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VERIFY
CIF
Commits
8d625035
Commit
8d625035
authored
Jan 14, 2022
by
Antoine Berchet
Browse files
Merged origin/devel
parents
2e7e0d0c
e19c0d8d
Changes
20
Hide whitespace changes
Inline
Side-by-side
pycif/plugins/datastreams/fields/grib2_ecmwf/__init__.py
View file @
8d625035
"""
Read grib files from ECMWF
Options :
1) Surface fields only, 3d field by default
2) Decumulation : in this case 2 dates are saved in the fetch list and the decumulation is next_date - date
"""
from
.fetch
import
fetch
from
.get_domain
import
get_domain
from
.read
import
read
...
...
@@ -13,3 +23,21 @@ _fullname = "ECMWF grib2 data files"
# "accepted":
# },
#}
input_arguments
=
{
"decumul"
:
{
"doc"
:
"In case of cumulated variable"
"If True, decumulation done"
,
"default"
:
False
,
"accepted"
:
bool
},
"surface"
:
{
"doc"
:
"In case of surface variable"
"If True, 2d field"
,
"default"
:
False
,
"accepted"
:
bool
}
}
pycif/plugins/datastreams/fields/grib2_ecmwf/fetch.py
View file @
8d625035
...
...
@@ -5,6 +5,7 @@ import pandas as pd
from
.....utils
import
path
from
.utils
import
find_valid_file
from
logging
import
info
def
fetch
(
ref_dir
,
ref_file
,
input_dates
,
target_dir
,
tracer
=
None
,
**
kwargs
):
...
...
@@ -14,12 +15,22 @@ def fetch(ref_dir, ref_file, input_dates, target_dir, tracer=None, **kwargs):
list_files
=
{}
for
dd
in
list_period_dates
:
dir_dd
=
dd
.
strftime
(
ref_dir
)
dir_dd_next
=
(
dd
+
datetime
.
timedelta
(
days
=
1
)).
strftime
(
ref_dir
)
files_3d
,
dates_3d
=
find_valid_file
(
dir_dd
,
ref_file
,
dd
,
dir_dd_next
)
dir_dd_next
=
(
dd
+
datetime
.
timedelta
(
hours
=
3
)).
strftime
(
ref_dir
)
dir_dd_previous
=
(
dd
-
datetime
.
timedelta
(
hours
=
3
)).
strftime
(
ref_dir
)
files_3d
,
dates_3d
=
find_valid_file
(
dir_dd
,
ref_file
,
dd
,
dir_dd_next
,
ref_dir_previous
=
dir_dd_previous
)
if
os
.
path
.
isfile
(
files_3d
[
0
]):
list_dates
[
dd
]
=
[[
dd
,
dd
+
datetime
.
timedelta
(
hours
=
3
)]]
list_files
[
dd
]
=
[
files_3d
[
0
]]
if
hasattr
(
tracer
,
"decumul"
):
if
tracer
.
decumul
:
if
list_files
:
list_files
[
dd
]
=
[
files_3d
]
else
:
list_files
[
dd
]
=
[
files_3d
]
else
:
list_files
[
dd
]
=
[[
files_3d
[
0
]]]
else
:
list_files
[
dd
]
=
[[
files_3d
[
0
]]]
# Fetching
# Renaming target files according to date in case
...
...
@@ -28,5 +39,6 @@ def fetch(ref_dir, ref_file, input_dates, target_dir, tracer=None, **kwargs):
target_file
=
"{}/{}"
.
format
(
target_dir
,
dd
.
strftime
(
ref_file
))
path
.
link
(
files_3d
[
0
],
target_file
)
local_files
.
append
(
target_file
)
#info(list_files)
#info(list_dates)
return
list_files
,
list_dates
pycif/plugins/datastreams/fields/grib2_ecmwf/get_domain.py
View file @
8d625035
...
...
@@ -7,7 +7,6 @@ import copy
def
get_domain
(
ref_dir
,
ref_file
,
input_dates
,
target_dir
,
tracer
=
None
):
date_ref
=
list
(
input_dates
.
values
())[
0
][
0
]
dir_dd
=
date_ref
.
strftime
(
target_dir
)
files_3d
,
dates_3d
=
find_valid_file
(
dir_dd
,
ref_file
,
date_ref
,
dir_dd
)
lon
,
lat
=
grib_file_reader
(
files_3d
[
0
],
[
"longitude"
,
"latitude"
])
...
...
@@ -20,10 +19,12 @@ def get_domain(ref_dir, ref_file, input_dates, target_dir, tracer=None):
if
jscan
==
0
:
lat2
=
np
.
flip
(
lat
)
lat
=
copy
.
deepcopy
(
lat2
)
pv
=
grib_file_reader
(
files_3d
[
0
],
[],
attribute
=
"pv"
)
hybrid
=
np
.
array
(
grib_file_reader
(
files_3d
[
0
],
[
"hybrid"
])).
flatten
().
astype
(
int
)
if
hasattr
(
tracer
,
"surface"
):
if
tracer
.
surface
==
False
:
pv
=
grib_file_reader
(
files_3d
[
0
],
[],
attribute
=
"pv"
)
hybrid
=
np
.
array
(
grib_file_reader
(
files_3d
[
0
],
[
"hybrid"
])).
flatten
().
astype
(
int
)
lon_min
=
lon
.
min
()
# - (lon[1] - lon[0]) / 2
lon_max
=
lon
.
max
()
# + (lon[-1] - lon[-2]) / 2
...
...
@@ -38,22 +39,27 @@ def get_domain(ref_dir, ref_file, input_dates, target_dir, tracer=None):
latc
=
np
.
linspace
(
lat_min
-
dy
/
2.
,
lat_max
+
dy
/
2.
,
nlat
+
1
)
# Reconstruct alpha and beta
ecm_nlevs
=
int
(
len
(
pv
)
/
2
-
1
)
sigma_a
=
np
.
empty
(
ecm_nlevs
)
sigma_b
=
np
.
empty
(
ecm_nlevs
)
for
ii
in
range
(
ecm_nlevs
-
1
):
sigma_a
[
ii
]
=
(
pv
[
ecm_nlevs
-
ii
]
+
pv
[
ecm_nlevs
-
ii
-
1
])
/
2
sigma_b
[
ii
]
=
\
(
pv
[
1
+
2
*
ecm_nlevs
-
ii
]
+
pv
[
1
+
2
*
ecm_nlevs
-
ii
-
1
])
/
2
# Vertical crop if all hybrid levels are not available
sigma_a
=
sigma_a
[
ecm_nlevs
-
hybrid
[::
-
1
]]
sigma_b
=
sigma_b
[
ecm_nlevs
-
hybrid
[::
-
1
]]
ecm_nlevs
=
hybrid
.
size
# Forcing non zero top level
if
sigma_a
[
-
1
]
==
0
:
sigma_a
[
-
1
]
=
sigma_a
[
-
2
]
/
100
if
hasattr
(
tracer
,
"surface"
):
if
tracer
.
surface
:
ecm_nlevs
=
1
sigma_a
=
np
.
array
([
0
])
sigma_b
=
np
.
array
([
1
])
else
:
ecm_nlevs
=
int
(
len
(
pv
)
/
2
-
1
)
sigma_a
=
np
.
empty
(
ecm_nlevs
)
sigma_b
=
np
.
empty
(
ecm_nlevs
)
for
ii
in
range
(
ecm_nlevs
-
1
):
sigma_a
[
ii
]
=
(
pv
[
ecm_nlevs
-
ii
]
+
pv
[
ecm_nlevs
-
ii
-
1
])
/
2
sigma_b
[
ii
]
=
\
(
pv
[
1
+
2
*
ecm_nlevs
-
ii
]
+
pv
[
1
+
2
*
ecm_nlevs
-
ii
-
1
])
/
2
# Vertical crop if all hybrid levels are not available
sigma_a
=
sigma_a
[
ecm_nlevs
-
hybrid
[::
-
1
]]
sigma_b
=
sigma_b
[
ecm_nlevs
-
hybrid
[::
-
1
]]
ecm_nlevs
=
hybrid
.
size
# Forcing non zero top level
if
sigma_a
[
-
1
]
==
0
:
sigma_a
[
-
1
]
=
sigma_a
[
-
2
]
/
100
# Initializes domain
setup
=
Setup
.
from_dict
(
...
...
pycif/plugins/datastreams/fields/grib2_ecmwf/read.py
View file @
8d625035
...
...
@@ -2,7 +2,7 @@ import numpy as np
import
xarray
as
xr
from
.utils
import
grib_file_reader
from
logging
import
info
def
read
(
self
,
...
...
@@ -12,27 +12,51 @@ def read(
files
,
interpol_flx
=
False
,
comp_type
=
None
,
tracer
=
None
,
**
kwargs
):
xout
=
[]
outdates
=
[]
for
dd
,
dd_file
in
zip
(
dates
,
files
):
jscan
=
grib_file_reader
(
dd_file
,
[],
'jScansPositively'
)
spec
=
grib_file_reader
(
dd_file
,
varnames
)
spec_cum
=
[]
for
ddi_file
in
dd_file
:
jscan
=
grib_file_reader
(
ddi_file
,
[],
'jScansPositively'
)
speci
=
grib_file_reader
(
ddi_file
,
varnames
)
# Flip latitudes if jscan = 0
if
jscan
==
0
and
tracer
.
surface
==
False
:
speci
=
speci
[:,
::
-
1
,
:]
elif
jscan
==
0
and
tracer
.
surface
:
speci
=
speci
[::
-
1
,
:]
# Flip levels if not surface field
if
tracer
.
surface
==
False
:
speci
=
speci
[::
-
1
,
...]
spec_cum
.
append
(
speci
)
# decumulation if decumul
if
hasattr
(
tracer
,
"decumul"
):
if
tracer
.
decumul
:
info
(
"DECUMULATION DONE"
)
if
len
(
spec_cum
)
>
1
:
spec
=
spec_cum
[
1
]
-
spec_cum
[
0
]
else
:
info
(
'impossible DECUMULATION ?'
)
spec
=
spec_cum
[
0
]
else
:
spec
=
spec_cum
[
0
]
else
:
spec
=
spec_cum
[
0
]
# Flip latitudes if jscan = 0
if
jscan
==
0
:
spec
=
spec
[:,
::
-
1
,
:]
# Flip levels anyway
xout
.
append
(
spec
[::
-
1
,
...])
xout
.
append
(
spec
)
outdates
.
append
(
dd
[
0
])
if
hasattr
(
tracer
,
"surface"
):
if
tracer
.
surface
:
xout
=
np
.
array
(
xout
)[:,
np
.
newaxis
,:
,:]
else
:
xout
=
np
.
array
(
xout
)
xmod
=
xr
.
DataArray
(
np
.
array
(
xout
)
,
xout
,
coords
=
{
"time"
:
outdates
},
dims
=
(
"time"
,
"lev"
,
"lat"
,
"lon"
),
)
return
xmod
pycif/plugins/datastreams/fields/grib2_ecmwf/utils.py
View file @
8d625035
...
...
@@ -56,19 +56,41 @@ def grib_file_reader(filepath, varname, attribute=None):
return
varout
def
find_valid_file
(
ref_dir
,
file_format
,
dd
,
ref_dir_next
):
def
find_valid_file
(
ref_dir
,
file_format
,
dd
,
ref_dir_next
,
ref_dir_previous
=
False
):
# Get all files and dates matching the file and format
list_files_orig
=
os
.
listdir
(
ref_dir
)
# Convert ref date
ref_date
=
datetime
.
datetime
.
strptime
(
dd
.
strftime
(
file_format
),
file_format
)
previous_date
=
ref_date
-
datetime
.
timedelta
(
hours
=
3
)
if
previous_date
.
month
<
ref_date
.
month
and
ref_dir_previous
:
try
:
list_files_orig
+=
os
.
listdir
(
ref_dir_previous
)
except
:
info
(
"Did not find any valid GRIB files in {} "
"with format {}"
.
format
(
ref_dir_previous
,
file_format
))
next_date
=
ref_date
+
datetime
.
timedelta
(
hours
=
3
)
if
next_date
.
month
>
ref_date
.
month
:
try
:
list_files_orig
+=
os
.
listdir
(
ref_dir_next
)
except
:
info
(
"Did not find any valid GRIB files in {} "
"with format {}"
.
format
(
ref_dir_previous
,
file_format
))
list_dates_cur
=
[]
list_files_cur
=
[]
for
f
in
list_files_orig
:
try
:
if
f
.
find
(
'idx'
)
<
0
:
list_dates_cur
.
append
(
datetime
.
datetime
.
strptime
(
f
,
file_format
))
list_files_cur
.
append
(
f
)
list_dates_cur
.
append
(
datetime
.
datetime
.
strptime
(
f
,
file_format
))
list_files_cur
.
append
(
f
)
except
:
continue
#info ("exception 24.grb I for {}".format(f))
try
:
if
f
.
find
(
'idx'
)
<
0
:
list_dates_cur
.
append
(
datetime
.
datetime
.
strptime
(
f
.
replace
(
'24.grb'
,
'23.grb'
),
file_format
)
+
datetime
.
timedelta
(
minutes
=
59
))
list_files_cur
.
append
(
f
)
except
:
#info ("exception 24.grb II for {}".format(f))
continue
list_files
=
np
.
array
(
list_files_cur
)
list_dates
=
np
.
array
(
list_dates_cur
)
...
...
@@ -77,58 +99,21 @@ def find_valid_file(ref_dir, file_format, dd, ref_dir_next):
isort
=
np
.
argsort
(
list_dates
)
list_dates
=
list_dates
[
isort
]
list_files
=
list_files
[
isort
]
if
list_files
==
[]:
raise
Exception
(
"Did not find any valid GRIB files in {} "
"with format {}. Please check your yml file"
.
format
(
ref_dir
,
file_format
))
# Convert ref date
ref_date
=
datetime
.
datetime
.
strptime
(
dd
.
strftime
(
file_format
),
file_format
)
# Compute deltas
mask
=
(
list_dates
-
ref_date
)
<=
datetime
.
timedelta
(
0
)
# find nearest previous date
file_ref1
=
ref_dir
+
list_files
[
mask
][
np
.
argmax
(
list_dates
[
mask
])]
date_ref1
=
list_dates
[
mask
].
max
()
mask
=
(
list_dates
-
ref_date
)
>=
datetime
.
timedelta
(
0
)
# If empty, try to look in the directory for the next month
if
len
(
list_dates
[
mask
])
==
0
:
list_files_next_orig
=
os
.
listdir
(
ref_dir_next
)
list_dates_next
=
[]
list_files_next
=
[]
for
f
in
list_files_next_orig
:
try
:
list_dates_next
.
append
(
datetime
.
datetime
.
strptime
(
f
,
file_format
))
list_files_next
.
append
(
f
)
except
:
continue
list_files_next
=
np
.
array
(
list_files_cur
+
list_files_next
)
list_dates_next
=
np
.
array
(
list_dates_cur
+
list_dates_next
)
# Sorting along dates
isort
=
np
.
argsort
(
list_dates_next
)
list_dates_next
=
list_dates_next
[
isort
]
list_files_next
=
list_files_next
[
isort
]
if
list_files_next
==
[]:
raise
Exception
(
"Did not find any valid GRIB files in {} "
"with format {}. Please check your yml file"
.
format
(
ref_dir_next
,
file_format
))
mask
=
(
list_dates_next
-
ref_date
)
>=
datetime
.
timedelta
(
0
)
file_ref2
=
ref_dir_next
+
list_files_next
[
mask
][
np
.
argmin
(
list_dates_next
[
mask
])]
date_ref2
=
list_dates_next
[
mask
].
min
()
else
:
file_ref2
=
ref_dir
+
list_files
[
mask
][
np
.
argmin
(
list_dates
[
mask
])]
date_ref2
=
list_dates
[
mask
].
min
()
# find nearest next date
file_ref2
=
ref_dir
+
list_files
[
mask
][
np
.
argmin
(
list_dates
[
mask
])
+
1
]
date_ref2
=
list_dates
[
mask
].
min
()
# Reconvert to original date
dd1
=
dd
+
(
date_ref1
-
ref_date
)
...
...
pycif/plugins/datastreams/fields/netcdf_cams/__init__.py
View file @
8d625035
"""
Read CAMS products
Option to define pressure coordinate names depending on CAMS version
"""
from
.get_domain
import
get_domain
from
.fetch
import
fetch
from
.read
import
read
...
...
@@ -6,3 +12,13 @@ _name = "CAMS"
_version
=
"netcdf"
_fullname
=
"CAMS netcdf files"
input_arguments
=
{
"aibi_name"
:
{
"doc"
:
"to choose ai bi vertical coordinate names"
" instead of hyam and hybm"
,
"default"
:
False
,
"accepted"
:
bool
},
}
pycif/plugins/datastreams/fields/netcdf_cams/get_domain.py
View file @
8d625035
...
...
@@ -61,8 +61,12 @@ def get_domain(ref_dir, ref_file, input_dates, target_dir, tracer=None):
latc
=
np
.
linspace
(
lat_min
-
dy
/
2.
,
lat_max
+
dy
/
2.
,
nlat
+
1
)
# Read vertical information in domain_file
sigma_a
=
nc
[
"hyam"
].
values
sigma_b
=
nc
[
"hybm"
].
values
if
tracer
.
aibi_name
:
sigma_a
=
nc
[
"ap"
].
values
sigma_b
=
nc
[
"bp"
].
values
else
:
sigma_a
=
nc
[
"hyam"
].
values
sigma_b
=
nc
[
"hybm"
].
values
nlevs
=
sigma_a
.
size
# Initializes domain
...
...
pycif/plugins/datastreams/fields/netcdf_cams/read.py
View file @
8d625035
import
datetime
import
calendar
import
os
import
pandas
as
pd
import
numpy
as
np
...
...
@@ -50,21 +51,24 @@ def read(
opened_file
=
dd_file
ntimes
=
ds
.
dims
[
"time"
]
freq
=
pd
.
DatetimeIndex
([
dd
[
0
]]).
days_in_month
[
0
]
*
24
/
ntimes
date_index
=
int
((
dd
[
0
]
-
ddi
)
/
datetime
.
timedelta
(
hours
=
freq
))
# bottom of the atmosphere = at the beginning of the table
lat
=
ds
[
'latitude'
]
conc
=
ds
[
var2extract
].
values
[
date_index
]
if
lat
[
1
]
<
lat
[
0
]:
conc
=
conc
[:,
::
-
1
,
:]
if
lat
[
1
]
<
lat
[
0
]
and
conc
.
ndim
==
4
:
conc
=
conc
[:,
:,
::
-
1
,
:]
elif
lat
[
1
]
<
lat
[
0
]
and
conc
.
ndim
==
3
:
conc
=
conc
[
:,
::
-
1
,
:]
xout
.
append
(
conc
)
xmod
=
xr
.
DataArray
(
np
.
array
(
xout
),
coords
=
{
"time"
:
np
.
array
(
dates
)[:,
0
]},
dims
=
(
"time"
,
"lev"
,
"lat"
,
"lon"
),
)
return
xmod
pycif/plugins/datastreams/fluxes/TNO_nc/__init__.py
0 → 100644
View file @
8d625035
"""
Read TNO yearly fluxes and apply time profil
Time profile is considered in UTC. Time zone does not taken into account.
All the profil files are mandatory even the vertical one.
If point_sources: True, vertical profil is also applied
WARNING : Currently PS are put in the TNO grid
"""
from
.fetch
import
fetch
from
.get_domain
import
get_domain
from
.read
import
read
from
.write
import
write
_name
=
"TNO"
_version
=
"netcdf"
input_arguments
=
{
"point_sources"
:
{
"doc"
:
"Point Soucre type"
"If True, enable to have vertical projection"
"Default: False"
,
"default"
:
False
,
"accepted"
:
bool
},
"dir_profils"
:
{
"doc"
:
""
"Directory where the time and vertical profils are"
" files should be TNO_height-distribution_GNFR.csv, "
" timeprofiles-month-in-year_GNFR.csv, "
" timeprofiles-day-in-week_GNFR.csv, "
" timeprofiles-hour-in-day_GNFR.csv"
""
,
"accepted"
:
str
,
"default"
:
False
}
}
pycif/plugins/datastreams/fluxes/TNO_nc/fetch.py
0 → 100644
View file @
8d625035
import
datetime
import
glob
import
os
import
pandas
as
pd
import
numpy
as
np
from
pycif.utils
import
path
from
.utils
import
find_valid_file
def
fetch
(
ref_dir
,
ref_file
,
input_dates
,
target_dir
,
tracer
=
None
,
**
kwargs
):
# Inputs:
#---------
# ref_dir: directory where the original files are found
# ref_file: (template) name of the original files
# input_dates: list of the periods to simulate, each item is the list of the dates of the period
# target_dir: directory where the links to the orginal files are created
#
# Ouputs:
#---------
# list_files: for each date that begins a period, an array containing the names of the files that are available
# for the dates within this period
# list_dates: for each date that begins a period, an array containing the names of the dates mathcin the files
# listed in list_files
list_period_dates
=
pd
.
date_range
(
input_dates
[
0
],
input_dates
[
1
],
freq
=
"1D"
)
list_dates
=
{}
list_files
=
{}
for
dd
in
list_period_dates
:
dir_dd
=
dd
.
strftime
(
ref_dir
)
dir_dd_next
=
(
dd
+
datetime
.
timedelta
(
hours
=
1
)).
strftime
(
ref_dir
)
dir_dd_previous
=
(
dd
-
datetime
.
timedelta
(
hours
=
1
)).
strftime
(
ref_dir
)
files_3d
,
dates_3d
=
find_valid_file
(
dir_dd
,
ref_file
,
dd
,
dir_dd_next
,
ref_dir_previous
=
dir_dd_previous
)
list_hours
=
pd
.
date_range
(
dd
,
dd
+
datetime
.
timedelta
(
hours
=
23
),
freq
=
"1H"
)
if
os
.
path
.
isfile
(
files_3d
[
0
]):
#list_dates[dd] = [[dd, dd + datetime.timedelta(hours=1)]]
#list_files[dd] = [files_3d]* len(list_dates[dd])
list_dates
[
dd
]
=
[[
hh
,
hh
+
datetime
.
timedelta
(
hours
=
1
)]
for
hh
in
list_hours
]
list_files
[
dd
]
=
[
files_3d
]
# the to fetch is a forecast
local_files
=
[]
target_file
=
"{}/{}"
.
format
(
target_dir
,
dd
.
strftime
(
ref_file
))
path
.
link
(
files_3d
[
0
],
target_file
)
local_files
.
append
(
target_file
)
return
list_files
,
list_dates
pycif/plugins/datastreams/fluxes/TNO_nc/get_domain.py
0 → 100644
View file @
8d625035
import
numpy
as
np
import
xarray
as
xr
import
glob
import
datetime
import
os
from
pycif.utils.classes.setup
import
Setup
from
logging
import
info
def
get_domain
(
ref_dir
,
ref_file
,
input_dates
,
target_dir
,
tracer
=
None
):
# Inputs:
#---------
# ref_dir: directory where the original files are found
# ref_file: (template) name of the original files
# input_dates: list of the periods to simulate, each item is the list of the dates of the period
# target_dir: directory where the links to the orginal files are created
#
# Ouputs:
#---------
# setup of the domain in section "Initializes domain"
# Looking for a reference file to read lon/lat in
list_file
=
glob
.
glob
(
"{}/*nc"
.
format
(
ref_dir
))
domain_file
=
None
# Either a file is specified in the Yaml
if
ref_file
in
list_file
:
domain_file
=
"{}/{}"
.
format
(
ref_dir
,
ref_file
)
# Or loop over available file regarding file pattern
else
:
for
flx_file
in
list_file
:
try
:
date
=
datetime
.
datetime
.
strptime
(
os
.
path
.
basename
(
flx_file
),
ref_file
)
domain_file
=
flx_file
break
except
ValueError
:
continue
if
domain_file
is
None
:
raise
Exception
(
"TNO domain could not be initialized as no file was found"
)
# Read lon/lat in
nc
=
xr
.
open_dataset
(
domain_file
,
decode_times
=
False
)
llon
=
nc
[
'longitude'
].
values
llat
=
nc
[
'latitude'
].
values
llonb
=
nc
[
'longitude_bounds'
].
values
llatb
=
nc
[
'latitude_bounds'
].
values
# compute the corner matrix
resol_lon
=
1.
/
10
resol_lat
=
1.
/
20
llonc
=
np
.
append
(
llon
-
resol_lon
*
0.5
,
llon
[
-
1
]
+
resol_lon
*
0.5
)
llatc
=
np
.
append
(
llat
-
resol_lat
*
0.5
,
llat
[
-
1
]
+
resol_lat
*
0.5
)
lon
,
lat
=
np
.
meshgrid
(
llon
,
llat
)
lonc
,
latc
=
np
.
meshgrid
(
llonc
,
llatc
)
nlat
,
nlon
=
lat
.
shape
[
0
],
lat
.
shape
[
1
]
#print('Get the min and max latitude and longitude of centers + the number of longitudes and latitudes')
lon_min
=
lon
.
min
()
#- (lon[1] - lon[0]) / 2
lon_max
=
lon
.
max
()
#+ (lon[-1] - lon[-2]) / 2
lat_min
=
lat
.
min
()
#- (lat[1] - lat[0]) / 2
lat_max
=
lat
.
max
()
#+ (lat[-1] - lat[-2]) / 2
info
(
'lon min {}, lon max {}'
.
format
(
lon_min
,
lon_max
))
info
(
'lat min {}, lat max {}'
.
format
(
lat_min
,
lat_max
))
if
tracer
.
point_sources
==
False
:
#If no vetical dimension for emissions, provide dummy vertical
punit
=
"Pa"
nlevs
=
1
sigma_a
=
np
.
array
([
0
])
sigma_b
=
np
.
array
([
1
])
# Initializes domain
setup
=
Setup
.
from_dict
(
{
"domain"
:
{
"plugin"
:
{
"name"
:
"dummy"
,
"version"
:
"std"
,
"type"
:
"domain"
,
},
"xmin"
:
lon_min
,
# minimum longitude for centers
"xmax"
:
lon_max
,
# maximum longitude for centers
"ymin"
:
lat_min
,
# minimum latitude for centers
"ymax"
:
lat_max
,
# maximum latitude for centers
"nlon"
:
nlon
,
# number of longitudinal cells
"nlat"
:
nlat
,
# number of latitudinal cells