coords_and_dims.append((DimCoord.from_regular(f.bzx, f.bdx, f.lbnpt, standard_name=f._x_coord_name(), units='degrees', circular=(f.lbhem in [0, 4]), coord_system=f.coord_system(), with_bounds=True), 1))
if \
(f.bdy != 0.0) and \
(f.bdy != f.bmdi) and \
(len(f.lbcode) != 5) and \
(f.lbcode[0] == 1):
dim_coords_and_dims.append((DimCoord.from_regular(f.bzy, f.bdy, f.lbrow, standard_name=f._y_coord_name(), units='degrees', coord_system=f.coord_system()), 0))
if \
(f.bdy != 0.0) and \
(f.bdy != f.bmdi) and \
(len(f.lbcode) != 5) and \
(f.lbcode[0] == 2):
dim_coords_and_dims.append((DimCoord.from_regular(f.bzy, f.bdy, f.lbrow, standard_name=f._y_coord_name(), units='degrees', coord_system=f.coord_system(), with_bounds=True), 0))
if \
(f.bdy == 0.0 or f.bdy == f.bmdi) and \
(len(f.lbcode) != 5 or (len(f.lbcode) == 5 and f.lbcode.iy == 10)):
dim_coords_and_dims.append((DimCoord(f.y, standard_name=f._y_coord_name(), units='degrees', bounds=f.y_bounds, coord_system=f.coord_system()), 0))
if \
(f.bdx == 0.0 or f.bdx == f.bmdi) and \
(len(f.lbcode) != 5 or (len(f.lbcode) == 5 and f.lbcode.ix == 11)):
dim_coords_and_dims.append((DimCoord(f.x, standard_name=f._x_coord_name(), units='degrees', bounds=f.x_bounds, circular=(f.lbhem in [0, 4]), coord_system=f.coord_system()), 1))
if \
(len(f.lbcode) == 5) and \
(f.lbcode.iy == 2) and \
(f.bdy == 0 or f.bdy == f.bmdi):
dim_coords_and_dims.append((DimCoord(f.y, standard_name='height', units='km', bounds=f.y_bounds, attributes={'positive': 'up'}), 0))
if \
(len(f.lbcode) == 5) and \
(f.lbcode[-1] == 1) and \
(f.lbcode.iy == 4):
dim_coords_and_dims.append((DimCoord(f.y, standard_name='depth', units='m', bounds=f.y_bounds, attributes={'positive': 'down'}), 0))
if \
(len(f.lbcode) == 5) and \
(f.lbcode.ix == 10) and \
(f.bdx != 0) and \
(f.bdx != f.bmdi):
dim_coords_and_dims.append((DimCoord.from_regular(f.bzx, f.bdx, f.lbnpt, standard_name=f._y_coord_name(), units='degrees', coord_system=f.coord_system()), 1))
if \
(len(f.lbcode) == 5) and \
(f.lbcode.iy == 1) and \
(f.bdy == 0 or f.bdy == f.bmdi):
dim_coords_and_dims.append((DimCoord(f.y, long_name='pressure', units='hPa', bounds=f.y_bounds), 0))
if \
(len(f.lbcode) == 5) and \
(f.lbcode.ix == 1) and \
(f.bdx == 0 or f.bdx == f.bmdi):
dim_coords_and_dims.append((DimCoord(f.x, long_name='pressure', units='hPa', bounds=f.x_bounds), 1))
if \
(len(f.lbcode) == 5) and \
(f.lbcode[-1] == 1) and \
(f.lbcode.iy == 23):
dim_coords_and_dims.append((DimCoord(f.y, standard_name='time', units=iris.unit.Unit('days since 0000-01-01 00:00:00', calendar=iris.unit.CALENDAR_360_DAY), bounds=f.y_bounds), 0))
if \
(len(f.lbcode) == 5) and \
(f.lbcode[-1] == 1) and \
(f.lbcode.ix == 23):
dim_coords_and_dims.append((DimCoord(f.x, standard_name='time', units=iris.unit.Unit('days since 0000-01-01 00:00:00', calendar=iris.unit.CALENDAR_360_DAY), bounds=f.x_bounds), 1))
if \
(len(f.lbcode) == 5) and \
(f.lbcode[-1] == 1) and \
(f.lbcode.ix == 13) and \
(f.bdx != 0):
dim_coords_and_dims.append((DimCoord.from_regular(f.bzx, f.bdx, f.lbnpt, long_name='site_number', units='1'), 1))
if \
(len(f.lbcode) == 5) and \
(13 in [f.lbcode.ix, f.lbcode.iy]) and \
(11 not in [f.lbcode.ix, f.lbcode.iy]) and \
(hasattr(f, 'lower_x_domain')) and \
(hasattr(f, 'upper_x_domain')) and \
(all(f.lower_x_domain != -1.e+30)) and \
(all(f.upper_x_domain != -1.e+30)):
aux_coords_and_dims.append((AuxCoord((f.lower_x_domain + f.upper_x_domain) / 2.0, standard_name=f._x_coord_name(), units='degrees', bounds=np.array([f.lower_x_domain, f.upper_x_domain]).T, coord_system=f.coord_system()), 1 if f.lbcode.ix == 13 else 0))
if \
(len(f.lbcode) == 5) and \
(13 in [f.lbcode.ix, f.lbcode.iy]) and \
(10 not in [f.lbcode.ix, f.lbcode.iy]) and \
(hasattr(f, 'lower_y_domain')) and \
(hasattr(f, 'upper_y_domain')) and \
(all(f.lower_y_domain != -1.e+30)) and \
(all(f.upper_y_domain != -1.e+30)):
aux_coords_and_dims.append((AuxCoord((f.lower_y_domain + f.upper_y_domain) / 2.0, standard_name=f._y_coord_name(), units='degrees', bounds=np.array([f.lower_y_domain, f.upper_y_domain]).T, coord_system=f.coord_system()), 1 if f.lbcode.ix == 13 else 0))
if \
(f.lbproc == 128) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia == 0):
cell_methods.append(CellMethod("mean", coords="time"))
if \
(f.lbproc == 128) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia != 0):
cell_methods.append(CellMethod("mean", coords="time", intervals="%d hour" % f.lbtim.ia))
if \
(f.lbproc == 128) and \
(f.lbtim.ib == 3):
cell_methods.append(CellMethod("mean", coords="time"))
if \
(f.lbproc == 128) and \
(f.lbtim.ib not in [2, 3]):
cell_methods.append(CellMethod("mean", coords="time"))
if \
(f.lbproc == 4096) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia == 0):
cell_methods.append(CellMethod("minimum", coords="time"))
if \
(f.lbproc == 4096) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia != 0):
cell_methods.append(CellMethod("minimum", coords="time", intervals="%d hour" % f.lbtim.ia))
if \
(f.lbproc == 4096) and \
(f.lbtim.ib != 2):
cell_methods.append(CellMethod("minimum", coords="time"))
if \
(f.lbproc == 8192) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia == 0):
cell_methods.append(CellMethod("maximum", coords="time"))
if \
(f.lbproc == 8192) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia != 0):
cell_methods.append(CellMethod("maximum", coords="time", intervals="%d hour" % f.lbtim.ia))
if \
(f.lbproc == 8192) and \
(f.lbtim.ib != 2):
cell_methods.append(CellMethod("maximum", coords="time"))
if f.lbproc not in [0, 128, 4096, 8192]:
attributes["ukmo__process_flags"] = tuple(sorted([iris.fileformats.pp.lbproc_map[flag] for flag in f.lbproc.flags]))
if \
(f.lbvc == 1) and \
(not (str(f.stash) in ['m01s03i236', 'm01s03i237', 'm01s03i245', 'm01s03i247', 'm01s03i250'])) and \
(f.blev != -1):
aux_coords_and_dims.append((DimCoord(f.blev, standard_name='height', units='m', attributes={'positive': 'up'}), None))
if str(f.stash) in ['m01s03i236', 'm01s03i237', 'm01s03i245', 'm01s03i247', 'm01s03i250']:
aux_coords_and_dims.append((DimCoord(1.5, standard_name='height', units='m', attributes={'positive': 'up'}), None))
if \
(len(f.lbcode) != 5) and \
(f.lbvc == 2):
aux_coords_and_dims.append((DimCoord(_model_level_number(f), standard_name='model_level_number', attributes={'positive': 'down'}), None))
if \
(len(f.lbcode) != 5) and \
(f.lbvc == 2) and \
(f.brsvd[0] == f.brlev):
aux_coords_and_dims.append((DimCoord(f.blev, standard_name='depth', units='m', attributes={'positive': 'down'}), None))
if \
(len(f.lbcode) != 5) and \
(f.lbvc == 2) and \
(f.brsvd[0] != f.brlev):
aux_coords_and_dims.append((DimCoord(f.blev, standard_name='depth', units='m', bounds=[f.brsvd[0], f.brlev], attributes={'positive': 'down'}), None))
# soil level
if len(f.lbcode) != 5 and f.lbvc == 6:
aux_coords_and_dims.append((DimCoord(_model_level_number(f), long_name='soil_model_level_number', attributes={'positive': 'down'}), None))
if \
(f.lbvc == 8) and \
(len(f.lbcode) != 5 or (len(f.lbcode) == 5 and 1 not in [f.lbcode.ix, f.lbcode.iy])):
aux_coords_and_dims.append((DimCoord(f.blev, long_name='pressure', units='hPa'), None))
if \
(len(f.lbcode) != 5) and \
(f.lbvc == 19):
aux_coords_and_dims.append((DimCoord(f.blev, standard_name='air_potential_temperature', units='K', attributes={'positive': 'up'}), None))
# Hybrid pressure coordinate
if f.lbvc == 9:
model_level_number = DimCoord(_model_level_number(f),
standard_name='model_level_number',
attributes={'positive': 'up'})
# The following match the hybrid height scheme, but data has the
# blev and bhlev values the other way around.
#level_pressure = DimCoord(f.blev,
# long_name='level_pressure',
# units='Pa',
# bounds=[f.brlev, f.brsvd[0]])
#sigma = AuxCoord(f.bhlev,
# long_name='sigma',
# bounds=[f.bhrlev, f.brsvd[1]])
level_pressure = DimCoord(f.bhlev,
long_name='level_pressure',
units='Pa',
bounds=[f.bhrlev, f.brsvd[1]])
sigma = AuxCoord(f.blev,
long_name='sigma',
bounds=[f.brlev, f.brsvd[0]])
aux_coords_and_dims.extend([(model_level_number, None),
(level_pressure, None),
(sigma, None)])
factories.append(Factory(HybridPressureFactory,
[{'long_name': 'level_pressure'},
{'long_name': 'sigma'},
Reference('surface_air_pressure')]))
if f.lbvc == 65:
aux_coords_and_dims.append((DimCoord(_model_level_number(f), standard_name='model_level_number', attributes={'positive': 'up'}), None))
aux_coords_and_dims.append((DimCoord(f.blev, long_name='level_height', units='m', bounds=[f.brlev, f.brsvd[0]], attributes={'positive': 'up'}), None))
aux_coords_and_dims.append((AuxCoord(f.bhlev, long_name='sigma', bounds=[f.bhrlev, f.brsvd[1]]), None))
factories.append(Factory(HybridHeightFactory, [{'long_name': 'level_height'}, {'long_name': 'sigma'}, Reference('orography')]))
if f.lbrsvd[3] != 0:
aux_coords_and_dims.append((DimCoord(f.lbrsvd[3], standard_name='realization'), None))
if f.lbuser[4] != 0:
aux_coords_and_dims.append((DimCoord(f.lbuser[4], long_name='pseudo_level', units='1'), None))
if f.lbuser[6] == 1 and f.lbuser[3] == 5226:
standard_name = "precipitation_amount"
units = "kg m-2"
if \
(f.lbuser[6] == 2) and \
(f.lbuser[3] == 101):
standard_name = "sea_water_potential_temperature"
units = "Celsius"
if \
((f.lbsrce % 10000) == 1111) and \
((f.lbsrce / 10000) / 100.0 > 0):
attributes['source'] = 'Data from Met Office Unified Model %4.2f' % ((f.lbsrce / 10000) / 100.0)
if \
((f.lbsrce % 10000) == 1111) and \
((f.lbsrce / 10000) / 100.0 == 0):
attributes['source'] = 'Data from Met Office Unified Model'
if f.lbuser[6] != 0 or (f.lbuser[3] / 1000) != 0 or (f.lbuser[3] % 1000) != 0:
attributes['STASH'] = f.stash
if \
(f.lbuser[6] == 1) and \
(f.lbuser[3] == 4205):
standard_name = "mass_fraction_of_cloud_ice_in_air"
units = "1"
if \
(f.lbuser[6] == 1) and \
(f.lbuser[3] == 4206):
standard_name = "mass_fraction_of_cloud_liquid_water_in_air"
units = "1"
if \
(f.lbuser[6] == 1) and \
(f.lbuser[3] == 30204):
standard_name = "air_temperature"
units = "K"
if \
(f.lbuser[6] == 4) and \
(f.lbuser[3] == 6001):
standard_name = "sea_surface_wave_significant_height"
units = "m"
if str(f.stash) in STASH_TO_CF:
standard_name = STASH_TO_CF[str(f.stash)].standard_name
units = STASH_TO_CF[str(f.stash)].units
long_name = STASH_TO_CF[str(f.stash)].long_name
if \
(not f.stash.is_valid) and \
(f.lbfc in LBFC_TO_CF):
standard_name = LBFC_TO_CF[f.lbfc].standard_name
units = LBFC_TO_CF[f.lbfc].units
long_name = LBFC_TO_CF[f.lbfc].long_name
if f.lbuser[3] == 33:
references.append(ReferenceTarget('orography', None))
if f.lbuser[3] == 409 or f.lbuser[3] == 1:
references.append(ReferenceTarget('surface_air_pressure', None))
return (factories, references, standard_name, long_name, units, attributes,
cell_methods, dim_coords_and_dims, aux_coords_and_dims)
def _all_other_rules(f):
"""
This deals with all the other rules that have not been factored into any of
the other convert_scalar_coordinate functions above.
"""
references = []
standard_name = None
long_name = None
units = None
attributes = {}
cell_methods = []
dim_coords_and_dims = []
aux_coords_and_dims = []
# Season coordinates (--> scalar coordinates)
if (f.lbtim.ib == 3 and f.lbtim.ic in [1, 2, 4]
and (len(f.lbcode) != 5 or
(len(f.lbcode) == 5 and
(f.lbcode.ix not in [20, 21, 22, 23]
and f.lbcode.iy not in [20, 21, 22, 23]))) and f.lbmon == 12
and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0 and f.lbmond == 3
and f.lbdatd == 1 and f.lbhrd == 0 and f.lbmind == 0):
aux_coords_and_dims.append((AuxCoord('djf',
long_name='season',
units='no_unit'), None))
if (f.lbtim.ib == 3 and f.lbtim.ic in [1, 2, 4]
and ((len(f.lbcode) != 5) or
(len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23]
and f.lbcode.iy not in [20, 21, 22, 23])) and f.lbmon == 3
and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0 and f.lbmond == 6
and f.lbdatd == 1 and f.lbhrd == 0 and f.lbmind == 0):
aux_coords_and_dims.append((AuxCoord('mam',
long_name='season',
units='no_unit'), None))
if (f.lbtim.ib == 3 and f.lbtim.ic in [1, 2, 4]
and ((len(f.lbcode) != 5) or
(len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23]
and f.lbcode.iy not in [20, 21, 22, 23])) and f.lbmon == 6
and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0 and f.lbmond == 9
and f.lbdatd == 1 and f.lbhrd == 0 and f.lbmind == 0):
aux_coords_and_dims.append((AuxCoord('jja',
long_name='season',
units='no_unit'), None))
if (f.lbtim.ib == 3 and f.lbtim.ic in [1, 2, 4]
and ((len(f.lbcode) != 5) or
(len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23]
and f.lbcode.iy not in [20, 21, 22, 23])) and f.lbmon == 9
and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0
and f.lbmond == 12 and f.lbdatd == 1 and f.lbhrd == 0
and f.lbmind == 0):
aux_coords_and_dims.append((AuxCoord('son',
long_name='season',
units='no_unit'), None))
# Special case where year is zero and months match.
# Month coordinates (--> scalar coordinates)
if (f.lbtim.ib == 2 and f.lbtim.ic in [1, 2, 4]
and ((len(f.lbcode) != 5) or
(len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23]
and f.lbcode.iy not in [20, 21, 22, 23])) and f.lbyr == 0
and f.lbyrd == 0 and f.lbmon == f.lbmond):
aux_coords_and_dims.append((AuxCoord(f.lbmon,
long_name='month_number'), None))
aux_coords_and_dims.append((AuxCoord(calendar.month_abbr[f.lbmon],
long_name='month',
units='no_unit'), None))
aux_coords_and_dims.append((DimCoord(points=f.lbft,
standard_name='forecast_period',
units='hours'), None))
# "Normal" (i.e. not cross-sectional) lats+lons (--> vector coordinates)
if (f.bdx != 0.0 and f.bdx != f.bmdi and len(f.lbcode) != 5
and f.lbcode[0] == 1):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzx,
f.bdx,
f.lbnpt,
standard_name=f._x_coord_name(),
units='degrees',
circular=(f.lbhem in [0, 4]),
coord_system=f.coord_system()), 1))
if (f.bdx != 0.0 and f.bdx != f.bmdi and len(f.lbcode) != 5
and f.lbcode[0] == 2):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzx,
f.bdx,
f.lbnpt,
standard_name=f._x_coord_name(),
units='degrees',
circular=(f.lbhem in [0, 4]),
coord_system=f.coord_system(),
with_bounds=True), 1))
if (f.bdy != 0.0 and f.bdy != f.bmdi and len(f.lbcode) != 5
and f.lbcode[0] == 1):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzy,
f.bdy,
f.lbrow,
standard_name=f._y_coord_name(),
units='degrees',
coord_system=f.coord_system()), 0))
if (f.bdy != 0.0 and f.bdy != f.bmdi and len(f.lbcode) != 5
and f.lbcode[0] == 2):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzy,
f.bdy,
f.lbrow,
standard_name=f._y_coord_name(),
units='degrees',
coord_system=f.coord_system(),
with_bounds=True), 0))
if ((f.bdy == 0.0 or f.bdy == f.bmdi) and
(len(f.lbcode) != 5 or (len(f.lbcode) == 5 and f.lbcode.iy == 10))):
dim_coords_and_dims.append(
(DimCoord(f.y,
standard_name=f._y_coord_name(),
units='degrees',
bounds=f.y_bounds,
coord_system=f.coord_system()), 0))
if ((f.bdx == 0.0 or f.bdx == f.bmdi) and
(len(f.lbcode) != 5 or (len(f.lbcode) == 5 and f.lbcode.ix == 11))):
dim_coords_and_dims.append(
(DimCoord(f.x,
standard_name=f._x_coord_name(),
units='degrees',
bounds=f.x_bounds,
circular=(f.lbhem in [0, 4]),
coord_system=f.coord_system()), 1))
# Cross-sectional vertical level types (--> vector coordinates)
if (len(f.lbcode) == 5 and f.lbcode.iy == 2
and (f.bdy == 0 or f.bdy == f.bmdi)):
dim_coords_and_dims.append((DimCoord(f.y,
standard_name='height',
units='km',
bounds=f.y_bounds,
attributes={'positive':
'up'}), 0))
if (len(f.lbcode) == 5 and f.lbcode[-1] == 1 and f.lbcode.iy == 4):
dim_coords_and_dims.append((DimCoord(f.y,
standard_name='depth',
units='m',
bounds=f.y_bounds,
attributes={'positive':
'down'}), 0))
if (len(f.lbcode) == 5 and f.lbcode.ix == 10 and f.bdx != 0
and f.bdx != f.bmdi):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzx,
f.bdx,
f.lbnpt,
standard_name=f._y_coord_name(),
units='degrees',
coord_system=f.coord_system()), 1))
if (len(f.lbcode) == 5 and f.lbcode.iy == 1
and (f.bdy == 0 or f.bdy == f.bmdi)):
dim_coords_and_dims.append((DimCoord(f.y,
long_name='pressure',
units='hPa',
bounds=f.y_bounds), 0))
if (len(f.lbcode) == 5 and f.lbcode.ix == 1
and (f.bdx == 0 or f.bdx == f.bmdi)):
dim_coords_and_dims.append((DimCoord(f.x,
long_name='pressure',
units='hPa',
bounds=f.x_bounds), 1))
# Cross-sectional time values (--> vector coordinates)
if (len(f.lbcode) == 5 and f.lbcode[-1] == 1 and f.lbcode.iy == 23):
dim_coords_and_dims.append(
(DimCoord(f.y,
standard_name='time',
units=cf_units.Unit('days since 0000-01-01 00:00:00',
calendar=cf_units.CALENDAR_360_DAY),
bounds=f.y_bounds), 0))
if (len(f.lbcode) == 5 and f.lbcode[-1] == 1 and f.lbcode.ix == 23):
dim_coords_and_dims.append(
(DimCoord(f.x,
standard_name='time',
units=cf_units.Unit('days since 0000-01-01 00:00:00',
calendar=cf_units.CALENDAR_360_DAY),
bounds=f.x_bounds), 1))
if (len(f.lbcode) == 5 and f.lbcode[-1] == 3 and f.lbcode.iy == 23
and f.lbtim.ib == 2 and f.lbtim.ic == 2):
epoch_days_unit = cf_units.Unit('days since 0000-01-01 00:00:00',
calendar=cf_units.CALENDAR_360_DAY)
t1_epoch_days = epoch_days_unit.date2num(f.t1)
t2_epoch_days = epoch_days_unit.date2num(f.t2)
# The end time is exclusive, not inclusive.
dim_coords_and_dims.append((DimCoord(np.linspace(t1_epoch_days,
t2_epoch_days,
f.lbrow,
endpoint=False),
standard_name='time',
units=epoch_days_unit,
bounds=f.y_bounds), 0))
# Site number (--> scalar coordinate)
if (len(f.lbcode) == 5 and f.lbcode[-1] == 1 and f.lbcode.ix == 13
and f.bdx != 0):
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzx,
f.bdx,
f.lbnpt,
long_name='site_number',
units='1'), 1))
# Site number cross-sections (???)
if (len(f.lbcode) == 5 and 13 in [f.lbcode.ix, f.lbcode.iy]
and 11 not in [f.lbcode.ix, f.lbcode.iy]
and hasattr(f, 'lower_x_domain') and hasattr(f, 'upper_x_domain')
and all(f.lower_x_domain != -1.e+30)
and all(f.upper_x_domain != -1.e+30)):
aux_coords_and_dims.append((AuxCoord(
(f.lower_x_domain + f.upper_x_domain) / 2.0,
standard_name=f._x_coord_name(),
units='degrees',
bounds=np.array([f.lower_x_domain, f.upper_x_domain]).T,
coord_system=f.coord_system()), 1 if f.lbcode.ix == 13 else 0))
if (len(f.lbcode) == 5 and 13 in [f.lbcode.ix, f.lbcode.iy]
and 10 not in [f.lbcode.ix, f.lbcode.iy]
and hasattr(f, 'lower_y_domain') and hasattr(f, 'upper_y_domain')
and all(f.lower_y_domain != -1.e+30)
and all(f.upper_y_domain != -1.e+30)):
aux_coords_and_dims.append((AuxCoord(
(f.lower_y_domain + f.upper_y_domain) / 2.0,
standard_name=f._y_coord_name(),
units='degrees',
bounds=np.array([f.lower_y_domain, f.upper_y_domain]).T,
coord_system=f.coord_system()), 1 if f.lbcode.ix == 13 else 0))
# LBPROC codings (--> cell method + attributes)
unhandled_lbproc = True
zone_method = None
time_method = None
if f.lbproc == 0:
unhandled_lbproc = False
elif f.lbproc == 64:
zone_method = 'mean'
elif f.lbproc == 128:
time_method = 'mean'
elif f.lbproc == 4096:
time_method = 'minimum'
elif f.lbproc == 8192:
time_method = 'maximum'
elif f.lbproc == 192:
time_method = 'mean'
zone_method = 'mean'
if time_method is not None:
if f.lbtim.ia != 0:
intervals = '{} hour'.format(f.lbtim.ia)
else:
intervals = None
if f.lbtim.ib == 2:
# Aggregation over a period of time.
cell_methods.append(
CellMethod(time_method, coords='time', intervals=intervals))
unhandled_lbproc = False
elif f.lbtim.ib == 3 and f.lbproc == 128:
# Aggregation over a period of time within a year, over a number
# of years.
# Only mean (lbproc of 128) is handled as the min/max
# interpretation is ambiguous e.g. decadal mean of daily max,
# decadal max of daily mean, decadal mean of max daily mean etc.
cell_methods.append(
CellMethod('{} within years'.format(time_method),
coords='time',
intervals=intervals))
cell_methods.append(
CellMethod('{} over years'.format(time_method), coords='time'))
unhandled_lbproc = False
else:
# Generic cell method to indicate a time aggregation.
cell_methods.append(CellMethod(time_method, coords='time'))
unhandled_lbproc = False
if zone_method is not None:
if f.lbcode == 1:
cell_methods.append(CellMethod(zone_method, coords='longitude'))
unhandled_lbproc = False
elif f.lbcode == 101:
cell_methods.append(
CellMethod(zone_method, coords='grid_longitude'))
unhandled_lbproc = False
else:
unhandled_lbproc = True
if unhandled_lbproc:
attributes["ukmo__process_flags"] = tuple(
sorted([
name for value, name in six.iteritems(
iris.fileformats.pp.lbproc_map)
if isinstance(value, int) and f.lbproc & value
]))
if (f.lbsrce % 10000) == 1111:
attributes['source'] = 'Data from Met Office Unified Model'
# Also define MO-netCDF compliant UM version.
um_major = (f.lbsrce // 10000) // 100
if um_major != 0:
um_minor = (f.lbsrce // 10000) % 100
attributes['um_version'] = '{:d}.{:d}'.format(um_major, um_minor)
if (f.lbuser[6] != 0 or (f.lbuser[3] // 1000) != 0
or (f.lbuser[3] % 1000) != 0):
attributes['STASH'] = f.stash
if str(f.stash) in STASH_TO_CF:
standard_name = STASH_TO_CF[str(f.stash)].standard_name
units = STASH_TO_CF[str(f.stash)].units
long_name = STASH_TO_CF[str(f.stash)].long_name
if (not f.stash.is_valid and f.lbfc in LBFC_TO_CF):
standard_name = LBFC_TO_CF[f.lbfc].standard_name
units = LBFC_TO_CF[f.lbfc].units
long_name = LBFC_TO_CF[f.lbfc].long_name
# Orography reference field (--> reference target)
if f.lbuser[3] == 33:
references.append(ReferenceTarget('orography', None))
# Surface pressure reference field (--> reference target)
if f.lbuser[3] == 409 or f.lbuser[3] == 1:
references.append(ReferenceTarget('surface_air_pressure', None))
return (references, standard_name, long_name, units, attributes,
cell_methods, dim_coords_and_dims, aux_coords_and_dims)
def convert(f):
factories = []
references = []
standard_name = None
long_name = None
units = None
attributes = {}
cell_methods = []
dim_coords_and_dims = []
aux_coords_and_dims = []
# "Normal" (non-cross-sectional) Time values (--> scalar coordinates)
time_coords_and_dims = _convert_scalar_time_coords(
lbcode=f.lbcode, lbtim=f.lbtim,
epoch_hours_unit=f.time_unit('hours'),
t1=f.t1, t2=f.t2, lbft=f.lbft)
aux_coords_and_dims.extend(time_coords_and_dims)
# Season coordinates (--> scalar coordinates)
if \
(f.lbtim.ib == 3) and \
(f.lbtim.ic in [1, 2, 4]) and \
((len(f.lbcode) != 5) or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])) and \
(f.lbmon == 12 and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0) and \
(f.lbmond == 3 and f.lbdatd == 1 and f.lbhrd == 0 and f.lbmind == 0):
aux_coords_and_dims.append((AuxCoord('djf', long_name='season', units='no_unit'), None))
if \
(f.lbtim.ib == 3) and \
(f.lbtim.ic in [1, 2, 4]) and \
((len(f.lbcode) != 5) or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])) and \
(f.lbmon == 3 and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0) and \
(f.lbmond == 6 and f.lbdatd == 1 and f.lbhrd == 0 and f.lbmind == 0):
aux_coords_and_dims.append((AuxCoord('mam', long_name='season', units='no_unit'), None))
if \
(f.lbtim.ib == 3) and \
(f.lbtim.ic in [1, 2, 4]) and \
((len(f.lbcode) != 5) or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])) and \
(f.lbmon == 6 and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0) and \
(f.lbmond == 9 and f.lbdatd == 1 and f.lbhrd == 0 and f.lbmind == 0):
aux_coords_and_dims.append((AuxCoord('jja', long_name='season', units='no_unit'), None))
if \
(f.lbtim.ib == 3) and \
(f.lbtim.ic in [1, 2, 4]) and \
((len(f.lbcode) != 5) or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])) and \
(f.lbmon == 9 and f.lbdat == 1 and f.lbhr == 0 and f.lbmin == 0) and \
(f.lbmond == 12 and f.lbdatd == 1 and f.lbhrd == 0 and f.lbmind == 0):
aux_coords_and_dims.append((AuxCoord('son', long_name='season', units='no_unit'), None))
# "Normal" (i.e. not cross-sectional) lats+lons (--> vector coordinates)
if \
(f.bdx != 0.0) and \
(f.bdx != f.bmdi) and \
(len(f.lbcode) != 5) and \
(f.lbcode[0] == 1):
dim_coords_and_dims.append((DimCoord.from_regular(f.bzx, f.bdx, f.lbnpt, standard_name=f._x_coord_name(), units='degrees', circular=(f.lbhem in [0, 4]), coord_system=f.coord_system()), 1))
if \
(f.bdx != 0.0) and \
(f.bdx != f.bmdi) and \
(len(f.lbcode) != 5) and \
(f.lbcode[0] == 2):
dim_coords_and_dims.append((DimCoord.from_regular(f.bzx, f.bdx, f.lbnpt, standard_name=f._x_coord_name(), units='degrees', circular=(f.lbhem in [0, 4]), coord_system=f.coord_system(), with_bounds=True), 1))
if \
(f.bdy != 0.0) and \
(f.bdy != f.bmdi) and \
(len(f.lbcode) != 5) and \
(f.lbcode[0] == 1):
dim_coords_and_dims.append((DimCoord.from_regular(f.bzy, f.bdy, f.lbrow, standard_name=f._y_coord_name(), units='degrees', coord_system=f.coord_system()), 0))
if \
(f.bdy != 0.0) and \
(f.bdy != f.bmdi) and \
(len(f.lbcode) != 5) and \
(f.lbcode[0] == 2):
dim_coords_and_dims.append((DimCoord.from_regular(f.bzy, f.bdy, f.lbrow, standard_name=f._y_coord_name(), units='degrees', coord_system=f.coord_system(), with_bounds=True), 0))
if \
(f.bdy == 0.0 or f.bdy == f.bmdi) and \
(len(f.lbcode) != 5 or (len(f.lbcode) == 5 and f.lbcode.iy == 10)):
dim_coords_and_dims.append((DimCoord(f.y, standard_name=f._y_coord_name(), units='degrees', bounds=f.y_bounds, coord_system=f.coord_system()), 0))
if \
(f.bdx == 0.0 or f.bdx == f.bmdi) and \
(len(f.lbcode) != 5 or (len(f.lbcode) == 5 and f.lbcode.ix == 11)):
dim_coords_and_dims.append((DimCoord(f.x, standard_name=f._x_coord_name(), units='degrees', bounds=f.x_bounds, circular=(f.lbhem in [0, 4]), coord_system=f.coord_system()), 1))
# Cross-sectional vertical level types (--> vector coordinates)
if \
(len(f.lbcode) == 5) and \
(f.lbcode.iy == 2) and \
(f.bdy == 0 or f.bdy == f.bmdi):
dim_coords_and_dims.append((DimCoord(f.y, standard_name='height', units='km', bounds=f.y_bounds, attributes={'positive': 'up'}), 0))
if \
(len(f.lbcode) == 5) and \
(f.lbcode[-1] == 1) and \
(f.lbcode.iy == 4):
dim_coords_and_dims.append((DimCoord(f.y, standard_name='depth', units='m', bounds=f.y_bounds, attributes={'positive': 'down'}), 0))
if \
(len(f.lbcode) == 5) and \
(f.lbcode.ix == 10) and \
(f.bdx != 0) and \
(f.bdx != f.bmdi):
dim_coords_and_dims.append((DimCoord.from_regular(f.bzx, f.bdx, f.lbnpt, standard_name=f._y_coord_name(), units='degrees', coord_system=f.coord_system()), 1))
if \
(len(f.lbcode) == 5) and \
(f.lbcode.iy == 1) and \
(f.bdy == 0 or f.bdy == f.bmdi):
dim_coords_and_dims.append((DimCoord(f.y, long_name='pressure', units='hPa', bounds=f.y_bounds), 0))
if \
(len(f.lbcode) == 5) and \
(f.lbcode.ix == 1) and \
(f.bdx == 0 or f.bdx == f.bmdi):
dim_coords_and_dims.append((DimCoord(f.x, long_name='pressure', units='hPa', bounds=f.x_bounds), 1))
# Cross-sectional time values (--> vector coordinates)
if \
(len(f.lbcode) == 5) and \
(f.lbcode[-1] == 1) and \
(f.lbcode.iy == 23):
dim_coords_and_dims.append((DimCoord(f.y, standard_name='time', units=iris.unit.Unit('days since 0000-01-01 00:00:00', calendar=iris.unit.CALENDAR_360_DAY), bounds=f.y_bounds), 0))
if \
(len(f.lbcode) == 5) and \
(f.lbcode[-1] == 1) and \
(f.lbcode.ix == 23):
dim_coords_and_dims.append((DimCoord(f.x, standard_name='time', units=iris.unit.Unit('days since 0000-01-01 00:00:00', calendar=iris.unit.CALENDAR_360_DAY), bounds=f.x_bounds), 1))
# Site number (--> scalar coordinate)
if \
(len(f.lbcode) == 5) and \
(f.lbcode[-1] == 1) and \
(f.lbcode.ix == 13) and \
(f.bdx != 0):
dim_coords_and_dims.append((DimCoord.from_regular(f.bzx, f.bdx, f.lbnpt, long_name='site_number', units='1'), 1))
# Site number cross-sections (???)
if \
(len(f.lbcode) == 5) and \
(13 in [f.lbcode.ix, f.lbcode.iy]) and \
(11 not in [f.lbcode.ix, f.lbcode.iy]) and \
(hasattr(f, 'lower_x_domain')) and \
(hasattr(f, 'upper_x_domain')) and \
(all(f.lower_x_domain != -1.e+30)) and \
(all(f.upper_x_domain != -1.e+30)):
aux_coords_and_dims.append((AuxCoord((f.lower_x_domain + f.upper_x_domain) / 2.0, standard_name=f._x_coord_name(), units='degrees', bounds=np.array([f.lower_x_domain, f.upper_x_domain]).T, coord_system=f.coord_system()), 1 if f.lbcode.ix == 13 else 0))
if \
(len(f.lbcode) == 5) and \
(13 in [f.lbcode.ix, f.lbcode.iy]) and \
(10 not in [f.lbcode.ix, f.lbcode.iy]) and \
(hasattr(f, 'lower_y_domain')) and \
(hasattr(f, 'upper_y_domain')) and \
(all(f.lower_y_domain != -1.e+30)) and \
(all(f.upper_y_domain != -1.e+30)):
aux_coords_and_dims.append((AuxCoord((f.lower_y_domain + f.upper_y_domain) / 2.0, standard_name=f._y_coord_name(), units='degrees', bounds=np.array([f.lower_y_domain, f.upper_y_domain]).T, coord_system=f.coord_system()), 1 if f.lbcode.ix == 13 else 0))
# LBPROC codings (--> cell methods + attributes)
if \
(f.lbproc == 128) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia == 0):
cell_methods.append(CellMethod("mean", coords="time"))
if \
(f.lbproc == 128) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia != 0):
cell_methods.append(CellMethod("mean", coords="time", intervals="%d hour" % f.lbtim.ia))
if \
(f.lbproc == 128) and \
(f.lbtim.ib == 3):
cell_methods.append(CellMethod("mean", coords="time"))
if \
(f.lbproc == 128) and \
(f.lbtim.ib not in [2, 3]):
cell_methods.append(CellMethod("mean", coords="time"))
if \
(f.lbproc == 4096) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia == 0):
cell_methods.append(CellMethod("minimum", coords="time"))
if \
(f.lbproc == 4096) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia != 0):
cell_methods.append(CellMethod("minimum", coords="time", intervals="%d hour" % f.lbtim.ia))
if \
(f.lbproc == 4096) and \
(f.lbtim.ib != 2):
cell_methods.append(CellMethod("minimum", coords="time"))
if \
(f.lbproc == 8192) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia == 0):
cell_methods.append(CellMethod("maximum", coords="time"))
if \
(f.lbproc == 8192) and \
(f.lbtim.ib == 2) and \
(f.lbtim.ia != 0):
cell_methods.append(CellMethod("maximum", coords="time", intervals="%d hour" % f.lbtim.ia))
if \
(f.lbproc == 8192) and \
(f.lbtim.ib != 2):
cell_methods.append(CellMethod("maximum", coords="time"))
if f.lbproc not in [0, 128, 4096, 8192]:
attributes["ukmo__process_flags"] = tuple(sorted([iris.fileformats.pp.lbproc_map[flag] for flag in f.lbproc.flags]))
# "Normal" (non-cross-sectional) Vertical levels
# (--> scalar coordinates and factories)
vertical_coords_and_dims, vertical_factories = \
_convert_scalar_vertical_coords(
lbcode=f.lbcode,
lbvc=f.lbvc,
blev=f.blev,
lblev=f.lblev,
stash=f.stash,
bhlev=f.bhlev,
bhrlev=f.bhrlev,
brsvd1=f.brsvd[0],
brsvd2=f.brsvd[1],
brlev=f.brlev)
aux_coords_and_dims.extend(vertical_coords_and_dims)
factories.extend(vertical_factories)
# Realization (aka ensemble) (--> scalar coordinates)
aux_coords_and_dims.extend(_convert_scalar_realization_coords(
lbrsvd4=f.lbrsvd[3]))
# Pseudo-level coordinate (--> scalar coordinates)
aux_coords_and_dims.extend(_convert_scalar_pseudo_level_coords(
lbuser5=f.lbuser[4]))
if (f.lbsrce % 10000) == 1111:
attributes['source'] = 'Data from Met Office Unified Model'
# Also define MO-netCDF compliant UM version.
um_major = (f.lbsrce / 10000) / 100
if um_major != 0:
um_minor = (f.lbsrce / 10000) % 100
attributes['um_version'] = '{:d}.{:d}'.format(um_major, um_minor)
if f.lbuser[6] != 0 or (f.lbuser[3] / 1000) != 0 or (f.lbuser[3] % 1000) != 0:
attributes['STASH'] = f.stash
if str(f.stash) in STASH_TO_CF:
standard_name = STASH_TO_CF[str(f.stash)].standard_name
units = STASH_TO_CF[str(f.stash)].units
long_name = STASH_TO_CF[str(f.stash)].long_name
if \
(not f.stash.is_valid) and \
(f.lbfc in LBFC_TO_CF):
standard_name = LBFC_TO_CF[f.lbfc].standard_name
units = LBFC_TO_CF[f.lbfc].units
long_name = LBFC_TO_CF[f.lbfc].long_name
# Orography reference field (--> reference target)
if f.lbuser[3] == 33:
references.append(ReferenceTarget('orography', None))
# Surface pressure reference field (--> reference target)
if f.lbuser[3] == 409 or f.lbuser[3] == 1:
references.append(ReferenceTarget('surface_air_pressure', None))
return (factories, references, standard_name, long_name, units, attributes,
cell_methods, dim_coords_and_dims, aux_coords_and_dims)
def axis_coordinates(self):
"""Create iris DimCoord suitable for building a cube."""
return DimCoord.from_regular(**self.__dict__)
def _all_other_rules(f):
"""
This deals with all the other rules that have not been factored into any of
the other convert_scalar_coordinate functions above.
"""
references = []
standard_name = None
long_name = None
units = None
attributes = {}
cell_methods = []
dim_coords_and_dims = []
aux_coords_and_dims = []
# Season coordinates (--> scalar coordinates)
if (
f.lbtim.ib == 3
and f.lbtim.ic in [1, 2, 4]
and (
len(f.lbcode) != 5
or (
len(f.lbcode) == 5
and (
f.lbcode.ix not in [20, 21, 22, 23]
and f.lbcode.iy not in [20, 21, 22, 23]
)
)
)
and f.lbmon == 12
and f.lbdat == 1
and f.lbhr == 0
and f.lbmin == 0
and f.lbmond == 3
and f.lbdatd == 1
and f.lbhrd == 0
and f.lbmind == 0
):
aux_coords_and_dims.append(
(AuxCoord("djf", long_name="season", units="no_unit"), None)
)
if (
f.lbtim.ib == 3
and f.lbtim.ic in [1, 2, 4]
and (
(len(f.lbcode) != 5)
or (
len(f.lbcode) == 5
and f.lbcode.ix not in [20, 21, 22, 23]
and f.lbcode.iy not in [20, 21, 22, 23]
)
)
and f.lbmon == 3
and f.lbdat == 1
and f.lbhr == 0
and f.lbmin == 0
and f.lbmond == 6
and f.lbdatd == 1
and f.lbhrd == 0
and f.lbmind == 0
):
aux_coords_and_dims.append(
(AuxCoord("mam", long_name="season", units="no_unit"), None)
)
if (
f.lbtim.ib == 3
and f.lbtim.ic in [1, 2, 4]
and (
(len(f.lbcode) != 5)
or (
len(f.lbcode) == 5
and f.lbcode.ix not in [20, 21, 22, 23]
and f.lbcode.iy not in [20, 21, 22, 23]
)
)
and f.lbmon == 6
and f.lbdat == 1
and f.lbhr == 0
and f.lbmin == 0
and f.lbmond == 9
and f.lbdatd == 1
and f.lbhrd == 0
and f.lbmind == 0
):
aux_coords_and_dims.append(
(AuxCoord("jja", long_name="season", units="no_unit"), None)
)
if (
f.lbtim.ib == 3
and f.lbtim.ic in [1, 2, 4]
and (
(len(f.lbcode) != 5)
or (
len(f.lbcode) == 5
and f.lbcode.ix not in [20, 21, 22, 23]
and f.lbcode.iy not in [20, 21, 22, 23]
)
)
and f.lbmon == 9
and f.lbdat == 1
and f.lbhr == 0
and f.lbmin == 0
and f.lbmond == 12
and f.lbdatd == 1
and f.lbhrd == 0
and f.lbmind == 0
):
aux_coords_and_dims.append(
(AuxCoord("son", long_name="season", units="no_unit"), None)
)
# Special case where year is zero and months match.
# Month coordinates (--> scalar coordinates)
if (
f.lbtim.ib == 2
and f.lbtim.ic in [1, 2, 4]
and (
(len(f.lbcode) != 5)
or (
len(f.lbcode) == 5
and f.lbcode.ix not in [20, 21, 22, 23]
and f.lbcode.iy not in [20, 21, 22, 23]
)
)
and f.lbyr == 0
and f.lbyrd == 0
and f.lbmon == f.lbmond
):
aux_coords_and_dims.append(
(AuxCoord(f.lbmon, long_name="month_number"), None)
)
aux_coords_and_dims.append(
(
AuxCoord(
calendar.month_abbr[f.lbmon],
long_name="month",
units="no_unit",
),
None,
)
)
aux_coords_and_dims.append(
(
DimCoord(
points=f.lbft,
standard_name="forecast_period",
units="hours",
),
None,
)
)
# "Normal" (i.e. not cross-sectional) lats+lons (--> vector coordinates)
if (
f.bdx != 0.0
and f.bdx != f.bmdi
and len(f.lbcode) != 5
and f.lbcode[0] == 1
):
dim_coords_and_dims.append(
(
DimCoord.from_regular(
f.bzx,
f.bdx,
f.lbnpt,
standard_name=f._x_coord_name(),
units="degrees",
circular=(f.lbhem in [0, 4]),
coord_system=f.coord_system(),
),
1,
)
)
if (
f.bdx != 0.0
and f.bdx != f.bmdi
and len(f.lbcode) != 5
and f.lbcode[0] == 2
):
dim_coords_and_dims.append(
(
DimCoord.from_regular(
f.bzx,
f.bdx,
f.lbnpt,
standard_name=f._x_coord_name(),
units="degrees",
circular=(f.lbhem in [0, 4]),
coord_system=f.coord_system(),
with_bounds=True,
),
1,
)
)
if (
f.bdy != 0.0
and f.bdy != f.bmdi
and len(f.lbcode) != 5
and f.lbcode[0] == 1
):
dim_coords_and_dims.append(
(
DimCoord.from_regular(
f.bzy,
f.bdy,
f.lbrow,
standard_name=f._y_coord_name(),
units="degrees",
coord_system=f.coord_system(),
),
0,
)
)
if (
f.bdy != 0.0
and f.bdy != f.bmdi
and len(f.lbcode) != 5
and f.lbcode[0] == 2
):
dim_coords_and_dims.append(
(
DimCoord.from_regular(
f.bzy,
f.bdy,
f.lbrow,
standard_name=f._y_coord_name(),
units="degrees",
coord_system=f.coord_system(),
with_bounds=True,
),
0,
)
)
if (f.bdy == 0.0 or f.bdy == f.bmdi) and (
len(f.lbcode) != 5 or (len(f.lbcode) == 5 and f.lbcode.iy == 10)
):
dim_coords_and_dims.append(
(
DimCoord(
f.y,
standard_name=f._y_coord_name(),
units="degrees",
bounds=f.y_bounds,
coord_system=f.coord_system(),
),
0,
)
)
if (f.bdx == 0.0 or f.bdx == f.bmdi) and (
len(f.lbcode) != 5 or (len(f.lbcode) == 5 and f.lbcode.ix == 11)
):
dim_coords_and_dims.append(
(
DimCoord(
f.x,
standard_name=f._x_coord_name(),
units="degrees",
bounds=f.x_bounds,
circular=(f.lbhem in [0, 4]),
coord_system=f.coord_system(),
),
1,
)
)
# Cross-sectional vertical level types (--> vector coordinates)
if (
len(f.lbcode) == 5
and f.lbcode.iy == 2
and (f.bdy == 0 or f.bdy == f.bmdi)
):
dim_coords_and_dims.append(
(
DimCoord(
f.y,
standard_name="height",
units="km",
bounds=f.y_bounds,
attributes={"positive": "up"},
),
0,
)
)
if len(f.lbcode) == 5 and f.lbcode[-1] == 1 and f.lbcode.iy == 4:
dim_coords_and_dims.append(
(
DimCoord(
f.y,
standard_name="depth",
units="m",
bounds=f.y_bounds,
attributes={"positive": "down"},
),
0,
)
)
if (
len(f.lbcode) == 5
and f.lbcode.ix == 10
and f.bdx != 0
and f.bdx != f.bmdi
):
dim_coords_and_dims.append(
(
DimCoord.from_regular(
f.bzx,
f.bdx,
f.lbnpt,
standard_name=f._y_coord_name(),
units="degrees",
coord_system=f.coord_system(),
),
1,
)
)
if (
len(f.lbcode) == 5
and f.lbcode.iy == 1
and (f.bdy == 0 or f.bdy == f.bmdi)
):
dim_coords_and_dims.append(
(
DimCoord(
f.y, long_name="pressure", units="hPa", bounds=f.y_bounds
),
0,
)
)
if (
len(f.lbcode) == 5
and f.lbcode.ix == 1
and (f.bdx == 0 or f.bdx == f.bmdi)
):
dim_coords_and_dims.append(
(
DimCoord(
f.x, long_name="pressure", units="hPa", bounds=f.x_bounds
),
1,
)
)
# Cross-sectional time values (--> vector coordinates)
if len(f.lbcode) == 5 and f.lbcode[-1] == 1 and f.lbcode.iy == 23:
dim_coords_and_dims.append(
(
DimCoord(
f.y,
standard_name="time",
units=cf_units.Unit(
"days since 0000-01-01 00:00:00",
calendar=cf_units.CALENDAR_360_DAY,
),
bounds=f.y_bounds,
),
0,
)
)
if len(f.lbcode) == 5 and f.lbcode[-1] == 1 and f.lbcode.ix == 23:
dim_coords_and_dims.append(
(
DimCoord(
f.x,
standard_name="time",
units=cf_units.Unit(
"days since 0000-01-01 00:00:00",
calendar=cf_units.CALENDAR_360_DAY,
),
bounds=f.x_bounds,
),
1,
)
)
if (
len(f.lbcode) == 5
and f.lbcode[-1] == 3
and f.lbcode.iy == 23
and f.lbtim.ib == 2
and f.lbtim.ic == 2
):
epoch_days_unit = cf_units.Unit(
"days since 0000-01-01 00:00:00",
calendar=cf_units.CALENDAR_360_DAY,
)
t1_epoch_days = epoch_days_unit.date2num(f.t1)
t2_epoch_days = epoch_days_unit.date2num(f.t2)
# The end time is exclusive, not inclusive.
dim_coords_and_dims.append(
(
DimCoord(
np.linspace(
t1_epoch_days, t2_epoch_days, f.lbrow, endpoint=False
),
standard_name="time",
units=epoch_days_unit,
bounds=f.y_bounds,
),
0,
)
)
# Site number (--> scalar coordinate)
if (
len(f.lbcode) == 5
and f.lbcode[-1] == 1
and f.lbcode.ix == 13
and f.bdx != 0
):
dim_coords_and_dims.append(
(
DimCoord.from_regular(
f.bzx, f.bdx, f.lbnpt, long_name="site_number", units="1"
),
1,
)
)
# Site number cross-sections (???)
if (
len(f.lbcode) == 5
and 13 in [f.lbcode.ix, f.lbcode.iy]
and 11 not in [f.lbcode.ix, f.lbcode.iy]
and hasattr(f, "lower_x_domain")
and hasattr(f, "upper_x_domain")
and all(f.lower_x_domain != -1.0e30)
and all(f.upper_x_domain != -1.0e30)
):
aux_coords_and_dims.append(
(
AuxCoord(
(f.lower_x_domain + f.upper_x_domain) / 2.0,
standard_name=f._x_coord_name(),
units="degrees",
bounds=np.array([f.lower_x_domain, f.upper_x_domain]).T,
coord_system=f.coord_system(),
),
1 if f.lbcode.ix == 13 else 0,
)
)
if (
len(f.lbcode) == 5
and 13 in [f.lbcode.ix, f.lbcode.iy]
and 10 not in [f.lbcode.ix, f.lbcode.iy]
and hasattr(f, "lower_y_domain")
and hasattr(f, "upper_y_domain")
and all(f.lower_y_domain != -1.0e30)
and all(f.upper_y_domain != -1.0e30)
):
aux_coords_and_dims.append(
(
AuxCoord(
(f.lower_y_domain + f.upper_y_domain) / 2.0,
standard_name=f._y_coord_name(),
units="degrees",
bounds=np.array([f.lower_y_domain, f.upper_y_domain]).T,
coord_system=f.coord_system(),
),
1 if f.lbcode.ix == 13 else 0,
)
)
# LBPROC codings (--> cell method + attributes)
unhandled_lbproc = True
zone_method = None
time_method = None
if f.lbproc == 0:
unhandled_lbproc = False
elif f.lbproc == 64:
zone_method = "mean"
elif f.lbproc == 128:
time_method = "mean"
elif f.lbproc == 4096:
time_method = "minimum"
elif f.lbproc == 8192:
time_method = "maximum"
elif f.lbproc == 192:
time_method = "mean"
zone_method = "mean"
if time_method is not None:
if f.lbtim.ia != 0:
intervals = "{} hour".format(f.lbtim.ia)
else:
intervals = None
if f.lbtim.ib == 2:
# Aggregation over a period of time.
cell_methods.append(
CellMethod(time_method, coords="time", intervals=intervals)
)
unhandled_lbproc = False
elif f.lbtim.ib == 3 and f.lbproc == 128:
# Aggregation over a period of time within a year, over a number
# of years.
# Only mean (lbproc of 128) is handled as the min/max
# interpretation is ambiguous e.g. decadal mean of daily max,
# decadal max of daily mean, decadal mean of max daily mean etc.
cell_methods.append(
CellMethod(
"{} within years".format(time_method),
coords="time",
intervals=intervals,
)
)
cell_methods.append(
CellMethod("{} over years".format(time_method), coords="time")
)
unhandled_lbproc = False
else:
# Generic cell method to indicate a time aggregation.
cell_methods.append(CellMethod(time_method, coords="time"))
unhandled_lbproc = False
if zone_method is not None:
if f.lbcode == 1:
cell_methods.append(CellMethod(zone_method, coords="longitude"))
for coord, _dim in dim_coords_and_dims:
if coord.standard_name == "longitude":
if len(coord.points) == 1:
coord.bounds = np.array([0.0, 360.0], dtype=np.float32)
else:
coord.guess_bounds()
unhandled_lbproc = False
elif f.lbcode == 101:
cell_methods.append(
CellMethod(zone_method, coords="grid_longitude")
)
for coord, _dim in dim_coords_and_dims:
if coord.standard_name == "grid_longitude":
if len(coord.points) == 1:
coord.bounds = np.array([0.0, 360.0], dtype=np.float32)
else:
coord.guess_bounds()
unhandled_lbproc = False
else:
unhandled_lbproc = True
if unhandled_lbproc:
attributes["ukmo__process_flags"] = tuple(
sorted(
[
name
for value, name in LBPROC_MAP.items()
if isinstance(value, int) and f.lbproc & value
]
)
)
if (f.lbsrce % 10000) == 1111:
attributes["source"] = "Data from Met Office Unified Model"
# Also define MO-netCDF compliant UM version.
um_major = (f.lbsrce // 10000) // 100
if um_major != 0:
um_minor = (f.lbsrce // 10000) % 100
attributes["um_version"] = "{:d}.{:d}".format(um_major, um_minor)
if (
f.lbuser[6] != 0
or (f.lbuser[3] // 1000) != 0
or (f.lbuser[3] % 1000) != 0
):
attributes["STASH"] = f.stash
if str(f.stash) in STASH_TO_CF:
standard_name = STASH_TO_CF[str(f.stash)].standard_name
units = STASH_TO_CF[str(f.stash)].units
long_name = STASH_TO_CF[str(f.stash)].long_name
if not f.stash.is_valid and f.lbfc in LBFC_TO_CF:
standard_name = LBFC_TO_CF[f.lbfc].standard_name
units = LBFC_TO_CF[f.lbfc].units
long_name = LBFC_TO_CF[f.lbfc].long_name
# Orography reference field (--> reference target)
if f.lbuser[3] == 33:
references.append(ReferenceTarget("orography", None))
# Surface pressure reference field (--> reference target)
if f.lbuser[3] == 409 or f.lbuser[3] == 1:
references.append(ReferenceTarget("surface_air_pressure", None))
return (
references,
standard_name,
long_name,
units,
attributes,
cell_methods,
dim_coords_and_dims,
aux_coords_and_dims,
)
def _all_other_rules(f):
"""
This deals with all the other rules that have not been factored into any of
the other convert_scalar_coordinate functions above.
"""
references = []
standard_name = None
long_name = None
units = None
attributes = {}
cell_methods = []
dim_coords_and_dims = []
aux_coords_and_dims = []
# Season coordinates (--> scalar coordinates)
if (
f.lbtim.ib == 3
and f.lbtim.ic in [1, 2, 4]
and (
len(f.lbcode) != 5
or (len(f.lbcode) == 5 and (f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23]))
)
and f.lbmon == 12
and f.lbdat == 1
and f.lbhr == 0
and f.lbmin == 0
and f.lbmond == 3
and f.lbdatd == 1
and f.lbhrd == 0
and f.lbmind == 0
):
aux_coords_and_dims.append((AuxCoord("djf", long_name="season", units="no_unit"), None))
if (
f.lbtim.ib == 3
and f.lbtim.ic in [1, 2, 4]
and (
(len(f.lbcode) != 5)
or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])
)
and f.lbmon == 3
and f.lbdat == 1
and f.lbhr == 0
and f.lbmin == 0
and f.lbmond == 6
and f.lbdatd == 1
and f.lbhrd == 0
and f.lbmind == 0
):
aux_coords_and_dims.append((AuxCoord("mam", long_name="season", units="no_unit"), None))
if (
f.lbtim.ib == 3
and f.lbtim.ic in [1, 2, 4]
and (
(len(f.lbcode) != 5)
or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])
)
and f.lbmon == 6
and f.lbdat == 1
and f.lbhr == 0
and f.lbmin == 0
and f.lbmond == 9
and f.lbdatd == 1
and f.lbhrd == 0
and f.lbmind == 0
):
aux_coords_and_dims.append((AuxCoord("jja", long_name="season", units="no_unit"), None))
if (
f.lbtim.ib == 3
and f.lbtim.ic in [1, 2, 4]
and (
(len(f.lbcode) != 5)
or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])
)
and f.lbmon == 9
and f.lbdat == 1
and f.lbhr == 0
and f.lbmin == 0
and f.lbmond == 12
and f.lbdatd == 1
and f.lbhrd == 0
and f.lbmind == 0
):
aux_coords_and_dims.append((AuxCoord("son", long_name="season", units="no_unit"), None))
# Special case where year is zero and months match.
# Month coordinates (--> scalar coordinates)
if (
f.lbtim.ib == 2
and f.lbtim.ic in [1, 2, 4]
and (
(len(f.lbcode) != 5)
or (len(f.lbcode) == 5 and f.lbcode.ix not in [20, 21, 22, 23] and f.lbcode.iy not in [20, 21, 22, 23])
)
and f.lbyr == 0
and f.lbyrd == 0
and f.lbmon == f.lbmond
):
aux_coords_and_dims.append((AuxCoord(f.lbmon, long_name="month_number"), None))
aux_coords_and_dims.append((AuxCoord(calendar.month_abbr[f.lbmon], long_name="month", units="no_unit"), None))
aux_coords_and_dims.append((DimCoord(points=f.lbft, standard_name="forecast_period", units="hours"), None))
# "Normal" (i.e. not cross-sectional) lats+lons (--> vector coordinates)
if f.bdx != 0.0 and f.bdx != f.bmdi and len(f.lbcode) != 5 and f.lbcode[0] == 1:
dim_coords_and_dims.append(
(
DimCoord.from_regular(
f.bzx,
f.bdx,
f.lbnpt,
standard_name=f._x_coord_name(),
units="degrees",
circular=(f.lbhem in [0, 4]),
coord_system=f.coord_system(),
),
1,
)
)
if f.bdx != 0.0 and f.bdx != f.bmdi and len(f.lbcode) != 5 and f.lbcode[0] == 2:
dim_coords_and_dims.append(
(
DimCoord.from_regular(
f.bzx,
f.bdx,
f.lbnpt,
standard_name=f._x_coord_name(),
units="degrees",
circular=(f.lbhem in [0, 4]),
coord_system=f.coord_system(),
with_bounds=True,
),
1,
)
)
if f.bdy != 0.0 and f.bdy != f.bmdi and len(f.lbcode) != 5 and f.lbcode[0] == 1:
dim_coords_and_dims.append(
(
DimCoord.from_regular(
f.bzy,
f.bdy,
f.lbrow,
standard_name=f._y_coord_name(),
units="degrees",
coord_system=f.coord_system(),
),
0,
)
)
if f.bdy != 0.0 and f.bdy != f.bmdi and len(f.lbcode) != 5 and f.lbcode[0] == 2:
dim_coords_and_dims.append(
(
DimCoord.from_regular(
f.bzy,
f.bdy,
f.lbrow,
standard_name=f._y_coord_name(),
units="degrees",
coord_system=f.coord_system(),
with_bounds=True,
),
0,
)
)
if (f.bdy == 0.0 or f.bdy == f.bmdi) and (len(f.lbcode) != 5 or (len(f.lbcode) == 5 and f.lbcode.iy == 10)):
dim_coords_and_dims.append(
(
DimCoord(
f.y,
standard_name=f._y_coord_name(),
units="degrees",
bounds=f.y_bounds,
coord_system=f.coord_system(),
),
0,
)
)
if (f.bdx == 0.0 or f.bdx == f.bmdi) and (len(f.lbcode) != 5 or (len(f.lbcode) == 5 and f.lbcode.ix == 11)):
dim_coords_and_dims.append(
(
DimCoord(
f.x,
standard_name=f._x_coord_name(),
units="degrees",
bounds=f.x_bounds,
circular=(f.lbhem in [0, 4]),
coord_system=f.coord_system(),
),
1,
)
)
# Cross-sectional vertical level types (--> vector coordinates)
if len(f.lbcode) == 5 and f.lbcode.iy == 2 and (f.bdy == 0 or f.bdy == f.bmdi):
dim_coords_and_dims.append(
(DimCoord(f.y, standard_name="height", units="km", bounds=f.y_bounds, attributes={"positive": "up"}), 0)
)
if len(f.lbcode) == 5 and f.lbcode[-1] == 1 and f.lbcode.iy == 4:
dim_coords_and_dims.append(
(DimCoord(f.y, standard_name="depth", units="m", bounds=f.y_bounds, attributes={"positive": "down"}), 0)
)
if len(f.lbcode) == 5 and f.lbcode.ix == 10 and f.bdx != 0 and f.bdx != f.bmdi:
dim_coords_and_dims.append(
(
DimCoord.from_regular(
f.bzx,
f.bdx,
f.lbnpt,
standard_name=f._y_coord_name(),
units="degrees",
coord_system=f.coord_system(),
),
1,
)
)
if len(f.lbcode) == 5 and f.lbcode.iy == 1 and (f.bdy == 0 or f.bdy == f.bmdi):
dim_coords_and_dims.append((DimCoord(f.y, long_name="pressure", units="hPa", bounds=f.y_bounds), 0))
if len(f.lbcode) == 5 and f.lbcode.ix == 1 and (f.bdx == 0 or f.bdx == f.bmdi):
dim_coords_and_dims.append((DimCoord(f.x, long_name="pressure", units="hPa", bounds=f.x_bounds), 1))
# Cross-sectional time values (--> vector coordinates)
if len(f.lbcode) == 5 and f.lbcode[-1] == 1 and f.lbcode.iy == 23:
dim_coords_and_dims.append(
(
DimCoord(
f.y,
standard_name="time",
units=cf_units.Unit("days since 0000-01-01 00:00:00", calendar=cf_units.CALENDAR_360_DAY),
bounds=f.y_bounds,
),
0,
)
)
if len(f.lbcode) == 5 and f.lbcode[-1] == 1 and f.lbcode.ix == 23:
dim_coords_and_dims.append(
(
DimCoord(
f.x,
standard_name="time",
units=cf_units.Unit("days since 0000-01-01 00:00:00", calendar=cf_units.CALENDAR_360_DAY),
bounds=f.x_bounds,
),
1,
)
)
if len(f.lbcode) == 5 and f.lbcode[-1] == 3 and f.lbcode.iy == 23 and f.lbtim.ib == 2 and f.lbtim.ic == 2:
epoch_days_unit = cf_units.Unit("days since 0000-01-01 00:00:00", calendar=cf_units.CALENDAR_360_DAY)
t1_epoch_days = epoch_days_unit.date2num(f.t1)
t2_epoch_days = epoch_days_unit.date2num(f.t2)
# The end time is exclusive, not inclusive.
dim_coords_and_dims.append(
(
DimCoord(
np.linspace(t1_epoch_days, t2_epoch_days, f.lbrow, endpoint=False),
standard_name="time",
units=epoch_days_unit,
bounds=f.y_bounds,
),
0,
)
)
# Site number (--> scalar coordinate)
if len(f.lbcode) == 5 and f.lbcode[-1] == 1 and f.lbcode.ix == 13 and f.bdx != 0:
dim_coords_and_dims.append(
(DimCoord.from_regular(f.bzx, f.bdx, f.lbnpt, long_name="site_number", units="1"), 1)
)
# Site number cross-sections (???)
if (
len(f.lbcode) == 5
and 13 in [f.lbcode.ix, f.lbcode.iy]
and 11 not in [f.lbcode.ix, f.lbcode.iy]
and hasattr(f, "lower_x_domain")
and hasattr(f, "upper_x_domain")
and all(f.lower_x_domain != -1.0e30)
and all(f.upper_x_domain != -1.0e30)
):
aux_coords_and_dims.append(
(
AuxCoord(
(f.lower_x_domain + f.upper_x_domain) / 2.0,
standard_name=f._x_coord_name(),
units="degrees",
bounds=np.array([f.lower_x_domain, f.upper_x_domain]).T,
coord_system=f.coord_system(),
),
1 if f.lbcode.ix == 13 else 0,
)
)
if (
len(f.lbcode) == 5
and 13 in [f.lbcode.ix, f.lbcode.iy]
and 10 not in [f.lbcode.ix, f.lbcode.iy]
and hasattr(f, "lower_y_domain")
and hasattr(f, "upper_y_domain")
and all(f.lower_y_domain != -1.0e30)
and all(f.upper_y_domain != -1.0e30)
):
aux_coords_and_dims.append(
(
AuxCoord(
(f.lower_y_domain + f.upper_y_domain) / 2.0,
standard_name=f._y_coord_name(),
units="degrees",
bounds=np.array([f.lower_y_domain, f.upper_y_domain]).T,
coord_system=f.coord_system(),
),
1 if f.lbcode.ix == 13 else 0,
)
)
# LBPROC codings (--> cell method + attributes)
unhandled_lbproc = True
zone_method = None
time_method = None
if f.lbproc == 0:
unhandled_lbproc = False
elif f.lbproc == 64:
zone_method = "mean"
elif f.lbproc == 128:
time_method = "mean"
elif f.lbproc == 4096:
time_method = "minimum"
elif f.lbproc == 8192:
time_method = "maximum"
elif f.lbproc == 192:
time_method = "mean"
zone_method = "mean"
if time_method is not None:
if f.lbtim.ia != 0:
intervals = "{} hour".format(f.lbtim.ia)
else:
intervals = None
if f.lbtim.ib == 2:
# Aggregation over a period of time.
cell_methods.append(CellMethod(time_method, coords="time", intervals=intervals))
unhandled_lbproc = False
elif f.lbtim.ib == 3 and f.lbproc == 128:
# Aggregation over a period of time within a year, over a number
# of years.
# Only mean (lbproc of 128) is handled as the min/max
# interpretation is ambiguous e.g. decadal mean of daily max,
# decadal max of daily mean, decadal mean of max daily mean etc.
cell_methods.append(CellMethod("{} within years".format(time_method), coords="time", intervals=intervals))
cell_methods.append(CellMethod("{} over years".format(time_method), coords="time"))
unhandled_lbproc = False
else:
# Generic cell method to indicate a time aggregation.
cell_methods.append(CellMethod(time_method, coords="time"))
unhandled_lbproc = False
if zone_method is not None:
if f.lbcode == 1:
cell_methods.append(CellMethod(zone_method, coords="longitude"))
unhandled_lbproc = False
elif f.lbcode == 101:
cell_methods.append(CellMethod(zone_method, coords="grid_longitude"))
unhandled_lbproc = False
else:
unhandled_lbproc = True
if unhandled_lbproc:
attributes["ukmo__process_flags"] = tuple(
sorted(
[
name
for value, name in six.iteritems(iris.fileformats.pp.lbproc_map)
if isinstance(value, int) and f.lbproc & value
]
)
)
if (f.lbsrce % 10000) == 1111:
attributes["source"] = "Data from Met Office Unified Model"
# Also define MO-netCDF compliant UM version.
um_major = (f.lbsrce // 10000) // 100
if um_major != 0:
um_minor = (f.lbsrce // 10000) % 100
attributes["um_version"] = "{:d}.{:d}".format(um_major, um_minor)
if f.lbuser[6] != 0 or (f.lbuser[3] // 1000) != 0 or (f.lbuser[3] % 1000) != 0:
attributes["STASH"] = f.stash
if str(f.stash) in STASH_TO_CF:
standard_name = STASH_TO_CF[str(f.stash)].standard_name
units = STASH_TO_CF[str(f.stash)].units
long_name = STASH_TO_CF[str(f.stash)].long_name
if not f.stash.is_valid and f.lbfc in LBFC_TO_CF:
standard_name = LBFC_TO_CF[f.lbfc].standard_name
units = LBFC_TO_CF[f.lbfc].units
long_name = LBFC_TO_CF[f.lbfc].long_name
# Orography reference field (--> reference target)
if f.lbuser[3] == 33:
references.append(ReferenceTarget("orography", None))
# Surface pressure reference field (--> reference target)
if f.lbuser[3] == 409 or f.lbuser[3] == 1:
references.append(ReferenceTarget("surface_air_pressure", None))
return (
references,
standard_name,
long_name,
units,
attributes,
cell_methods,
dim_coords_and_dims,
aux_coords_and_dims,
)
def test_apply_filter_with_safety_mask_enabled(self):
# create cube with just one field and some QC flags
latitude = DimCoord.from_regular(zeroth=-45.0,
step=5.0,
count=3,
var_name='right_latitude',
circular=False)
longitude = DimCoord.from_regular(zeroth=-10.0,
step=5.0,
count=5,
var_name='right_longitude',
circular=False)
axes_coordinates = [(latitude, 0), (longitude, 1)]
fielddimensions = (len(latitude.points), len(longitude.points))
# a set of data (all flagged as valid)
zerodata = numpy.ma.masked_array(data=numpy.zeros(fielddimensions,
dtype=numpy.float32),
mask=numpy.zeros(fielddimensions,
dtype=numpy.bool))
# faulty coordinates with non overlapping mask
wrong_latitude = numpy.array(
[[0, ERRORVALUE, 3, 7, 2], [1, 0, ERRORVALUE, ERRORVALUE, 3],
[7, 2, 6, 3, ERRORVALUE]], numpy.float32)
wrong_longitude = numpy.array(
[[ERRORVALUE, 1, 3, 7, ERRORVALUE], [1, 0, 8, 3, 3],
[7, 2, 6, ERRORVALUE, 1]], numpy.float32)
# example of QC flags
qc = numpy.array([[0, 1, 3, 7, 2], [1, 0, 8, 3, 3], [7, 2, 6, 3, 1]],
numpy.int32)
# build into cube
cube = Cube(zerodata,
var_name='EXAMPLE',
dim_coords_and_dims=axes_coordinates)
cube.add_aux_coord(AuxCoord(qc, var_name='QC'), data_dims=(0, 1))
cube.add_aux_coord(AuxCoord(wrong_latitude, var_name='latitude'),
data_dims=(0, 1))
cube.add_aux_coord(AuxCoord(wrong_longitude, var_name='longitude'),
data_dims=(0, 1))
# copies of cube for tests
collection_a = SatelliteCollection(
TestSatelliteCollection.FieldNamesForTest(), cube.copy())
collection_b = SatelliteCollection(
TestSatelliteCollection.FieldNamesForTest(), cube.copy())
collection_c = SatelliteCollection(
TestSatelliteCollection.FieldNamesForTest(), cube.copy())
# run with different filters
collection_a.generate_safety_mask()
collection_b.generate_safety_mask()
collection_c.generate_safety_mask()
collection_a.apply_filter(
collection_a.get_filter_from_qc_flags(qc_mask=0xFFFF,
qc_filter=0x0008))
numpy.testing.assert_equal(
numpy.array([[True, True, True, True, True],
[True, True, True, True, True],
[True, True, True, True, True]]),
collection_a.cube.data.mask)
collection_b.apply_filter(
collection_b.get_filter_from_qc_flags(qc_mask=0x0004,
qc_filter=0x0004))
numpy.testing.assert_equal(
numpy.array([[True, True, True, False, True],
[True, True, True, True, True],
[False, True, False, True, True]]),
collection_b.cube.data.mask)
collection_c.apply_filter(
collection_c.get_filter_from_qc_flags(qc_mask=0x0003,
qc_filter=0x0002))
numpy.testing.assert_equal(
numpy.array([[True, True, True, True, True],
[True, True, True, True, True],
[True, False, False, True, True]]),
collection_c.cube.data.mask)
def test_generate_safety_mask(self):
# create cube with just one field and some QC flags
latitude = DimCoord.from_regular(zeroth=-45.0,
step=5.0,
count=3,
var_name='right_latitude',
circular=False)
longitude = DimCoord.from_regular(zeroth=-10.0,
step=5.0,
count=5,
var_name='right_longitude',
circular=False)
axes_coordinates = [(latitude, 0), (longitude, 1)]
fielddimensions = (len(latitude.points), len(longitude.points))
# a set of data (all flagged as valid)
zerodata = numpy.ma.masked_array(data=numpy.zeros(fielddimensions,
dtype=numpy.float32),
mask=numpy.zeros(fielddimensions,
dtype=numpy.bool))
# faulty coordinates with non overlapping mask
wrong_latitude = numpy.array(
[[0, ERRORVALUE, 3, 7, 2], [1, 0, ERRORVALUE, ERRORVALUE, 3],
[7, 2, 6, 3, ERRORVALUE]], numpy.float32)
wrong_longitude = numpy.array(
[[ERRORVALUE, 1, 3, 7, ERRORVALUE], [1, 0, 8, 3, 3],
[7, 2, 6, ERRORVALUE, 1]], numpy.float32)
# build into cube
cube = Cube(zerodata,
var_name='EXAMPLE',
dim_coords_and_dims=axes_coordinates)
cube.add_aux_coord(AuxCoord(wrong_latitude, var_name='latitude'),
data_dims=(0, 1))
cube.add_aux_coord(AuxCoord(wrong_longitude, var_name='longitude'),
data_dims=(0, 1))
# copies of cube for tests
collection = SatelliteCollection(
TestSatelliteCollection.FieldNamesForTest(), cube.copy())
# input coordinates with non overlapping masks
collection.generate_safety_mask()
numpy.testing.assert_equal(
numpy.array([[True, True, False, False, True],
[False, False, True, True, False],
[False, False, False, True, True]]),
collection.safety_mask)
# faulty coordinates with overlapping mask
wrong_latitude = numpy.array(
[[ERRORVALUE, 1, 3, 7, ERRORVALUE], [1, 0, 2, 4, 3],
[7, 2, 6, ERRORVALUE, 1]], numpy.float32)
wrong_longitude = numpy.array(
[[ERRORVALUE, 1, 3, 7, ERRORVALUE], [1, 0, 8, 3, 3],
[7, 2, 6, ERRORVALUE, 1]], numpy.float32)
# build into cube
cube = Cube(zerodata,
var_name='EXAMPLE',
dim_coords_and_dims=axes_coordinates)
cube.add_aux_coord(AuxCoord(wrong_latitude, var_name='latitude'),
data_dims=(0, 1))
cube.add_aux_coord(AuxCoord(wrong_longitude, var_name='longitude'),
data_dims=(0, 1))
# copies of cube for tests
collection = SatelliteCollection(
TestSatelliteCollection.FieldNamesForTest(), cube.copy())
# input coordinates with non overlapping masks
collection.generate_safety_mask()
self.assertTrue(hasattr(collection, 'safety_mask'))
numpy.testing.assert_equal(
numpy.array([[True, False, False, False, True],
[False, False, False, False, False],
[False, False, False, True, False]]),
collection.safety_mask)
