We are currently using The Community Land Model (CLM3.5, CLM4.0, and CLM4-Crop) and the Weather Research and Forecasting (WRF) model coupled to a land surface scheme (NOAH, CLM4-Crop) to examine the influence of agricultural ecosystems on the carbon, water, and nitrogen budgets in the Upper Midwest US. Recent funding from USDA-AFRI is supporting an effort to more fully develop a nitrous oxide emission component in CLM and to make use of WRF and CLM for inverse budget estimates of nitrous oxide for the region.
We run the models on an HP ProLiant BL280c G6 Linux Cluster at the Minnesota Supercomputing Institute for Advanced Computational Research.
This figure shows an example of simulating the latent heat flux using WRF-NOAH. The study domain is centered on our tall tower to facilate model evaluation. Inverse analyses will be pursued for the region by combining these models with tall tower concentration information.