A Python Workshop To Efficiently Access, Deliver, Visualize, and Analyze Big Environmental Data in the Cloud

Unlock the power of Python to access, process, and visualize petabytes of environmental data in the cloud. In this 4-hour hands-on workshop, you’ll connect to real-world climatological and meteorological datasets, including the petabytes-large Coupled Model Intercomparison Project (CMIP6) and NOAA's hourly Real-Time Mesoscale Analysis (RTMA) data, stored in Amazon S3 and Google Cloud Storage. Learn to efficiently retrieve and analyze data using Dask, Xarray, and fsspec, all without downloading or storing massive files locally. From lazy loading and data chunking to spatiotemporal analysis and visualization, you’ll master the tools and workflows needed to work with big environmental data at scale.