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FengChang et al_ML Output.xlsx

Published by U.S. EPA Office of Research and Development (ORD) | U.S. Environmental Protection Agency | Metadata Last Checked: August 02, 2025 | Last Modified: 2023-07-06
Outputs from WRF, EPIC, VIC. Outputs and analysis from the ML-based model described in the paper. This dataset is associated with the following publication: Feng Chang, C., M. Astitha, Y. Yuan, C. Tang, P. Vlahos, V. Garcia, and U. Khaira. A New Approach to Predict Tributary Phosphorus Loads Using Machine Learning– and Physics-Based Modeling Systems. Artificial Intelligence for the Earth Systems. American Meteorological Society, Boston, MA, USA, 2(3): 1-43, (2023).

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