Describe the topic for the talk
Climate Data Operators (CDO, https://code.mpimet.mpg.de/projects/cdo) is a versatile and fast (yet not too well-known) tool for processing, averaging, regridding ... gridded climate (model) data. One drawback is that it is a command line tool written in C++, so it doesn't integrate naturally into a Python/Xarray workflow. In this talk, we'll introduce CDO's powerful functionality and demonstrate how it can be used directly in Python using the python-cdo package.
Describe the benefit
CDO is a bit of a niche application designed for climate/atmospheric/ocean GCM output, although it might also work to some extent with other netCDF data. So, I hope it will be of enough interest for IMAUers. For those who know (and use) CDO already, the python-cdo package might add something new.
Would you be capable/willing to give the talk?
Yes
Describe the topic for the talk
Climate Data Operators (CDO, https://code.mpimet.mpg.de/projects/cdo) is a versatile and fast (yet not too well-known) tool for processing, averaging, regridding ... gridded climate (model) data. One drawback is that it is a command line tool written in C++, so it doesn't integrate naturally into a Python/Xarray workflow. In this talk, we'll introduce CDO's powerful functionality and demonstrate how it can be used directly in Python using the
python-cdopackage.Describe the benefit
CDO is a bit of a niche application designed for climate/atmospheric/ocean GCM output, although it might also work to some extent with other netCDF data. So, I hope it will be of enough interest for IMAUers. For those who know (and use) CDO already, the python-cdo package might add something new.
Would you be capable/willing to give the talk?
Yes