UC Merced researchers write AI drought-forecasting chapter for new Elsevier book
Six UC Merced scientists, from a postdoc to senior professors, explain how machine learning can combine satellite, sensor and climate data to forecast drought in California and elsewhere.
Six UC Merced researchers wrote a chapter on AI drought modeling for Elsevier's new book "Global Drought and Sustainability." The chapter explains how AI tools can combine climate records, current observations, satellite imagery and sensor data to forecast drought.

