<p>This study investigated the sensitivity of land surface model simulations to the specification, spatial resolution, and aggregation of soil hydrophysical coefficients (SHC) using the TerM model as a test case. It is shown that the hydrophysical coefficients of the soil are one of the key factors influencing the modeling of soil temperature and soil moisture, which is shown by one-dimensional experiments in comparison with the observational data. Experiments for the territory of western Siberia have shown that the use of constant soil-type-based SHC smooths spatial heterogeneity and leads to systematic differences, especially in soil moisture and temperature. These effects are most pronounced in regions with rich organic matter soils, such as peatlands. The SHC aggregation methods used are important for modeling at various spatial resolutions. The combination of different aggregation methods, depending on the parameter, is more optimal than the usual arithmetic area mean. It should also be noted that aggregating the results of a high-resolution model is not equivalent to the results of a coarse-resolution model. Overall, the results demonstrate that a correct representation of soil hydrophysical properties, choice of spatial resolution and aggregation methods are important for modelling of soil heat and moisture transfer.</p>