The long-term goal of this project is to improve the high-resolution model forecasts by developing a real-time globally re-locatable capability to initialize/assimilate the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) land-surface model soil parameters. The partition of the model surface sensible and latent heat fluxes in the land-surface parameterization is sensitive to the in...

Most current land surface models (LSMs) coupled to regional climate models (RCMs) have been implemented at the several tens of kilometer spatial scales. Modeling land surface processes in LSMs at a finer resolution is necessary for improvements in terrestrial water and energy predictions especially for small catchments. This study has therefore assessed the applicability of high-resolution simu...

In this paper we develop a new approach for land leveling in order to improve the topology of a large area for irrigation or civil projects. The objective in proposed model is to minimize the total volume of cutting so that technical requirements of land leveling such as suitable slope and standard ratio of cutting to filling and maximum penstock point’s height are considered. We develop a warp...

10 Results from the first international urban model comparison experiment (PILPS-Urban) suggested that models which 11 neglected the anthropogenic heat flux within the surface energy balance performed at least as well as models that 12 include the source term, but this could not be explained. The analyses undertaken show that the results from PILPS13 Urban were masked by the signal from includi...

11 [1] In this study, we investigate the significance of using an 12 improved error modeling strategy to characterize the spatio13 temporal characteristics of uncertainty in simulation of soil 14 moisture fields from an off-line land surface model forced 15 with satellite rainfall data. We coupled a Two-Dimensional 16 Satellite Rainfall Error Model (SREM2D) with the Common 17 Land Model to prop...

land surface parameterization schemes are one of the most important components in gcm and nwp models. these schemes calculate the exchanges of momentum, mass and energy between land surface and the atmosphere. runoff is one of the important components in the water cycle of the land surface scheme whose parameterization is difficult because of complexity in the processes governing the runoff gen...

Land surface models (LSM) are widely used as scientific and operational tools to simulate mass and energy fluxes within the soil vegetation atmosphere continuum for numerous applications in meteorology, hydrology or for geobiochemistry studies. A reliable parameterization of these models is important to improve the simulation skills. 5 Soil moisture is a key variable, linking the water and ener...

Canada has several of Earth's largest lakes and many small lakes. Heat storage and circulation are greatly affected by lakes. Currently the Canadian Regional climate model does not incorporate a lake component. Therefore, we are linking atmospheric and lake models for such applications as climate prediction and assessing changes in the lake water quality and quantity. We investigate use of high...