Articles | Volume 17, issue 5
https://doi.org/10.5194/essd-17-2035-2025
https://doi.org/10.5194/essd-17-2035-2025
Data description paper
 | 
13 May 2025
Data description paper |  | 13 May 2025

Discrete global grid system flow routing datasets in the Amazon and Yukon basins

Chang Liao, Darren Engwirda, Matthew G. Cooper, Mingke Li, and Yilin Fang

Data sets

Discrete Global Grid System-based Flow Routing Datasets in the Amazon and Yukon Basins Chang Liao https://doi.org/10.5281/zenodo.8377765

Model code and software

Discrete Global Grid System-based Flow Routing Datasets in the Amazon and Yukon Basins Chang Liao https://doi.org/10.5281/zenodo.14968053

Reach a Python-based river network simplification algorithm D. Engwirda https://doi.org/10.5281/zenodo.8368261

hexwatershed Anaconda https://anaconda.org/conda-forge/hexwatershed

Interactive computing environment

HexWatershed tutorial Chang Liao https://mybinder.org/v2/gh/changliao1025/hexwatershed_tutorial/HEAD

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Short summary
Discrete global grid systems, or DGGS, are digital frameworks that help us organize information about our planet. Although scientists have used DGGS in areas like weather and nature, using them in the water cycle has been challenging because some core datasets are missing. We created a way to generate these datasets. We then developed the datasets in the Amazon and Yukon basins, which play important roles in our planet's climate. These datasets may help us improve our water cycle models.
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