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CyberTraining for Water, Climate, and Environment (AGU 2025)

6 modules

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.

Features
Type Course
Level Foundation

Modules

  • AGU2025-Preworkshop Survey

    Module 1

  • Geospatial & Hydrological Science: DEM Access and Visualization from USGS AWS [v10]

    Module 2 30 minutes

  • Geospatial & Hydrological Science: DEM Processing and Topographic Wetness Index (TWI) [v3]

    Module 3 30 minutes

  • AGU25_CAMELS-Part1: CAMELS-Like Hydrometeorological Time Series Data Preparation for USGS Basins

    Module 4 1 hour

  • AGU25_CAMELS-Part2: CAMELS-Like Hydrometeorological Time Series Data Preparation for USGS Basins

    Module 5 1 hour

  • AGU2025-Postworkshop Survey

    Module 6

Instructor

Jibin Joseph avatar

Jibin Joseph

63 modules
Mohammad Galib avatar

Mohammad Galib

7 modules
Venkatesh Merwade avatar

Venkatesh Merwade

Professor of Civil Engineering
41 modules

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