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import numpy as np
from autosubmit.config.log import Log
from earthdiagnostics.constants import Basins
from earthdiagnostics.diagnostic import Diagnostic
from earthdiagnostics.utils import Utils, TempFile
from earthdiagnostics.domain import Domains
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):
Diagnostic.__init__(self, data_manager)
self.startdate = startdate
self.member = member
self.chunk = chunk
self.required_vars = ['vo']
self.generated_vars = ['vsftmyz']
def __str__(self):
return 'MOC Startdate: {0} Member: {1} Chunk: {2}'.format(self.startdate, self.member, self.chunk)
def __eq__(self, other):
return self.startdate == other.startdate and self.member == other.member and self.chunk == other.chunk
@classmethod
def generate_jobs(cls, diags, options):
"""
Creates a job for each chunk to compute the diagnostic
:param diags: Diagnostics manager class
:type diags: Diags
:param options: None
:return:
"""
if len(options) > 1:
raise Exception('The MOC diagnostic has no options')
for startdate, member, chunk in diags.config.experiment.get_chunk_list():
job_list.append(Moc(diags.data_manager, startdate, member, chunk))
return job_list
def compute(self):
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input_file = self.data_manager.get_file(Domains.ocean, 'vo', self.startdate, self.member, self.chunk)
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Log.debug('Computing MOC')
cdftools.run('cdfmoc', input=input_file, output=temp)
Utils.nco.ncks(input=input_file, output=temp, options='-A -v lev')
Utils.convert2netcdf4(temp)
Log.debug('Reformatting variables')
handler = Utils.openCdf(temp)
handler.createDimension('basin', 5)
handler.createVariable('basin', str, 'basin')
handler.variables['basin'][:] = np.array([Basins.Global.fullname, Basins.Atlantic.fullname,
Basins.Pacific.fullname, Basins.IndoPacific.fullname,
Basins.Indian.fullname], dtype=object)
example = handler.variables['zomsfglo']
# noinspection PyProtectedMember
moc = handler.createVariable('vsftmyz', example.datatype,
('time', 'lev', 'i', 'j', 'basin'),
fill_value=example._FillValue)
moc.units = example.units
moc.add_offset = example.add_offset
moc.scale_factor = example.scale_factor
moc[:, :, :, :, 0] = handler.variables['zomsfglo'][:]
moc[:, :, :, :, 1] = handler.variables['zomsfatl'][:]
moc[:, :, :, :, 2] = handler.variables['zomsfpac'][:]
moc[:, :, :, :, 3] = handler.variables['zomsfinp'][:]
moc[:, :, :, :, 4] = handler.variables['zomsfind'][:]
handler.close()
Utils.nco.ncks(input=temp, output=temp,
options='-O -x -v zomsfglo,zomsfatl,zomsfpac,zomsfinp,zomsfind,zomsfinp0')
Utils.setminmax(temp, 'vsftmyz')
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self.send_file(temp, Domains.ocean, 'vsftmyz', self.startdate, self.member, self.chunk)