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.