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NC² is a next-generation NetCDF viewer designed to replace traditional tools like NCview and Panoply. Built with scientific Python tools such as CartoPy and Matplotlib, NC² offers a versatile and user-friendly platform for visualizing and analyzing NetCDF data.
This Python 3 code processes the data from the CAMS Global Reanalysis (EAC4) monthly average fields to calculate the Vertical Scales for profiles of water vapor and sulfur compounds in the lower troposphere in the period 2003 - 2020 and include multiple variables.
UCLA Marine Data Visualization application/GUI in development in python for the Marine Operations Program at UCLA. Used to depict Ocean temperature along with GPS data ovelayed on a map. Check out the Marine Operations Program at: https://dept.atmos.ucla.edu/marineops
Python module for trajectory visualization. The module utilizes basemap or cartopy as a backgroup map and mathplotlib linecolections to plot the paths of the trajectories.
This projects focuses on using Norad provided TLE format data in order to track satellites orbiting around Earth and predict their overhead-passings using an analytical propagation estimator.