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: Analyzing Spatial Variability in SWAT Performance Using Watershed Attributes and Machine Learning (AGU25)

Analyzing Spatial Variability in SWAT Performance Using Watershed Attributes and Machine Learning

Mohammad Galib and Venkatesh Merwade, Purdue University, Lyles School of Civil and Construction Engineering, West Lafayette, United States
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