Assimilating Multi-site Eddy-Covariance Data to Calibrate the CH4 Wetland Emission Module in a Terrestrial Ecosystem Model ... : Calibrate the CH4 Wetland Emission Module in LPJ-GUESS ...

We use a data assimilation framework called GRaB- AM based on the Adaptive Markov Chain Monte Carlo (MCMC) algorithm to constrain process parameters in LPJ-GUESS using CH4 eddy covariance flux observations from 14 different natural boreal and temperate wetlands. The objective is to derive a single set of calibrated parameter values. These parameters are then used in the model to validate its CH4 flux output against 5 different types of natural wetlands situated in different locations, assessing their generality for simulating CH4 fluxes from different boreal and temperate wetlands. This uploaded file includes the model code of GRaB-AM, the source code of LPJ-GUESS methane assimilation branch, data used for assimilation, and the data used for validation. Please note that most of the data used for this study are openly available, and we strongly encourage you to contact the respective PIs before using them for any other purposes. ...