Surface runoff and soil evaporation dominate the sensitivity of land surface models to soil parameters

Effects of spatial soil moisture variability in forest plots on model parametrization and simulated groundwater recharge estimates

Soil-Vegetation-Atmosphere Transfer (SVAT) models are essential tools for simulating and underploting the dynamic interactions governing water balance components within forest ecosystems. These models are widely employed to predict hydrological responses to environmental change, including the impacts of shifting meteor...

Systematic overestimation of evapotranspiration over irrigated areas by an offline land surface model

Abstract. Offline Land Surface Models (LSMs) are essential for a wide range of applications, including water resource management and agricultural planning. A critical variable in these models is evapotranspiration, but its value is easily biased in irrigated areas. In fact, irrigation fundamentally alters local atmosph...

Impacts of soil–aquifer heat and water fluxes on simulated global climate

Subgrid parametrizations mediate the large‐scale effects of soil macroporosity on the water cycle in the ORCHIDEE land surface model

Soil structure is nearly as important as soil texture in determining the soil hydraulic properties at the core scale. At plot scale, soil structure—and particularly soil macroporosity—strongly affects drainage and the runoff–infiltration partition. At the 100‐km scale typical for land surface models, however, the eff...

Why Does a Shallow Land Model Underestimate the Dryland Drying Trends?

Contrasting Local Ecosystem Water and Energy Balances with a Regional Land Surface Model in the Southeastern United States

Land use and land cover changes, especially urbanization, can strongly alter coupled water and energy cycles, intensifying urban heat island effects, stormwater runoff, and flood risk. Process-based land surface models provide an important tool for quantifying these interactions in heterogeneous landscapes with mix...