Verification of Seasonal Forecasts of Sea Surface Temperature and Sea Ice Conditions Based on the Earth System Model Developed in the Institute of Numerical Mathematics of the Russian Academy of Sciences

The skill of seasonal forecasts of sea surface temperature (SST) and sea ice characteristics is estimated. Forecast skill estimates are calculated for two versions of the INM RAS Earth System Model (INM-CM5 and INM-CM6), which differ in the horizontal resolution of the atmospheric and aerosol blocks and some parameterizations of physical processes: cloudiness, indirect effect of aerosols, and snow cover evolution. It is shown that in most cases, the skill estimates of SST and ice characteristic forecasts based on the INM-CM6 version are higher than those for the INM-CM5. The obtained estimates are comparable with skill estimates from foreign centers, confirming the compliance of the forecast system based on the INM model with the world level of seasonal forecast skill.

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Publication Details

Journal
Russian Meteorology and Hydrology
Published
2025-11-01
DOI
https://doi.org/10.3103/s1068373925130023
Citations
1
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
1.30
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article

Verification of Seasonal Forecasts of Sea Surface Temperature and Sea Ice Conditions Based on the Earth System Model Developed in the Institute of Numerical Mathematics of the Russian Academy of Sciences

M. A. Tarasevich, Andrey Gritsun, V. M. Khan, Yu. D. Resnyanskii et al.
1 citations
Russian Meteorology and Hydrology
Arctic and Antarctic ice dynamics
1.30
article

Verification of Seasonal Forecasts of Sea Surface Temperature and Sea Ice Conditions Based on the Earth System Model Developed in the Institute of Numerical Mathematics of the Russian Academy of Sciences

M. A. Tarasevich, Andrey Gritsun, V. M. Khan, Yu. D. Resnyanskii, B. S. Strukov, A. A. Zelenko, В. Н. Степанов, E. M. Volodin, V. V. Bragina
article en
1 citations

Abstract

The skill of seasonal forecasts of sea surface temperature (SST) and sea ice characteristics is estimated. Forecast skill estimates are calculated for two versions of the INM RAS Earth System Model (INM-CM5 and INM-CM6), which differ in the horizontal resolution of the atmospheric and aerosol blocks and some parameterizations of physical processes: cloudiness, indirect effect of aerosols, and snow cover evolution. It is shown that in most cases, the skill estimates of SST and ice characteristic forecasts based on the INM-CM6 version are higher than those for the INM-CM5. The obtained estimates are comparable with skill estimates from foreign centers, confirming the compliance of the forecast system based on the INM model with the world level of seasonal forecast skill.

Russian Meteorology and HydrologyVol. 50(S1)
Hydrometeorological Research Centre of Russian Federation (RU), Russian Academy of Sciences (RU), Institute of Numerical Mathematics (RU)
Openalex Percentile: Top 16%
Arctic and Antarctic ice dynamics
1.30
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Verification of Seasonal Forecasts of Sea Surface Temperature and Sea Ice Conditions Based on the Earth System Model Developed in the Institute of Numerical Mathematics of the Russian Academy of Sciences — M. A. Tarasevich, Andrey Gritsun, et al. · Russian Meteorology and Hydrology (2025) | TGRS Research Map | TGRS