Work Description

Title: Dataset of Mondrian model inputs and results: simulation of net greenhouse gas emissions from Great Lakes wetlands Description: The Mondrian wetland community-ecosystem model (Currie et al. 2013), version 4.3, was used in 2020 to simulate net greenhouse gas (GHG) emissions of CO2, CH4, and N2O in coastal wetlands of the Laurentian Great Lakes, USA. A systematic set of 1,440 model runs was conducted, i.e. 480 unique combinations of model drivers and parameters with 3 stochastic replicates each. (Mondrian team�s code name for this set: GHG2020). This archived dataset includes all of the input files that were used to run the model for all the runs in this set, including files containing model parameters and drivers. This dataset also includes all of the model output files from model runs in this set. Filenames and descriptions: Mondrian-batch: Batch input file controlling multiple runs conducted in batch mode, containing all parameters that were changed systematically in this set and all of their values Mondrian-Para: Parameter input file containing all fixed parameters for this study. Mondrian-Scenario: Six Scenario input files for Mondrian used in this analysis. Each input scenario file was used for each water level scenario, which includes daily water levels for modeled time and fixed values of nitrogen inflow and hydraulic flushing rate. Model run parameters: A .csv file that summarizes the 480 unique combinations of model parameters and drivers used in this set. MondrianResultsBGC: Six Mondrian main output files containing all model output used in this analysis. Each file contains output data for each water level scenario. (e.g. MondrianResultsBGC_Swater0.1m_021320 contains results under water level of 0.1m) Reference cited: Currie, W. S., D. E. Goldberg, J. Martina, R. Wildova, E. Farrer, and K. J. Elgersma. 2014. Emergence of nutrient-cycling feedbacks related to plant size and invasion success in a wetland community-ecosystem model. Ecological Modelling 282:69-82.