The National Science Foundation EarthCube initiative is a community-driven project aimed at creating an integrated environment for the sharing of geoscience data and knowledge in an open, transparent, and inclusive manner. EarthCube is offering students in the United States an opportunity to apply for awards of up to $2000 to develop Python-based Jupyter notebooks leveraging EarthCube tools. Applications are due by April 1, 2021.
This is Part 2 of a series of notebooks showing how to plot GINI-formatted satellite data from a THREDDS server using MetPy and Siphon. In Part 1 we covered how to access and parse the data file. In this part, we cover:
This is the first of what we hope will be a series of posts showing how to use Python for weather analysis and create graphics for a variety of purposes. In this two-part post, we demonstrate plotting a water vapor satellite image, specifically using GINI formatted data. GINI is the format currently used for satellite data transmitted across NOAAPORT, and is available on Unidata's demonstration THREDDS server. This first part focuses on accessing the data using Siphon and MetPy; the second part will introduce plotting using CartoPy.
