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The files are under the "EIMPs_winter_2017_2018_ECOC_Levo" folder. The other folder can be read by PR #31, but with a new EBAS reader, that reader might become redundant
The text was updated successfully, but these errors were encountered:
Note:
In principle it should have been possible to read these files with pyaerocom using the read_file method of the ReadEbas class. Unfortunately the format is slighly different to what we usually get:
File "/home/jang/micromamba/envs/pyadev-applied/lib/python3.11/site-packages/pyaerocom/io/read_ebas.py", line 1318, in find_var_cols
col = self._find_best_data_column(cols, self.get_ebas_var(var), file)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/jang/micromamba/envs/pyadev-applied/lib/python3.11/site-packages/pyaerocom/io/read_ebas.py", line 951, in _find_best_data_column
raise EbasFileError(
pyaerocom.exceptions.EbasFileError: Cannot infer data statistics for data column name: organic_carbon, unit: ug C/m3, is_var: True, is_flag: False, flag_col: 11, detection_limit: 0.08 ug C/m3. Neither column nor file meta specifications include information about data statistics
We might want to discuss to which extend we reimplement the EBAS reader in pyaro-readers, e.g. should pyaro deliver the data in terms of pyaerocom variables or in terms of EBAS variables. This is unfortunately not a 1:1 relationship
Summary from discussion @ the pyaro-dev channel: implement seperate reader here. The original one in pyaerocom will not be working anymore as soon as the ACTRIS EBAS reader is working due to no new data.
The NILU PMF data that I want to read is found here: https://secondary-data-archive.nilu.no/ebas/gen.h8ds-8596/EIMPs_winter2017-2018_data.zip
The files are under the "EIMPs_winter_2017_2018_ECOC_Levo" folder. The other folder can be read by PR #31, but with a new EBAS reader, that reader might become redundant
The text was updated successfully, but these errors were encountered: