This MetPy Monday episode begins a two-part tutorial on calculating temperature gradients from gridded model data in Python.

This MetPy Monday tutorial shows how to retrieve GOES satellite archive data and plot it in Python using MetPy's declarative plotting interface.

This MetPy Monday tutorial shows how to work with NEXRAD Level II radar data in Python and turn raw radar volume data into a useful reflectivity map.

This MetPy Monday tutorial shows how to access and plot NEXRAD Level III radar data directly from a remote archive using MetPy.

This MetPy Monday tutorial shows how to automatically identify and plot high and low pressure centers on a weather map.

This MetPy Monday tutorial demonstrates how to access GFS analysis data from a THREDDS Data Server for use in Python case study workflows.

This MetPy Monday tutorial demonstrates how to create an Emagram in Python using MetPy’s upper-air plotting tools.

This MetPy Monday tutorial shows how to create a Stüve diagram in Python using MetPy’s new Stüve plotting tools.

This MetPy Monday episode introduces a new series focused on the latest features in MetPy and practical workflows for meteorological data analysis in Python.

In partnership with the NOAA/NWS National Centers for Environmental Prediction (NCEP) through the Cooperative Opportunity for NCEP Data Using IDD Technology (CONDUIT) program, the NSF Unidata Program Center is pleased to announce the availability of artificial intelligence (AI)-driven global weather prediction model output in NSF Unidata datastreams.