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Cooperative Institute for Research to Operations in Hydrology

Essential Geospatial Data and Coding Skills for CIROH Researchers

Essential Geospatial Data and Coding Skills for CIROH Researchers

Day 1 Session 1 (10:30AM)

Presenters:

Tony Castronova (CUAHSI)
Abner Bogan (CUAHSI)
Danielle Tijerina-Kreuzer (CUAHSI)
Irene Garousi-Nejad (CUAHSI)

This workshop equips participants with foundational geospatial data and coding skills essential for conducting research and contributing to CIROH science. Through hands-on, interactive coding exercises, participants will gain practical experience with tools and capabilities central to CIROH research while working through science use cases centered on CIROH high-value datasets.

Topics include accessing and using JupyterHub cloud computing resources, commonly used scientific Python libraries and analytical techniques, and creating scalable, shareable cloud-based analyses that leverage large datasets.

By the end of the workshop, participants will have a comprehensive understanding of available CIROH tools, techniques, and resources needed to effectively engage in CIROH research activities and maximize research productivity and impact.

Workshop Slides

Learning Outcomes:

  • Set up and execute scientific workflows in the CIROH cloud computing environment using JupyterHub and Python
  • Use data visualization techniques to explore, visualize, and subset large scientific high-value datasets
  • Create and share reproducible scientific workflows using community data repositories such as HydroShare
  • Share and publish project data, models, and workflows with associated metadata in HydroShare or other repositories

Prerequisites:

  • Knowledge:
    • Familiarity with the Python programming language
    • Familiarity with scientific data management principles
  • Accounts:
    • GitHub
    • HydroShare
    • CIROH-2i2c JupyterHub workshop hub