Noah-MP Land Surface Model simulation for Boreal Forest (BERMS SK-OAS) Site

Yanping Li, University of Saskatchewan, Global Institute for Water Security, Saskatoon, SK, Canada, Liang Chen, University of Saskatchewan, Saskatoon, SK, Canada, Fei Chen, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, Alan Barr, Environment Canada, Climate Research Division, Saskatoon, SK, Canada and Bingcheng Wan, NCAR/RAL, Boulder, CO, United States

Contact First Author: Yanping Li; yanping.li@usask.ca

Abstract ID#: 36302

 

English Abstract:
In this study, a 10-year Boreal Forest (BERMS SK-OAS) site measurements were used to evaluate and calibrate the multi-physics version of the Noah Land-Surface model (Noah-MP) . Those processes which are crucial for the simulation were identified. The performance of different combinations of the parameterization schemes was evaluated statistically. The best combination was identified by the most appropriate simulation (CTL) of surface heat and moisture fluxes as well as soil temperature and moisture at different depths.

Although organic matter is not normally included in the current Noah-MP land-surface model, an organic soil layer was added in our simulation of BERMS site. By adding an 100% organic matter to the top 10cm of the soil alters the soil’s thermal and hydraulic properties, and significantly improved the simulation of the thermal and hydrological components. The organic soil layer reduces summer soil temperatures while increases the winter soil temperatures, which (OGN) matches the observation much better than CTL. By including the organic soil layer in Noah-MP also improves the deep layer soil moisture simulation. The increase of the porosity and hydraulic conductivity of the organic soil increases soil moisture while decreases the surface evaporation at the same time.

For the 10-year observation, dry (2002-2003) and wet (2005-2006) phases are identified. The diurnal cycle of surface sensible and latent heat flux was studied to see the contrast between the dry and wet phases. The annual cycle of surface fluxes, water components were also studied to examine the different characteristics for dry and wet phases.