Join us for an immersive, full-day workshop designed to equip attendees with practical skills in accessing, processing, analyzing, and visualizing large-scale climate datasets stored in cloud repositories. This full-day Python programming workshop provides attendees with the applied experience necessary to programmatically access and efficiently process, analyze, and visualize massive climate datasets inside of cloud storage providers.
REGISTRATION RATES
Attendees will learn to navigate and leverage CMIP6-like climate data repositories stored in Google Cloud Storage and Amazon S3. We’ll develop efficient cloud pipelines using Python that process, load, and prepare climate data from the ECMWF (European Centre for Medium-Range Weather Forecasts) and NOAA-RTMA (Real-Time Mesoscale Analysis) repositories to generate stunning visualizations and conduct data-driven analysis.
Through hands-on training, attendees will leverage Python libraries capable of processing large-scale gridded climate data from cloud storage repositories. The skills gained from this workshop will allow attendees to filter, extract, slice, manipulate, analyze, and visualize different climate datasets, climate attributes, and temporal resolutions from any CMIP6-like climate data repository.
At the end of this Python workshop, attendees will be able to:
If you have questions regarding the course, please contact Ryan Paul Lafler.
Premier Analytics Consulting, LLC and San Diego State University
San Diego State University
City College of New York/NOAA-CESSRST Program