Can AI help predict and manage drought?
Can AI help predict and manage drought?
https://www.universityofcalifornia.edu/news/can-ai-help-predict-and-manage-drought
Publish Date: 2026-05-28 19:15:00
Source Domain: www.universityofcalifornia.edu
- California experiences “abnormally dry” conditions in spring 2026 after years of sufficient water, according to the state drought monitor.
- The increasing impacts of climate change and fluctuating dry and wet conditions have prompted researchers to focus on drought identification, prediction and management.
- UC Merced’s chapter in the book “Global Drought and Sustainability” highlights the application of artificial intelligence for multiscale drought modeling and decision making.
- The book, published by Elsevier, consolidates contributions from over 40 authors representing institutions from more than 10 countries, providing solutions for improved water resource management, agricultural sustainability and ecosystem resilience by linking drought, climate change, and advanced forecasting methods.
- UC Merced’s section explains how AI and machine learning tools can leverage historical climate data, current observations, satellite imagery, and sensor data for more accurate drought assessment and forecasting in the face of a shifting climate.
- The chapter emphasizes that AI’s role is to complement, rather than replace, human expertise to provide decision-makers with more reliable information.
- The challenges of drought forecasting are magnified in areas without extensive monitoring equipment, where AI’s scalability can integrate with physics-based understanding of water systems.
- Emerging technologies in data science and sensing technology are enhancing agricultural drought modeling and decisions, utilizing soil-moisture sensors and machine learning to optimize irrigation and monitor farm conditions.
