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Abstract: Evaluating Predictive Performance for Nitrous Oxide (N<sub>2</sub>O) Emissions Using Bayesian Model Intercomparison of Three Process-Based Ecosystem Models (AGU25)

Evaluating Predictive Performance for Nitrous Oxide (N2O) Emissions Using Bayesian Model Intercomparison of Three Process-Based Ecosystem Models

Ram B Gurung1, Jaber Rahimi2, Stephen M Ogle3, Diego Abalos4, Klaus Butterbach-Bahl5, M Francesca Cotrufo6, Stephen Williams1, Carolyn Schwartz1, Edwin Haas2, David Kraus2, Dr. Ralf Kiese2, Clemens Scheer2, Clemens Weber2, Zhuonan Wang1, Jorge Locatelli1 and Yao Zhang1, (1)Colorado State University, Natural Resource Ecology Laboratory, Fort Collins, United States, (2)Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Garmisch-Partenkirchen, Germany, (3)Colorado State University, Fort Collins, United States, (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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