Abstract: Bayesian optimization of modeled CO<sub>2</sub> fluxes in Oregon using a dense tower network, aircraft campaigns, and the community land model 4.5 (2015 AGU Fall Meeting)

Bayesian optimization of modeled CO₂ fluxes in Oregon using a dense tower network, aircraft campaigns, and the community land model 4.5

Andres Schmidt, Oregon State University, Corvallis, OR, United States, Stephen A Conley, University of California Davis, Davis, CA, United States, Mathias Goeckede, Max Planck Institute for Biogeochemistry, Jena, Germany, Arlyn Andrews, NOAA Earth System Research Lab, Boulder, CO, United States, Kenneth Alan Masarie, NOAA, Boulder, CO, United States and Colm Sweeney, NOAA, Global Monitoring Laboratory, Boulder, United States

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Bayesian optimization of modeled CO2 fluxes in Oregon using a dense tower network, aircraft campaigns, and the community land model 4.5

Bayesian optimization of modeled CO₂ fluxes in Oregon using a dense tower network, aircraft campaigns, and the community land model 4.5