Validation of the MGO regional climate model with a new parameterization of land surface processes

Abstract The validation of the Voeikov Main Geophysical Observatory (MGO) Regional Climate Model (RCM) is conducted using a new land surface model (LSM). A brief description of the new LSM is provided highlighting its differences from the previously used (control) version. The simulated climate variables obtained with the RCM are compared against observational data. Analysis of the results of simulations indicates that the new LSM enhances the accuracy of snow cover evolution, precipitation, and surface temperature calculations compared to the control version. The CaMa-Flood model is employed for river discharge calculations using RCM-simulated outputs as input data. The computed river discharge is evaluated against river gauge observations. The results demonstrate that the modified RCM provides more accurate river discharge estimates compared to those obtained with the control version.

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Publication Details

Journal
Russian Journal of Numerical Analysis and Mathematical Modelling
Published
2025-04-01
DOI
https://doi.org/10.1515/rnam-2025-0009
Citations
2
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
2.21
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article

Validation of the MGO regional climate model with a new parameterization of land surface processes

А. В. Козлов, I. M. Shkolnik, Т. В. Павлова
2 citations
Russian Journal of Numerical Analysis and Mathematical Modelling
Climate variability and models
2.21
article

Validation of the MGO regional climate model with a new parameterization of land surface processes

А. В. Козлов, I. M. Shkolnik, Т. В. Павлова
article en
2 citations

Abstract

Abstract The validation of the Voeikov Main Geophysical Observatory (MGO) Regional Climate Model (RCM) is conducted using a new land surface model (LSM). A brief description of the new LSM is provided highlighting its differences from the previously used (control) version. The simulated climate variables obtained with the RCM are compared against observational data. Analysis of the results of simulations indicates that the new LSM enhances the accuracy of snow cover evolution, precipitation, and surface temperature calculations compared to the control version. The CaMa-Flood model is employed for river discharge calculations using RCM-simulated outputs as input data. The computed river discharge is evaluated against river gauge observations. The results demonstrate that the modified RCM provides more accurate river discharge estimates compared to those obtained with the control version.

Russian Journal of Numerical Analysis and Mathematical ModellingVol. 40(2)
Voeikov Main Geophysical Observatory (RU)
Openalex Percentile: Top 14%
Climate variability and models
2.21
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