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Abstract: Comparison of Machine Learning-Based Pedotransfer Functions Using High-Resolution Soil Water Retention Data for Improved Ecohydrological Modeling (AGU25)

Comparison of Machine Learning-Based Pedotransfer Functions Using High-Resolution Soil Water Retention Data for Improved Ecohydrological Modeling

Alex Crookshanks1, Linnia R Hawkins2, Daniel Patrick Beverly3, Kimberly A Novick4, Richard P Phillips5, Trevor Gress4, Pierre Gentine2 and Maximillian Crookshanks4, (1)Columbia University of New York, Department of Earth and Environmental Engineering, New York, United States, (2)Columbia University, Department of Earth and Environmental Engineering, New York, United States, (3)Indiana University Bloomington, Bloomington, IN, United States, (4)Indiana University Bloomington, Bloomington, United States, (5)Indiana University, Department of Biology, Bloomington, IN, United States
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