def _get_key_value(self, key):
"""
Get the value associated with the given key in the GRIB message.
Args:
* key:
The GRIB key to retrieve the value of.
Returns the value associated with the requested key in the GRIB
message.
"""
vector_keys = (
"codedValues",
"pv",
"satelliteSeries",
"satelliteNumber",
"instrumentType",
"scaleFactorOfCentralWaveNumber",
"scaledValueOfCentralWaveNumber",
)
if key in vector_keys:
res = gribapi.grib_get_array(self._message_id, key)
elif key in ("typeOfFirstFixedSurface", "typeOfSecondFixedSurface"):
# By default these values are returned as unhelpful strings but
# we can use int representation to compare against instead.
res = gribapi.grib_get(self._message_id, key, int)
else:
res = gribapi.grib_get(self._message_id, key)
return res
def _get_key_value(self, key):
"""
Get the value associated with the given key in the GRIB message.
Args:
* key:
The GRIB key to retrieve the value of.
Returns the value associated with the requested key in the GRIB
message.
"""
vector_keys = ('codedValues', 'pv', 'satelliteSeries',
'satelliteNumber', 'instrumentType',
'scaleFactorOfCentralWaveNumber',
'scaledValueOfCentralWaveNumber',
'longitudes', 'latitudes')
if key in vector_keys:
res = gribapi.grib_get_array(self._message_id, key)
elif key == 'bitmap':
# The bitmap is stored as contiguous boolean bits, one bit for each
# data point. GRIBAPI returns these as strings, so it must be
# type-cast to return an array of ints (0, 1).
res = gribapi.grib_get_array(self._message_id, key, int)
elif key in ('typeOfFirstFixedSurface', 'typeOfSecondFixedSurface'):
# By default these values are returned as unhelpful strings but
# we can use int representation to compare against instead.
res = gribapi.grib_get(self._message_id, key, int)
else:
res = gribapi.grib_get(self._message_id, key)
return res
def _get_key_value(self, key):
"""
Get the value associated with the given key in the GRIB message.
Args:
* key:
The GRIB key to retrieve the value of.
Returns the value associated with the requested key in the GRIB
message.
"""
vector_keys = ('codedValues', 'pv', 'satelliteSeries',
'satelliteNumber', 'instrumentType',
'scaleFactorOfCentralWaveNumber',
'scaledValueOfCentralWaveNumber', 'longitudes',
'latitudes', 'distinctLatitudes')
if key in vector_keys:
res = gribapi.grib_get_array(self._message_id, key)
elif key == 'bitmap':
# The bitmap is stored as contiguous boolean bits, one bit for each
# data point. GRIBAPI returns these as strings, so it must be
# type-cast to return an array of ints (0, 1).
res = gribapi.grib_get_array(self._message_id, key, int)
elif key in ('typeOfFirstFixedSurface', 'typeOfSecondFixedSurface'):
# By default these values are returned as unhelpful strings but
# we can use int representation to compare against instead.
res = gribapi.grib_get(self._message_id, key, int)
else:
res = gribapi.grib_get(self._message_id, key)
return res
def merge_prev_months(month, fin, fouts, writer):
while True:
gid = gribapi.grib_new_from_file(fin)
if (not gid): break
date = int(gribapi.grib_get(gid, "dataDate"))
mon = (date % 10000) / 100
if (mon == month):
code = make_grib_tuple(gribapi.grib_get(gid, "param"))
if (code in accum_codes): continue
fix_Pa_pressure_levels(gid)
writer(gid, fouts)
gribapi.grib_release(gid)
def _find(gid, **kwargs):
for k, v in kwargs.iteritems():
if not grib_is_defined(gid, k):
return False
iscontainer = utils.is_container(v)
iscallable = utils.is_callable(v)
if (not iscontainer and not iscallable and grib_get(gid, k) == v) or\
(iscontainer and grib_get(gid, k) in v) or \
(iscallable and v(grib_get(gid, k))):
continue
else:
return False
return True
def _get_value_or_missing(self, key, use_int=False):
"""
Return value of header element, or None if value is encoded as missing.
Implementation of Regulations 92.1.4 and 92.1.5 via ECCodes.
"""
if gribapi.grib_is_missing(self._message_id, key):
result = None
else:
if use_int:
result = gribapi.grib_get(self._message_id, key, int)
else:
result = gribapi.grib_get(self._message_id, key)
return result
def _get_value_or_missing(self, key, use_int=False):
"""
Return value of header element, or None if value is encoded as missing.
Implementation of Regulations 92.1.4 and 92.1.5 via ECCodes.
"""
if gribapi.grib_is_missing(self._message_id, key):
result = None
else:
if use_int:
result = gribapi.grib_get(self._message_id, key, int)
else:
result = gribapi.grib_get(self._message_id, key)
return result
def select_messages(self, **kwargs):
self._selected_grbs = self._get_gids(**kwargs)
if len(self._selected_grbs) > 0:
self._gid_main_res = self._selected_grbs[0]
grid = GribGridDetails(self._selected_grbs[0])
# some cumulated messages come with the message at step=0 as instant, to permit aggregation
# cumulated rainfall rates could have the step zero instant message as kg/m^2, instead of kg/(m^2*s)
if len(self._selected_grbs) > 1:
unit = grib_get(self._selected_grbs[1], 'units')
type_of_step = grib_get(self._selected_grbs[1], 'stepType')
else:
type_of_step = grib_get(self._selected_grbs[0], 'stepType')
unit = grib_get(self._selected_grbs[0], 'units')
type_of_level = grib_get(self._selected_grbs[0], 'levelType')
missing_value = grib_get(self._selected_grbs[0], 'missingValue')
all_values = {}
all_values_second_res = {}
grid2 = None
input_step = self._step_grib
for g in self._selected_grbs:
start_step = grib_get(g, 'startStep')
end_step = grib_get(g, 'endStep')
points_meridian = grib_get(g, 'Nj')
if '{}-{}'.format(start_step,
end_step) == self._change_step_at:
# second time resolution
input_step = self._step_grib2
key = Step(start_step, end_step, points_meridian, input_step)
if points_meridian != grid.num_points_along_meridian and grid.get_2nd_resolution(
) is None:
# found second resolution messages
grid2 = GribGridDetails(g)
self._gid_ext_res = g
values = grib_get_double_array(g, 'values')
if not grid2:
all_values[key] = values
elif points_meridian != grid.num_points_along_meridian:
all_values_second_res[key] = values
if grid2:
key_2nd_spatial_res = min(all_values_second_res.keys())
grid.set_2nd_resolution(grid2, key_2nd_spatial_res)
return Messages(all_values, missing_value, unit, type_of_level,
type_of_step, grid, all_values_second_res)
# no messages found
else:
raise ValueError('No messages in grib file')
def get_grib_info(self, select_args):
_gribs_for_utils = self._get_gids(**select_args)
if len(_gribs_for_utils) > 0:
type_of_step = grib_get(_gribs_for_utils[1],
'stepType') # instant, avg, cumul
# FIXME this is not correct: GRIB missing values needs bitmap
self._mv = grib_get_double(_gribs_for_utils[0], 'missingValue')
start_grib, end_grib, self._step_grib, self._step_grib2, self._change_step_at = self._find_start_end_steps(
_gribs_for_utils)
for g in _gribs_for_utils:
grib_release(g)
_gribs_for_utils = None
del _gribs_for_utils
import gc
gc.collect()
info = GRIBInfo(input_step=self._step_grib,
input_step2=self._step_grib2,
change_step_at=self._change_step_at,
type_of_param=type_of_step,
start=start_grib,
end=end_grib,
mv=self._mv)
return info
# no messages found
else:
raise ValueError('No messages found in grib file')
def get(self, key, ktype=None):
"""Get value of a given key as its native or specified type."""
if self.missing(key):
raise KeyError("Key is missing from message.")
if gribapi.grib_get_size(self.gid, key) > 1:
ret = gribapi.grib_get_array(self.gid, key, ktype)
else:
ret = gribapi.grib_get(self.gid, key, ktype)
return ret
def _find_start_end_steps(gribs):
# return input_steps,
# change step if a second time resolution is found
start_steps = [
grib_get(gribs[i], 'startStep') for i in xrange(len(gribs))
]
end_steps = [grib_get(gribs[i], 'endStep') for i in xrange(len(gribs))]
start_grib = min(start_steps)
end_grib = max(end_steps)
ord_end_steps = sorted(end_steps)
ord_start_steps = sorted(start_steps)
step = ord_end_steps[1] - ord_end_steps[0]
step2 = -1
change_step_at = ''
for i in xrange(2, len(ord_end_steps)):
if step2 == -1 and ord_end_steps[i] - ord_end_steps[i - 1] != step:
# change of time resolution
step2 = ord_end_steps[i] - ord_end_steps[i - 1]
change_step_at = '{}-{}'.format(ord_start_steps[i],
ord_end_steps[i])
return start_grib, end_grib, step, step2, change_step_at
def get_grib_metadata(filename, shortname, level=None):
"""Restituisce l'elenco dei grib che fanno match con shortname e level passati"""
grib_get_or_none = lambda gid, key: gribapi.grib_get(gid, key) if gribapi.grib_is_defined(gid, key) else None
with open(filename) as fp:
# Itero sui messaggi GRIB
while True:
gid = gribapi.grib_new_from_file(fp)
# when None, there are no more messages
if gid is None:
break
# grib message should have these metadata
if grib_get_or_none(gid, "cfVarName") != shortname:
continue
if level is not None and grib_get_or_none(gid, "level") != level:
continue
global units
units=grib_get_or_none(gid, "units")
# custom scaling options
global scaling_offset
global scaling_factor
if units == 'K':
scaling_offset=-273.15
units = '°C'
# converting total cloud cover for cosmo in okta
if units == '%' and grib_get_or_none(gid, "cfVarName") == 'tcc':
scaling_factor = 0.08
units = 'okta'
# converting total cloud cover for ifs-ecmwf in okta
if units == '(0 - 1)' and grib_get_or_none(gid, "cfVarName") == 'tcc':
scaling_factor = 8.0
units = 'okta'
# converting precipitations in mm
if units == 'm' and grib_get_or_none(gid, "cfVarName") != 'hzerocl':
scaling_factor = 0.001
units = 'mm'
if units == 'pa':
scaling_factor = 0.01
units = 'hPa'
yield gid, grib_get_or_none(gid, "endStep")
def read_lsm(res_num, input_path_oifs, output_path_oifs, exp_name_oifs,
num_fields):
'''
This function reads the oifs input file in grib format and save it into a
list of numpy arrays.
'''
print(' Opening Grib inpute file: %s ' % (input_path_oifs, ))
input_file_oifs = input_path_oifs + 'ICMGG' + exp_name_oifs + 'INIT'
gid = [None] * num_fields
gribfield = [None] * num_fields
with open(input_file_oifs, 'r+') as f:
keys = ['N', 'shortName']
for i in range(num_fields):
gid[i] = gribapi.grib_new_from_file(f)
if gid[i] is None:
break
for key in keys:
if not gribapi.grib_is_defined(gid[i], key):
raise ValueError("Key '%s' was not defined" % key)
print('%s=%s' % (key, gribapi.grib_get(gid[i], key)))
shortName = gribapi.grib_get(gid[i], 'shortName')
if shortName == 'lsm':
lsm_id = i
if shortName == 'slt':
slt_id = i
if shortName == 'cl':
cl_id = i
nres = gribapi.grib_get(gid[i], 'N')
gribfield[i] = gribapi.grib_get_values(gid[i])
return (gribfield, lsm_id, slt_id, cl_id, gid)
def get(self, key, type=None):
"""Get value of a given key as its native or specified type."""
if self.missing(key):
raise KeyError("Key is missing from message.")
if key == "values":
ret = gribapi.grib_get_values(self.gid)
else:
try:
ret = gribapi.grib_get(self.gid, key, type)
# This is an ugly hack because the library does not differentiate
# exception types
except gribapi.GribInternalError, e:
if e.msg == "Passed array is too small":
ret = gribapi.grib_get_array(self.gid, key, type)
else:
raise e
def get(self, key, type=None):
"""Get value of a given key as its native or specified type."""
if self.missing(key):
raise KeyError("Key is missing from message.")
if key == "values":
ret = gribapi.grib_get_values(self.gid)
else:
try:
ret = gribapi.grib_get(self.gid, key, type)
# This is an ugly hack because the library does not differentiate
# exception types
except gribapi.GribInternalError, e:
if e.msg == "Passed array is too small":
ret = gribapi.grib_get_array(self.gid, key, type)
else:
raise e
def ls_grib(src_path, keys):
keys = ['name', 'level', 'typeOfLevel'] + keys
messages = defaultdict(list)
with open(src_path, 'rb') as fin:
while True:
gid = gribapi.grib_new_from_file(fin)
if gid is None:
break
for k in keys:
try:
val = gribapi.grib_get(gid, k)
messages[k].append(val)
except Exception as e:
logging.error('Failed to get key (%s). Either key is not available for the message or it is an '
'array type.' % k)
return messages, keys
def get_computed_key(self, key):
"""
Get the computed value associated with the given key in the GRIB
message.
Args:
* key:
The GRIB key to retrieve the value of.
Returns the value associated with the requested key in the GRIB
message.
"""
vector_keys = ('longitudes', 'latitudes', 'distinctLatitudes')
if key in vector_keys:
res = gribapi.grib_get_array(self._message_id, key)
else:
res = gribapi.grib_get(self._message_id, key)
return res
def get_computed_key(self, key):
"""
Get the computed value associated with the given key in the GRIB
message.
Args:
* key:
The GRIB key to retrieve the value of.
Returns the value associated with the requested key in the GRIB
message.
"""
vector_keys = ('longitudes', 'latitudes', 'distinctLatitudes')
if key in vector_keys:
res = gribapi.grib_get_array(self._message_id, key)
else:
res = gribapi.grib_get(self._message_id, key)
return res
def plotData():
#
# G R I B A P I
#
f = open(INPUT)
gid = gribapi.grib_new_from_file(f)
values = gribapi.grib_get_values(gid)
# print values.dtype
# print values.shape
Ni = gribapi.grib_get(gid, 'Ni')
Nj = gribapi.grib_get(gid, 'Nj')
print 'GRIB_API: %d (%dx%d=%d) values found in %s' % (len(values), Nj, Ni,
Nj * Ni, INPUT)
latitudeOfFirstGridPointInDegrees = gribapi.grib_get(
gid, 'latitudeOfFirstGridPointInDegrees')
longitudeOfFirstGridPointInDegrees = gribapi.grib_get(
gid, 'longitudeOfFirstGridPointInDegrees')
latitudeOfLastGridPointInDegrees = gribapi.grib_get(
gid, 'latitudeOfLastGridPointInDegrees')
longitudeOfLastGridPointInDegrees = gribapi.grib_get(
gid, 'longitudeOfLastGridPointInDegrees')
jDirectionIncrementInDegrees = gribapi.grib_get(
gid, 'jDirectionIncrementInDegrees')
iDirectionIncrementInDegrees = gribapi.grib_get(
gid, 'iDirectionIncrementInDegrees')
# for key in ('max','min','average'):
# print ' %s=%.10e' % (key,gribapi.grib_get(gid,key))
gribapi.grib_release(gid)
f.close()
#
# M A G I C S
#
Magics.init()
Magics.setc("OUTPUT_FORMAT", "ps")
Magics.setc("OUTPUT_NAME", "py_arrays_from_grib")
Magics.setr("INPUT_FIELD_INITIAL_LATITUDE",
latitudeOfFirstGridPointInDegrees)
Magics.setr("INPUT_FIELD_INITIAL_LONGITUDE",
longitudeOfFirstGridPointInDegrees)
Magics.setr("INPUT_FIELD_LATITUDE_STEP", -jDirectionIncrementInDegrees)
Magics.setr("INPUT_FIELD_LONGITUDE_STEP", iDirectionIncrementInDegrees)
values2 = numpy.array(values - 273.15) # convert degree K to C
# print values2.dtype
# print values2.shape
val = values2.reshape(Nj, Ni)
# print val.dtype
# print val.shape
Magics.set2r("INPUT_FIELD", val)
# Magics.setc ("contour_grid_value_plot", "on")
# Magics.setc ("contour_grid_value_plot_type", "value")
# Magics.seti ("contour_grid_value_lat_frequency", 8)
# Magics.seti ("contour_grid_value_lon_frequency", 8)
# Magics.setr ("contour_grid_value_height", 0.3)
# Magics.setc ("contour", "off")
Magics.cont()
Magics.coast()
Magics.finalize()
def merge_cur_months(month, fin1, fin2, fouts, writer):
gidinst, gidcum = -1, -1
timinst, timcum = -1, -1
procinst, proccum = True, True
instmode = False
while True:
if (instmode):
if (procinst):
if (gidinst != -1): gribapi.grib_release(gidinst)
gidinst = gribapi.grib_new_from_file(fin1)
if (not gidinst):
break
time = int(gribapi.grib_get(gidinst, "dataTime"))
if (timinst == -1): timinst = time
if (time != timinst):
timinst = time
procinst = False
instmode = False
continue
else:
procinst = True
code = make_grib_tuple(gribapi.grib_get(gidinst, "param"))
if (code in accum_codes):
continue
date = int(gribapi.grib_get(gidinst, "dataDate"))
mon = (date % 10**4) / 10**2
if (mon == month):
fix_Pa_pressure_levels(gidinst)
writer(gidinst, fouts)
else:
if (proccum):
if (gidinst != -1): gribapi.grib_release(gidcum)
gidcum = gribapi.grib_new_from_file(fin2)
if (not gidcum):
procinst = False
instmode = True
continue
time = int(gribapi.grib_get(gidcum, "dataTime"))
if (timcum == -1): timcum = time
if (time != timcum):
timcum = time
proccum = False
instmode = True
continue
else:
proccum = True
code = make_grib_tuple(gribapi.grib_get(gidcum, "param"))
if (code not in accum_codes): continue
if (timeshift > 0):
date = int(gribapi.grib_get(gidcum, "dataDate"))
mon = (date % 10**4) / 10**2
newdate = date
newtime = time - 100 * timeshift
if (newtime < 0):
curdate = datetime.date(date / 10**4, mon, date % 10**2)
prevdate = curdate - datetime.timedelta(days=1)
mon = prevdate.month
newdate = prevdate.year * 10**4 + mon * 10**2 + prevdate.day
newtime = 2400 + newtime
gribapi.grib_set(gidcum, "dataDate", newdate)
gribapi.grib_set(gidcum, "dataTime", newtime)
if (mon == month):
fix_Pa_pressure_levels(gidcum)
writer(gidcum, fouts)
def _is_quasi_regular_grib(grib_message):
"""Detect GRIB 'thinned' a.k.a 'reduced' a.k.a 'quasi-regular' grid."""
reduced_grids = ("reduced_ll", "reduced_gg")
return gribapi.grib_get(grib_message, 'gridType') in reduced_grids
#Setting of the output file name
output = magics.output(output_formats=['png'], output_name='mars-array')
#Setting the projection attributes
europe = magics.mmap(subpage_lower_left_longitude=-20.,
subpage_upper_right_longitude=20.00,
subpage_upper_right_latitude=30.,
subpage_map_projection="cylindrical",
subpage_lower_left_latitude=70.)
file = open('z500.grb')
#Getting the first message from the file
field = grib.grib_new_from_file(file)
nj = grib.grib_get(field, "Nj")
ni = grib.grib_get(field, "Ni")
metadata = {
"paramId": grib.grib_get(field, "paramId"),
"units": grib.grib_get(field, "units"),
"typeOfLevel": grib.grib_get(field, "typeOfLevel"),
"marsType": grib.grib_get(field, "marsType"),
"marsClass": grib.grib_get(field, "marsClass"),
"marsStream": grib.grib_get_string(field, "marsStream"),
"level": grib.grib_get(field, "level")
}
firstlat = grib.grib_get(field, "latitudeOfFirstGridPointInDegrees")
steplat = -grib.grib_get(field, "jDirectionIncrementInDegrees")
def get_phenomena(self):
phen_list = []
phenomenon =\
{
"id" : "",
"attribute_count" : "",
"attributes" :[]
}
phen_keys = [
"paramId",
"cfNameECMF",
"cfName",
"cfVarName",
"units",
"nameECMF",
"name"
]
phen_attr =\
{
"name" : "",
"value": ""
}
try:
fd = open(self.file_path)
while 1:
gid = gapi.grib_new_from_file(fd)
if gid is None: break
phen_attr_list = []
attr_count = 0
for key in phen_keys:
if not gapi.grib_is_defined(gid, key):
continue
value = str(gapi.grib_get(gid, key))
if len(key) < util.MAX_ATTR_LENGTH \
and len(value) < util.MAX_ATTR_LENGTH \
and util.is_valid_phen_attr(value):
phen_attr["name"] = str(key.strip())
phen_attr["value"] = str(unicode(value).strip())
if phen_attr not in phen_attr_list:
phen_attr_list.append(phen_attr.copy())
attr_count = attr_count + 1
if len(phen_attr_list) > 0:
new_phenomenon = phenomenon.copy()
new_phenomenon["attributes"] = phen_attr_list
new_phenomenon["attribute_count"] = attr_count
if new_phenomenon not in phen_list:
phen_list.append(new_phenomenon)
gapi.grib_release(gid)
fd.close()
return phen_list
except Exception:
return None
def get_metadata_level3(self):
phen_list = []
phenomenon =\
{
"id" : "",
"attribute_count" : "",
"attributes" :[]
}
phen_attr =\
{
"name" : "",
"value": ""
}
lat_f_l = []
lon_f_l = []
lat_l_l = []
lon_l_l = []
date_d_l = []
date_t_l = []
phen_keys = [
"paramId",
"cfNameECMF",
"cfName",
"cfVarName",
"units",
"nameECMF",
"name",
"Ni",
"Nj",
"latitudeOfFirstGridPointInDegrees",
"longitudeOfFirstGridPointInDegrees",
"latitudeOfLastGridPointInDegrees",
"longitudeOfLastGridPointInDegrees",
"dataDate",
"dataTime"
]
try:
fd = open(self.file_path)
while 1:
gid = gapi.grib_new_from_file(fd)
if gid is None: break
phen_attr_list = []
attr_count = 0
for key in phen_keys:
if not gapi.grib_is_defined(gid, key):
continue
value = str(gapi.grib_get(gid, key))
#So the file contains many records but all report the
#same spatial and temporal information. Only complete distinct records
#will be stored i.e the one that contain the full list of parameter
#and are unique. If evety record has got different spatial and temporal
#then th eindex must change because currently there is only on geo_shape_field.
if key == "latitudeOfFirstGridPointInDegrees":
lat_f_l.append(value)
elif key == "longitudeOfFirstGridPointInDegrees":
lon_f_l.append(value)
elif key == "latitudeOfLastGridPointInDegrees":
lat_l_l.append(value)
elif key =="longitudeOfLastGridPointInDegrees":
lon_l_l.append(value)
elif key == "dataDate":
date_d_l.append(value)
elif key == "dataTime":
date_t_l.append(value)
else:
if len(key) < util.MAX_ATTR_LENGTH \
and len(value) < util.MAX_ATTR_LENGTH \
and util.is_valid_phen_attr(value):
phen_attr["name"] = str(key.strip())
phen_attr["value"] = str(unicode(value).strip())
if phen_attr not in phen_attr_list:
phen_attr_list.append(phen_attr.copy())
attr_count = attr_count + 1
if len(phen_attr_list) > 0:
new_phenomenon = phenomenon.copy()
new_phenomenon["attributes"] = phen_attr_list
new_phenomenon["attribute_count"] = attr_count
if new_phenomenon not in phen_list:
phen_list.append(new_phenomenon)
gapi.grib_release(gid)
fd.close()
if len(lat_f_l) > 0 \
and len(lon_f_l) > 0 \
and len(lat_l_l) > 0 \
and len(lon_l_l) > 0 \
and len(date_d_l) > 0 \
and len(date_t_l):
geospatial_dict = {}
geospatial_dict["type"] = "envelope"
temporal_dict = {}
lat_f = min(lat_f_l)
lon_f = min(lon_f_l)
lat_l = max(lat_l_l)
lon_l = max(lon_l_l)
date_d = min(date_d_l)
date_t = min(date_t_l)
if float(lon_l) > 180:
lon_l = (float(lon_l) -180) - 180
geospatial_dict["coordinates"] = [[round(float(lon_f), 3), round(float(lat_f), 3)], [round(float(lon_l), 3), round(float(lat_l), 3) ]]
temporal_dict["start_time"] = date_d
temporal_dict["end_time"] = date_t
return (phen_list, geospatial_dict, temporal_dict)
else:
return (phen_list,)
except Exception as ex:
return None
#####
# OPEN FIRST GRIB FILE, GET MESSAGE HANDLERS AND CLOSE
f = open(filePaths[0], 'r')
gribapi.grib_multi_support_on()
mcount = gribapi.grib_count_in_file(f) # number of messages in file
gids = [gribapi.grib_new_from_file(f) for i in range(mcount)]
f.close()
#####
# GET NAME AND LEVEL OF EACH MESSAGE
varNames = []
levels = []
for i in range(mcount):
gid = gids[i]
varNames.append(gribapi.grib_get(gid, 'shortName'))
levels.append(gribapi.grib_get(gid, 'level'))
#####
# GET REQUIRED GIDS (AT REQUIRED LEVELS)
gidPRMSL = varNames.index("prmsl") + 1 # Pressure reduced to mean sea level
# Height
gidHGT = np.flipud([
i + 1 for i in range(len(varNames))
if (varNames[i] == 'gh' and levels[i] in levsIncl)
])
# Temperature
gidTMP = np.flipud([
i + 1 for i in range(len(varNames))
if (varNames[i] == 't' and levels[i] in levsIncl)
])
def _is_quasi_regular_grib(grib_message):
"""Detect GRIB 'thinned' a.k.a 'reduced' a.k.a 'quasi-regular' grid."""
reduced_grids = ("reduced_ll", "reduced_gg")
return gribapi.grib_get(grib_message, 'gridType') in reduced_grids
def fix_Pa_pressure_levels(gid):
levtype = gribapi.grib_get(gid, "indicatorOfTypeOfLevel", int)
if (levtype == 210): gribapi.grib_set(gid, "indicatorOfTypeOfLevel", 99)
