FengChang et al_ML Output.xlsx

Description

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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Name Format Description Link
FengChang et al_ML Outputs.xlsx XLS FengChang%20et%20al_ML%20Outputs.xlsx Open resource

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