Heiko Klein

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Thanks for looking into that. I've just compiled your c-program against 4.8.1 and am running it with the following output: ``` $ ./test_netcdf after creation of files: 143MB memory-leak per...

While looking again at your program and I found an issue with your code reading var 0-5, while the data-variables varids are 4 to 8 (in my case). Updated version...

I compiled now the latest netcdf-version from git and I don't see the huge memory-consumption any longer, even after looking to adapt the new chunk-sizes. This solves this issue. Looking...

I'm also struggling with the problem and I have simplified the code a bit more: ```python3 import xarray import numpy as np import os import sys filename = 'test_mrc.nc' if...

I just managed to upgrade my xarray to 2024.03.0 (pinning the version) and still get the error, though it works sometimes? ``` $ conda install xarray=2024.3.0 ... $ conda list...

If (2) only occurs in private methods, we don't need to document or implement the no-longer existing dict-like behaviour.

@charlienegri is trying to run the cams2_83 collocation with hourly statistics

mda8 is implemented (@charlienegri ) no2 hourly currently takes too long time due to a performance bug in regional statistics #1277 blocking the implementation

@charlienegri made a new test of fairmode / hourly data: - reading observations is no problem - current production runs about 12h, all 6-7 variables (O3/O3MDA), 16.6G memory-consumption, only daily...