Dear climlist readers,
We are pleased to introduce the "aospy" Python package. Version 0.1.2,
our first publicly advertised release, is now available. After 2+ years
of development and our own personal use of aospy, we are now actively
seeking new users!
aospy is an open source Python package that provides tools for
automating analyses of netCDF climate data across different simulations
(or observational datasets), physical variables, time ranges, and many
other parameters. Using aospy, arbitrarily many calculations can be
submitted with a single command to be executed; the results are then
saved as netCDF files in a highly organized directory structure with
metadata-rich filenames, making it easy to subsequently find and use the
results. Under the hood, aospy relies heavily on the xarray package.
You can install aospy with conda or pip:
conda install -c conda-forge aospy
pip install aospy
aospy comes with sample netCDF data, an example "object library" of
aospy objects that can be used to interact with that data, and a "main"
script that can be run out-of-the-box to demonstrate the automation of
calculations across multiple parameter settings. From the
aospy/examples directory:
python ./aospy_main.py
For more details:
- Documentation: <http://aospy.readthedocs.io/en/latest/>
- Github repo: <https://github.com/spencerahill/aospy>
- Mailing list: <https://groups.google.com/d/forum/aospy>
Both of us (aospy's core developers) use aospy for the majority of our
own climate modeling research. We frequently use it to submit 1000s of
calculations at once for automatic execution. Having seen our own
research substantially improved thanks to aospy, we are eager for others
to do the same!
Please get in touch through our mailing list or by raising an Issue on
our repo with any questions/comments/anything else. Thanks!
Best,
aospy’s core developers, Spencer Hill and Spencer Clark
--
Spencer Hill
Postdoc, UCLA AOS & Caltech GPS
shill@atmos.ucla.edu <mailto:shill@atmos.ucla.edu>
shill@gps.caltech.edu <mailto:shill@gps.caltech.edu>
http://people.atmos.ucla.edu/shill
Dear climlist readers,
We are pleased to introduce the "aospy" Python package. Version 0.1.2,
our first publicly advertised release, is now available. After 2+ years
of development and our own personal use of aospy, we are now actively
seeking new users!
aospy is an open source Python package that provides tools for
automating analyses of netCDF climate data across different simulations
(or observational datasets), physical variables, time ranges, and many
other parameters. Using aospy, arbitrarily many calculations can be
submitted with a single command to be executed; the results are then
saved as netCDF files in a highly organized directory structure with
metadata-rich filenames, making it easy to subsequently find and use the
results. Under the hood, aospy relies heavily on the xarray package.
You can install aospy with conda or pip:
conda install -c conda-forge aospy
pip install aospy
aospy comes with sample netCDF data, an example "object library" of
aospy objects that can be used to interact with that data, and a "main"
script that can be run out-of-the-box to demonstrate the automation of
calculations across multiple parameter settings. From the
aospy/examples directory:
python ./aospy_main.py
For more details:
- Documentation: <http://aospy.readthedocs.io/en/latest/>
- Github repo: <https://github.com/spencerahill/aospy>
- Mailing list: <https://groups.google.com/d/forum/aospy>
Both of us (aospy's core developers) use aospy for the majority of our
own climate modeling research. We frequently use it to submit 1000s of
calculations at once for automatic execution. Having seen our own
research substantially improved thanks to aospy, we are eager for others
to do the same!
Please get in touch through our mailing list or by raising an Issue on
our repo with any questions/comments/anything else. Thanks!
Best,
aospy’s core developers, Spencer Hill and Spencer Clark
--
Spencer Hill
Postdoc, UCLA AOS & Caltech GPS
shill@atmos.ucla.edu <mailto:shill@atmos.ucla.edu>
shill@gps.caltech.edu <mailto:shill@gps.caltech.edu>
http://people.atmos.ucla.edu/shill