Welcome to Pangeo at AOES

This is a collection of information and example Jupyter Notebooks, for using the Python and the Pangeo Software stack for data analysis. This set of examples is specifically designed for the Mason AOES/COLA Servers, datasets available on our servers, and use cases around common data analyses used by our students and faculty.

The examples are also generally relevant for climate data analysis. Therefore, an External Tutorial is also provided in Binder for those without access to the Mason AOES/COLA Servers.

Prerequisites

• What you should know
• Data Access

Getting Started

• Why Python?
• What is Pangeo?
• Setting up Pangeo & other Python Packages on the COLA Servers
• Setting up Jupyter on COLA Servers
• Troubleshooting

Reading Data

• Read a netcdf file and make a contour plot of the data
• Read a grib file and make a contour plot of the data
• Read a file from an remote OPeNDAP server and make a contour plot of the data
• Read Fortran Binary Data Files

Climate Data Analysis Xarray

• Analysis using Xarray

Plotting using Matplotlib

• Making Plots Using Matplotlib

Maps using Cartopy

• Making Maps using Cartopy
• Making multi-panel plots using Cartopy
• Plotting weekly forecasts for all models

Hindcasts with climpred

• About climpred
• Calculate ENSO Skill as a Function of Initial Month vs. Lead Time
• Calculate the skill of a MJO Index as a function of lead time

Weather Data with Metpy

• About MetPy
• MetPy Constants and Units
• MetPy calc
• MetPy Plots
• Example 2: Analysis of ERA5 profiles

External Tutorial

• Why this External Tutorial?

Get Involved

• AOES Python Club
• Join the Conversation on Gitter
• Identify Issues
• Contribute to the Github Repository