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from bscearth.utils.log import Log
import iris
from iris.coords import DimCoord, AuxCoord
from iris.cube import CubeList
import iris.analysis
from earthdiagnostics.constants import Basins
from earthdiagnostics.diagnostic import Diagnostic, DiagnosticBasinListOption
from earthdiagnostics.modelingrealm import ModelingRealms
from earthdiagnostics.utils import Utils, TempFile
class Moc(Diagnostic):
"""
Compute the MOC for oceanic basins
:original author: Virginie Guemas <virginie.guemas@bsc.es>
:contributor: Javier Vegas-Regidor<javier.vegas@bsc.es>
:created: March 2012
:last modified: June 2016
:param data_manager: data management object
:type data_manager: DataManager
:param startdate: startdate
:type startdate: str
:param member: member number
:type member: int
:param chunk: chunk's number
:type chunk: int
alias = 'moc'
"Diagnostic alias for the configuration file"
def __init__(self, data_manager, startdate, member, chunk, basins):
Diagnostic.__init__(self, data_manager)
self.startdate = startdate
self.member = member
self.chunk = chunk
basins = []
basins.extend(self.basins.keys())
return 'MOC Startdate: {0.startdate} Member: {0.member} ' \
'Chunk: {0.chunk} Basins: {1}'.format(self, basins)
def __hash__(self):
return hash(str(self))
if self._different_type(other):
return False
return self.startdate == other.startdate and self.member == other.member and self.chunk == other.chunk
@classmethod
def generate_jobs(cls, diags, options):
Create a job for each chunk to compute the diagnostic
:param diags: Diagnostics manager class
:type diags: Diags
:param options: None
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basins = Basins()
options_available = (
DiagnosticBasinListOption(
'basins',
'glob'
),
)
options = cls.process_options(options, options_available)
basins = options['basins']
if not basins:
Log.error('Basins not recognized')
return ()
try:
e1v = iris.load_cube('mesh_hgr.nc', 'e1v')
except iris.exceptions.ConstraintMismatchError:
e1v = iris.load_cube('mesh_hgr.nc', 'e1v_0')
try:
e3v = iris.load_cube('mesh_hgr.nc', 'e3t_0')
except iris.exceptions.ConstraintMismatchError:
e3v = iris.load_cube('mesh_hgr.nc', 'e3t_0')
e1v = iris.util.squeeze(e1v).data
e3v = iris.util.squeeze(e3v).data
if len(e3v.shape) == 1:
e3v = np.expand_dims(e3v.data, 1)
e3v = np.expand_dims(e3v, 2)
else:
e3v = e3v.data
mesh = - e1v * e3v
masks = {}
basins.sort()
for basin in basins:
masks[basin.name] = Utils.get_mask(basin) * mesh / 1e6
for startdate, member, chunk in diags.config.experiment.get_chunk_list():
job_list.append(Moc(diags.data_manager, startdate, member, chunk, masks))
self.variable_file = self.request_chunk(ModelingRealms.ocean, 'vo', self.startdate, self.member, self.chunk)
def declare_data_generated(self):
self.results = self.declare_chunk(ModelingRealms.ocean, Moc.vsftmyz, self.startdate, self.member, self.chunk)
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data = iris.load_cube(self.variable_file.local_file)
Log.debug(str(data))
try:
data.coord('i')
except iris.exceptions.CoordinateNotFoundError:
dims = len(data.shape)
data.add_dim_coord(iris.coords.DimCoord(np.arange(data.shape[dims - 1]), var_name='i'), dims - 1)
try:
data.coord('j')
except iris.exceptions.CoordinateNotFoundError:
dims = len(data.shape)
data.add_dim_coord(iris.coords.DimCoord(np.arange(data.shape[dims - 2]), var_name='j'), dims - 2)
for coord_name in ('model_level_number', 'Vertical V levels', 'lev'):
if data.coords(coord_name):
coord = data.coord(coord_name)
coord.standard_name = 'depth'
coord.long_name = 'depth'
break
moc_results = CubeList()
for map_slice in data.slices_over('time'):
# Force data loading
map_slice.data
Log.debug(str(map_slice))
for basin, mask in six.iteritems(self.basins):
moc = map_slice.collapsed(('i', 'depth'), iris.analysis.SUM, weights=mask)
moc.add_aux_coord(
AuxCoord([basin], var_name='region', standard_name='region')
)
moc_results.append(moc)
results = moc_results.merge_cube()
results.var_name = Moc.vsftmyz
results.remove_coord('i')
results.remove_coord('depth')
results.remove_coord('longitude')
results.units = 'Sverdrup'
iris.save(results, temp)
self.results.set_local_file(temp)