The University of Wyoming (UWyo), in collaboration with UCLA, has developed a comprehensive suite of downscaled Global Circulation Models (GCMs) at a 9km resolution for the western United States. This dataset spans the years 1980-2100 and is available at daily, monthly, and annual (water year) temporal resolutions. Given the significant computational resources and carbon footprint associated with producing these datasets, as well as their substantial storage requirements, it is essential to make this valuable information more accessible to researchers and analysts. To promote reuse and reproducibility, UWyo now offers cloud-based access to these datasets. Utilizing Cloud Optimized GeoTiff (COG) file formats in conjunction with Open API endpoints, users can retrieve data on-demand, bypassing the need to download entire datasets. This workshop will provide hands-on examples using R, Python, and/or JavaScript to access and process these datasets in real-time. Participants will learn how to read geometry layers from web services, extract tabular data from APIs (e.g. converting JSON to data frames), and process cloud-optimized raster datasets. All necessary software and data will be provided, and participants are expected to have the required software installed prior to the course.
