CyberTraining for Water, Climate, and Environment (AGU 2025)
About
This meeting will equip participants with the skills to access, integrate, and process a variety of data types for hydrologic applications using the cybertraining infrastructure. The training highlights FAIR data principles and demonstrates how artificial intelligence–based tools can enhance hydrologic analysis. Working knowledge of Python is preferred but not required.
Modules
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AGU2025-Preworkshop Survey
Module 1 •
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Geospatial & Hydrological Science: DEM Access and Visualization from USGS AWS [v10]
Module 2 • 30 minutes
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Geospatial & Hydrological Science: DEM Processing and Topographic Wetness Index (TWI) [v3]
Module 3 • 30 minutes
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AGU25_CAMELS-Part1: CAMELS-Like Hydrometeorological Time Series Data Preparation for USGS Basins
Module 4 • 1 hour
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AGU25_CAMELS-Part2: CAMELS-Like Hydrometeorological Time Series Data Preparation for USGS Basins
Module 5 • 1 hour
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AGU2025-Postworkshop Survey
Module 6 •
Instructor
Jibin Joseph
Mohammad Galib
Discussions
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