Point-scale multi-objective calibration of the Community Land Model (version 5.0) using in situ observations of water and energy fluxes and variables

Abstract. This study evaluates water and energy fluxes variables in combination with parameter optimization of version 5 the state-of-the-art Community Land Model (CLM5) land surface model, using 6 years hourly observations latent heat flux, sensible groundwater recharge, soil moisture temperature from an agricultural observatory Denmark. The results show that multi-objective calibration truncated singular value decomposition Tikhonov regularization is a powerful method to improve current practice lookup tables define values models. Using measurements turbulent as target variable, capable matching simulations heat, especially during summer period, whereas simulated clearly biased. Of 30 parameters considered, texture, monthly leaf area index (LAI) summer, stomatal conductance root distribution have highest influence on local-scale simulation results. this contribute improvements model characterization fluxes. work highlights importance performing hydrologic obtain optimal for model.