Whether you like your weather data local, pushed to you by the Unidata Local Data Manager (LDM) through the Internet Data Distribution (IDD) project, or stored remotely and accessed on demand as needed, the Department of Atmospheric and Oceanic Sciences at the University of Wisconsin – Madison (UW-AOS) has you covered.
The UW-AOS Department has been helping to make weather data available to the Unidata community since the early days of the IDD project. An upgraded ingest and relay cluster, made possible by funding from the 2018 Unidata Equipment Awards grant program, has now enabled UW-AOS to serve the GOES16 and GOES17 data along with everything else to additional downstream sites.
You may have noticed that Unidata Program Center developer Ryan May spends a bit of his time evangelizing the use of the Python language in the atmospheric sciences. This week he appears over on Johnny Lin's PyAOS (Python for the Atmospheric and Oceanic Sciences) blog, weighing in on the future of AOS Python.
