Given that I love to teach, here is a lesson on re-gridding GRIB data with both the fundamentals and how to implement these fundamentals in Python using numpy and xarray. This isn't always needed, but when a 2D array shows up as a 1D array it is necessary in order to plot the data. #MetEd #Python
In this Jupyter Lab Tutorial we use FireWxPy to create both a NAM and a RAP time cross-section forecast using the custom lat/lon for the LO1 Buoy on Lake Ontario to analyze the Lake-Effect Snow potential. #python #dataviz #wxsky #wxblue #snow #nywx #MetEd #lakeeffect
github.com/edrewitz/Fir...
I created a new github repository and moved all the FireWxPy Jupyter Lab examples in there. I provided a link to the new examples guide in the old markdown file that was the old examples guide. #python #dataviz #wxsky #wxblue #firewx #MetEd
github.com/edrewitz/Fir...
In Episode 8 of the FireWxPy Tutorial Series, I show you how to make a custom plot of the NWS Maximum Temperature Forecast. When making a custom plot (custom bounds), we also need to play around with optional arguments that don't need to be touched normally. #python #MetEd #dataviz #wxsky #wxblue
New FireWxPy tutorial! How to plot observed soundings using FireWxPy. In this video you can watch me plot the latest observed sounding for Vandenburg, California. #python #dataviz #tutorials #wxsky #wxblue #MetEd
www.youtube.com/watch?v=z_Qu...
Episode 6 has dropped! In this video we use FireWxPy to download a subsetted GFS dataset and then pass our dataset into two different plotting functions to plot the temperature and RH forecast for California. #python #dataviz #firewx #MetEd #meteorology #wxsky
www.youtube.com/watch?v=VsW-...
