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Abstract: Improving NEE and LE Estimates Across North America: A Hybrid Data Assimilation + Machine Learning Approach to Gap-Filling, Model Bias Correction, and Downscaling (AGU25)

Improving NEE and LE Estimates Across North America: A Hybrid Data Assimilation + Machine Learning Approach to Gap-Filling, Model Bias Correction, and Downscaling

Yang Gu, Boston University, Earth and Environment, Boston, United States, Michael Dietze, Boston University, Boston, United States and Dongchen Zhang, Boston University, Department of Earth and Environment, Boston, MA, United States
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