A highly modular and scale-consistent Terrestrial Systems Modeling Platform (TerrSysMP) is presented. The modeling platform consists of an atmospheric model (Consortium for Small-Scale Modeling; COSMO), a land surface model (the NCAR Community Land Model, version 3.5; CLM3.5), and a 3D variably saturated groundwater flow model (ParFlow). An external coupler (Ocean Atmosphere Sea Ice Soil, version 3.0; OASIS3) with multiple executable approaches is employed to couple the three independently developed component models, which intrinsically allows for a separation of temporal–spatial modeling scales and the coupling frequencies between the component models.Idealized TerrSysMP simulations are presented, which focus on the interaction of key hydr...
Coupled numerical models, which simulate water and energy fluxes in the subsurface-land-surface-atmo...
The hydrological component of the Terrestrial Systems Modeling Platform (TerrSysMP), which includes ...
The coupling of land surface and subsurface models might improve the overall predictive accuracy of ...
This study compares two modeling platforms, ParFlow.WRF (PF.WRF) and the Terrestrial Systems Modelin...
The Terrestrial Systems Modelling Platform (TSMP, https://www.terrsysmp.org) is a scale-consistent, ...
Coupled numerical models, which simulate water and energy fluxes in the subsurface–land-surface–atmo...
The ever increasing computational resources are leading to a refinement of grid spacing of atmospher...
Applying the Terrestrial Systems Modeling Platform, TerrSysMP, this study provides the first simulat...
Traditional land surface models (LSMs) used for numerical weather simulation, climate projection, an...
In various of today’s resource management and climate change adaptation challenges, versatile and re...
Initial results of fully coupled water cycle EURO-CORDEX evaluationsimulations with TerrSysMP from 1...
Applying the Terrestrial Systems Modeling Platform, TSMP, this study provides the first simulated lo...
This study explores the influence of groundwater representation on soil moisture, evapotranspiration...
An understanding of the hydrologic interactions among atmosphere, land surface, and subsurface is o...
Land surface models are used for a better understanding of hydrological processes and energy fluxes ...
Coupled numerical models, which simulate water and energy fluxes in the subsurface-land-surface-atmo...
The hydrological component of the Terrestrial Systems Modeling Platform (TerrSysMP), which includes ...
The coupling of land surface and subsurface models might improve the overall predictive accuracy of ...
This study compares two modeling platforms, ParFlow.WRF (PF.WRF) and the Terrestrial Systems Modelin...
The Terrestrial Systems Modelling Platform (TSMP, https://www.terrsysmp.org) is a scale-consistent, ...
Coupled numerical models, which simulate water and energy fluxes in the subsurface–land-surface–atmo...
The ever increasing computational resources are leading to a refinement of grid spacing of atmospher...
Applying the Terrestrial Systems Modeling Platform, TerrSysMP, this study provides the first simulat...
Traditional land surface models (LSMs) used for numerical weather simulation, climate projection, an...
In various of today’s resource management and climate change adaptation challenges, versatile and re...
Initial results of fully coupled water cycle EURO-CORDEX evaluationsimulations with TerrSysMP from 1...
Applying the Terrestrial Systems Modeling Platform, TSMP, this study provides the first simulated lo...
This study explores the influence of groundwater representation on soil moisture, evapotranspiration...
An understanding of the hydrologic interactions among atmosphere, land surface, and subsurface is o...
Land surface models are used for a better understanding of hydrological processes and energy fluxes ...
Coupled numerical models, which simulate water and energy fluxes in the subsurface-land-surface-atmo...
The hydrological component of the Terrestrial Systems Modeling Platform (TerrSysMP), which includes ...
The coupling of land surface and subsurface models might improve the overall predictive accuracy of ...