Generative AI for Climate-Resilient Hydrology: Synthetic Data, Forecasting and Predictive Sustainable Applications
Generative AI for Climate-Resilient Hydrology: Synthetic Data, Forecasting and Predictive Sustainable Applications
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 Target Contributors

Researchers and professionals in:

Hydrology | Water Resources | Climate Science | Environmental Engineering | Artificial Intelligence | Machine Learning | Remote Sensing | Agricultural Engineering | Civil Engineering | Geoinformatics | Environmental Modelling | Sustainability

📅 Important Submission Deadlines

Milestone

Deadline

Chapter Submission

10 October 2026

Review Notification

10 November 2026

Final Camera-Ready Chapter

20 December 2026

⭐ Key Highlights

✔ Springer Book
✔ No Publication Fee
✔ Experimental & analytical chapters preferred
✔ International authors and collaborators welcome
✔ Interdisciplinary contributions encouraged
✔ Novel topics beyond the proposed TOC are welcome

Researchers interested in contributing are invited to submit their chapter title, author details and brief abstract to the editors.

Be part of an international research volume advancing AI-enabled, climate-resilient and sustainable hydrological systems.

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