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A subbasin-based framework to represent land surface processes in an Earth System Model
Abstract. Realistically representing spatial heterogeneity and lateral land surface processes within and between modeling units in earth system models is important because of their implications to surface energy and water exchanges. The traditional approach of using regular grids as computational units in land surface models and earth system models may lead to inadequate representation of subgrid heterogeneity and lateral movements of water, energy and carbon fluxes, especially when the grid resolution increases. Here a new subbasin-based framework is introduced in the Community Land Model (CLM), which is the land component of the Community Earth System Model (CESM). Local processes are represented assuming each subbasin as a grid cell on a pseudo grid matrix with no significant modifications to the existing CLM modeling structure. Lateral routing of water within and between subbasins is simulated with the subbasin version of a recently-developed physically based routing model, Model for Scale Adaptive River Routing (MOSART). As an illustration, this new framework is implemented in the topographically diverse region of the US Pacific Northwest. The modeling units (subbasins) are delineated from high-resolution Digital Elevation Models (DEMs) while atmospheric forcing and surface parameters are remapped from the corresponding high resolution datasets. The impacts of this representation on simulating hydrologic processes are explored by comparing it with the default (grid-based) CLM representation. In addition, the effects of DEM resolution on parameterizing topography and the subsequent effects on runoff processes are investigated. Limited model evaluation and comparison showed that small difference between the averaged forcing can lead to more significant difference in the simulated runoff and streamflow because of nonlinear lateral processes. Topographic indices derived from high resolution DEMs may not improve the overall water balance, but affect the partitioning between surface and subsurface runoff. More systematic analyses are needed to determine the relative merits of the subbasin representation compared to the commonly used grid-based representation, especially when land surface models are approaching higher resolutions.
- Tsinghua University China (People's Republic of)
- Capital Normal University China (People's Republic of)
- Pacific Northwest National Laboratory United States
- Pacific Northwest National Laboratory United States
- Capital Normal University China (People's Republic of)
Atmospheric Science, Scale (ratio), Climate Change and Variability Research, Oceanography, Engineering, Climate change, Water Science and Technology, Climatology, QE1-996.5, Global and Planetary Change, Routing (electronic design automation), Computer network, Geography, Ecology, Hydrology (agriculture), Geology, Surface runoff, Earth and Planetary Sciences, Hydrological Modeling and Water Resource Management, Physical Sciences, Impacts of Climate Change on Glaciers and Water Availability, Flow routing, Geodesy, Cartography, Land cover, Hydrological Modeling, Drainage basin, Streamflow, Climate model, Environmental science, Earth system science, Meteorology, Civil engineering, Grid, Biology, Forcing (mathematics), FOS: Earth and related environmental sciences, Watershed Simulation, Computer science, Geotechnical engineering, FOS: Biological sciences, Environmental Science, Land use, FOS: Civil engineering, Climate Modeling
Atmospheric Science, Scale (ratio), Climate Change and Variability Research, Oceanography, Engineering, Climate change, Water Science and Technology, Climatology, QE1-996.5, Global and Planetary Change, Routing (electronic design automation), Computer network, Geography, Ecology, Hydrology (agriculture), Geology, Surface runoff, Earth and Planetary Sciences, Hydrological Modeling and Water Resource Management, Physical Sciences, Impacts of Climate Change on Glaciers and Water Availability, Flow routing, Geodesy, Cartography, Land cover, Hydrological Modeling, Drainage basin, Streamflow, Climate model, Environmental science, Earth system science, Meteorology, Civil engineering, Grid, Biology, Forcing (mathematics), FOS: Earth and related environmental sciences, Watershed Simulation, Computer science, Geotechnical engineering, FOS: Biological sciences, Environmental Science, Land use, FOS: Civil engineering, Climate Modeling
