METdataio read_netcd work for zonal mean data when an array of times is input. However, with a single time step, the script fails with the following error:
Traceback (most recent call last):
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/coding/times.py", line 285, in decode_cf_datetime
dates = _decode_datetime_with_pandas(flat_num_dates, units, calendar)
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/coding/times.py", line 218, in _decode_datetime_with_pandas
raise OutOfBoundsDatetime(
pandas._libs.tslibs.np_datetime.OutOfBoundsDatetime: Cannot decode times from a non-standard calendar, 'julian', using pandas.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/coding/times.py", line 184, in _decode_cf_datetime_dtype
result = decode_cf_datetime(example_value, units, calendar, use_cftime)
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/coding/times.py", line 287, in decode_cf_datetime
dates = _decode_datetime_with_cftime(
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/coding/times.py", line 208, in _decode_datetime_with_cftime
cftime.num2date(num_dates, units, calendar, only_use_cftime_datetimes=True)
File "src/cftime/_cftime.pyx", line 617, in cftime._cftime.num2date
File "src/cftime/_cftime.pyx", line 414, in cftime._cftime.cast_to_int
OverflowError: time values outside range of 64 bit signed integers
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/conventions.py", line 551, in decode_cf_variables
new_vars[k] = decode_cf_variable(
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/conventions.py", line 397, in decode_cf_variable
var = times.CFDatetimeCoder(use_cftime=use_cftime).decode(var, name=name)
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/coding/times.py", line 716, in decode
dtype = _decode_cf_datetime_dtype(data, units, calendar, self.use_cftime)
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/coding/times.py", line 194, in _decode_cf_datetime_dtype
raise ValueError(msg)
ValueError: unable to decode time units 'days since 2018-02-12' with "calendar 'julian'". Try opening your dataset with decode_times=False or installing cftime if it is not installed.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/glade/u/home/kalb/stratosphere/METplus/parm/use_cases/model_applications/s2s_stratosphere/UserScript_fcstGFS_obsERA_StratospherePolar/polar_t_u_driver.py", line 112, in
main()
File "/glade/u/home/kalb/stratosphere/METplus/parm/use_cases/model_applications/s2s_stratosphere/UserScript_fcstGFS_obsERA_StratospherePolar/polar_t_u_driver.py", line 47, in main
dsO = file_reader.read_into_xarray(obs_infiles)[0]
File "/glade/u/home/kalb/stratosphere/METdataio/METreadnc/util/read_netcdf.py", line 70, in read_into_xarray
file_data = xr.open_dataset(file)
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/backends/api.py", line 541, in open_dataset
backend_ds = backend.open_dataset(
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1py3.10/lib/python3.10/site-packages/xarray/backends/netCDF4.py", line 592, in open_dataset
ds = store_entrypoint.open_dataset(
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/backends/store.py", line 35, in open_dataset
vars, attrs, coord_names = conventions.decode_cf_variables(
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/conventions.py", line 562, in decode_cf_variables
raise type(e)(f"Failed to decode variable {k!r}: {e}")
ValueError: Failed to decode variable 'time': unable to decode time units 'days since 2018-02-12' with "calendar 'julian'". Try opening your dataset with decode_times=False or installing cftime if it is not installed.
Expected Behavior
It should successfully read data with a single time step or an array of times
Environment
Describe your runtime environment:
1. derecho
2. linux
3. Software version number(s)
[ ] Submit a pull request to merge into main_\.
Pull request: bugfix <Issue Number> main_<Version> <Description>
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Select: Milestone as the next bugfix version
[ ] Iterate until the reviewer(s) accept and merge your changes.
[ ] Delete your fork or branch.
[ ] Complete the steps above to fix the bug on the develop branch.
Branch name: bugfix_<Issue Number>_develop_<Description>
Pull request: bugfix <Issue Number> develop <Description>
Select: Reviewer(s) and Development issues
Select: Repository level development cycle Project for the next official release
Select: Milestone as the next official version
Describe the Problem
METdataio read_netcd work for zonal mean data when an array of times is input. However, with a single time step, the script fails with the following error: Traceback (most recent call last): File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/coding/times.py", line 285, in decode_cf_datetime dates = _decode_datetime_with_pandas(flat_num_dates, units, calendar) File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/coding/times.py", line 218, in _decode_datetime_with_pandas raise OutOfBoundsDatetime( pandas._libs.tslibs.np_datetime.OutOfBoundsDatetime: Cannot decode times from a non-standard calendar, 'julian', using pandas.
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/coding/times.py", line 184, in _decode_cf_datetime_dtype result = decode_cf_datetime(example_value, units, calendar, use_cftime) File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/coding/times.py", line 287, in decode_cf_datetime dates = _decode_datetime_with_cftime( File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/coding/times.py", line 208, in _decode_datetime_with_cftime cftime.num2date(num_dates, units, calendar, only_use_cftime_datetimes=True) File "src/cftime/_cftime.pyx", line 617, in cftime._cftime.num2date File "src/cftime/_cftime.pyx", line 414, in cftime._cftime.cast_to_int OverflowError: time values outside range of 64 bit signed integers
During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/conventions.py", line 551, in decode_cf_variables new_vars[k] = decode_cf_variable( File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/conventions.py", line 397, in decode_cf_variable var = times.CFDatetimeCoder(use_cftime=use_cftime).decode(var, name=name) File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/coding/times.py", line 716, in decode dtype = _decode_cf_datetime_dtype(data, units, calendar, self.use_cftime) File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/coding/times.py", line 194, in _decode_cf_datetime_dtype raise ValueError(msg) ValueError: unable to decode time units 'days since 2018-02-12' with "calendar 'julian'". Try opening your dataset with decode_times=False or installing cftime if it is not installed.
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "/glade/u/home/kalb/stratosphere/METplus/parm/use_cases/model_applications/s2s_stratosphere/UserScript_fcstGFS_obsERA_StratospherePolar/polar_t_u_driver.py", line 112, in
main()
File "/glade/u/home/kalb/stratosphere/METplus/parm/use_cases/model_applications/s2s_stratosphere/UserScript_fcstGFS_obsERA_StratospherePolar/polar_t_u_driver.py", line 47, in main
dsO = file_reader.read_into_xarray(obs_infiles)[0]
File "/glade/u/home/kalb/stratosphere/METdataio/METreadnc/util/read_netcdf.py", line 70, in read_into_xarray
file_data = xr.open_dataset(file)
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/backends/api.py", line 541, in open_dataset
backend_ds = backend.open_dataset(
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1py3.10/lib/python3.10/site-packages/xarray/backends/netCDF4.py", line 592, in open_dataset
ds = store_entrypoint.open_dataset(
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/backends/store.py", line 35, in open_dataset
vars, attrs, coord_names = conventions.decode_cf_variables(
File "/glade/work/dtcrt/METplus/derecho/miniconda/miniconda3/envs/metplus_v5.1_py3.10/lib/python3.10/site-packages/xarray/conventions.py", line 562, in decode_cf_variables
raise type(e)(f"Failed to decode variable {k!r}: {e}")
ValueError: Failed to decode variable 'time': unable to decode time units 'days since 2018-02-12' with "calendar 'julian'". Try opening your dataset with decode_times=False or installing cftime if it is not installed.
Expected Behavior
It should successfully read data with a single time step or an array of times
Environment
Describe your runtime environment: 1. derecho 2. linux 3. Software version number(s)
To Reproduce
Describe the steps to reproduce the behavior: 1. Go to '...' 2. Click on '....' 3. Scroll down to '....' 4. See error Post relevant sample data following these instructions: https://dtcenter.org/community-code/model-evaluation-tools-met/met-help-desk#ftp
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