SWAT-TM: A Machine-Learning-Based Soil Temperature Module to Improve Winter Hydrology and Nutrient Simulation in a Great Lakes Agricultural Watershed

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Authors: Jaskaran Dhiman, Rituraj Shukla, Ramesh Pal Rudra, Prasad Daggupati, Shiv O. Prasher, Pradeep Goel
Cited by: 0
References: 23

Fields of Study & Subjects

Hydrology and Watershed Management Studies Hydrological Forecasting Using AI Soil Moisture and Remote Sensing

Publication details

Journal / source
SSRN Electronic Journal
Publication date
1 January 2026
Document type
Preprint