The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: An Integrated Machine Learning Framework for Long-Term Drought Forecasting in Bangladesh Using SPEI, Teleconnection Patterns, and Climate Shift Detection. (AGU25)

An Integrated Machine Learning Framework for Long-Term Drought Forecasting in Bangladesh Using SPEI, Teleconnection Patterns, and Climate Shift Detection.

Samiya Tasnim1, Md. Jalal Uddin1, Mohan Kumar Das2, Md Asikul Islam Anik1 and Saif Hossain1, (1)Khulna University of Engineering & Technology, Institute of Disaster Management, Khulna, Bangladesh, (2)National Oceanographic and Maritime Institute, Dhaka, Bangladesh
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