Carbon and energy fluxes simulated by the Noah LSM and the Community Land Model
Gulden, The Jackson School of Geosciences at the University of Texas at Austin, firstname.lastname@example.org
Rosero, The Jackson School of Geosciences at the University of Texas at Austin, email@example.com
Yang, The Jackson School of Geosciences at the University of Texas at Austin, firstname.lastname@example.org
Niu, The Jackson School of Geosciences at the University of Texas at Austin, email@example.com
We present carbon and energy fluxes for sites in the Amazon River basin simulated by several versions of two state-of-the-art land surface models (LSMs). Multiple versions of the Community Land Model (CLM) and the Noah LSM are driven at the eight LBA-ECO sites using 3 - 4 years of point-scale meteorological forcing data and are evaluated against energy and carbon fluxes obtained using eddy covariance methods. Uncalibrated results are presented for all sites; optimized model results are presented for Santarem 83. We quantify changes in model performance as the base models are augmented with new, conceptually realistic parameterizations (e.g., a groundwater module, a dynamic phenology module). We assess shifts in model performance across a gradient of vegetation (e.g., ranging from pasture land to savanna to tropical forest) and between wet and dry periods.