Permafrost Data Assimilation and Reanalysis: Computational Setup and Model Validation for Northern European Russia and Eastern Siberia

O. A. Anisimov, S. A. Lavrov, A. F. Zhirkov, and D. A. Kaverin

The computational setup of assimilation and reanalysis of measurement data on temperature of the upper ground layer and active layer thickness based on the models of various complexity is formulated. A need in applying a dynamic model for this purpose is substantiated. Four types of permafrost with different active layer thickness are distinguished. The model validation based on measurement data in northern European Russia and Eastern Siberia is carried out for these permafrost types. A method for taking into account the small-scale variability of soil, vegetation, and landscape factors based on the ensemble simulations is proposed. It is shown that the dynamic model simulates well measurement data on the active layer thickness for a wide range of landscape, soil, and climate conditions and can be used for the reanalysis of permafrost data.