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Abstract: Reducing Uncertainty in Soil Nitrous Oxide Emissions using a Process-Based Model Ensemble in a Bayesian Framework (AGU25)

Reducing Uncertainty in Soil Nitrous Oxide Emissions using a Process-Based Model Ensemble in a Bayesian Framework

Stephen M Ogle1, Ram B Gurung2, Jaber Rahimi3, Diego Abalos4, Klaus Butterbach-Bahl5, M Francesca Cotrufo6, Edwin Haas3, Dr. Ralf Kiese3, David Kraus3, Clemens Scheer3, Shannon Spencer2 and Yao Zhang2, (1)Colorado State University, Fort Collins, United States, (2)Colorado State University, Natural Resource Ecology Laboratory, Fort Collins, United States, (3)Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Garmisch-Partenkirchen, Germany, (4)Aarhus University, Agroecology, Aarhus, Denmark, (5)Aarhus University, Agroecology, Aarhus C, Denmark, (6)Colorado State University, Soil and Crop Sciences, Fort Collins, United States
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