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Steady state sensitivity analysis with respect to 55 input parameters and 15 output QoIs representing 10-year average steady state values are performed for the boreal evergreen forest AmeriFlux site Niwot Ridge and the temperate boreal evergreen forest at Campbell river, CA with ACME v0. A sparse adaptive surrogate model is constructed using 10000 model simulations, followed by variance-based decomposition to rank input parameters and their joint contributions to the total output uncertainty. Results from the sensitivity analysis indicate that, e.g. for the AmeriFlux site, key model outputs are most sensitive to parameters controlling leaf and fine root nitrogen concentrations, as well as fine root allocation, leaf longevity, denitrification, and the temperature sensitivity of autotrophic respiration.
Te see the poster, see ACME_Sargsyan_Results_LandUQ.pdf