Closed DaniJonesOcean closed 3 months ago
@DaniJonesOcean I played around with xarray using the 1995 GLSEA data, which is in NetCDF format. I have provided plots comparing surface temperature across the lakes in January and June of 1995 and also a plot looking sst at a random point in the lakes across 1995. Lastly, I attempted to plot the average temperature at each lat/lon of the lakes. Let me know if that does not look right.
@eredding02 - Looks great!
@eredding02 Feel free to close when you're ready
Issue Description:
xarray is a powerful Python library designed to make working with labeled multi-dimensional arrays simple, efficient, and fun. This issue is dedicated to learning xarray, which is particularly well-suited to working with NetCDF data files, a common format for array-oriented scientific data with labels in the form of dimensions, coordinates, and attributes.
Learning Objectives:
DataArray
andDataset
, and how to perform computation and plotting.Task:
Deliverable:
Resources:
By completing this issue, you'll be equipped with essential skills to handle our project’s datasets more efficiently and be prepared for advanced data analysis and visualization.