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In this study we analyzed how an improved representation of snowpackprocesses and soil properties in the multilayer snow and soil schemes ofthe Interaction Soil-Biosphere-Atmosphere (ISBA) land surface model impacts the simulation of soil temperatureprofiles over northern Eurasian regions. For this purpose, we refine ISBA'ssnow layering algorithm and propose a parameterization of snow albedo andsnow compaction/densification adapted from the detailed Crocus snowpackmodel. We also include a dependency on soil organic carbon content forISBA's hydraulic and thermal soil properties. First, changes in the snowpackparameterization are evaluated against snow depth, snow water equivalent,surface albedo, and soil temperature at a 10 cm depth observed at the Col dePorte field site in the French Alps. Next, the new model version includingall of the changes is used over northern Eurasia to evaluate the model'sability to simulate the snow depth, the soil temperature profile, and thepermafrost characteristics. The results confirm that an adequate simulationof snow layering and snow compaction/densification significantly impacts thesnowpack characteristics and the soil temperature profile during winter,while the impact of the more accurate snow albedo computation is dominantduring the spring. In summer, the accounting for the effect of soil organiccarbon on hydraulic and thermal soil properties improves the simulation ofthe soil temperature profile. Finally, the results confirm that this lastprocess strongly influences the simulation of the permafrost active layerthickness and its spatial distribution

Impacts of snow and organic soils parameterization on northern Eurasian soil temperature profiles simulated by the ISBA land surface model