Assessment of the Reproducibility of Oceanographic Fields in Retrospective Forecasts Using the INM-CM5 Earth System Model

Skill scores of the reproducibility of oceanographic fields in applying the INM-CM5 climate model to long-term forecasting for several months are presented. It is shown that disagreements between the model forecasts and the control data in terms of their absolute values are mainly due to the model c...

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Bibliographic Details
Published in:Russian meteorology and hydrology 2024-03, Vol.49 (3), p.183-194
Main Authors: Resnyanskii, Yu. D., Zelen’ko, A. A., Strukov, B. S., Stepanov, V. N., Khan, V. M., Vorob’eva, V. V., Tarasevich, M. A., Gritsun, A. S., Volodin, E. M.
Format: Article
Language:English
Subjects:
Anomalies
Atmospheric Sciences
Climate
Climate models
Control data (computers)
Earth and Environmental Science
Earth Sciences
Lead time
Meteorology
Reproducibility
Sea surface
Sea surface temperature anomalies
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Summary:Skill scores of the reproducibility of oceanographic fields in applying the INM-CM5 climate model to long-term forecasting for several months are presented. It is shown that disagreements between the model forecasts and the control data in terms of their absolute values are mainly due to the model climate bias. A degree of consistency with the control data significantly increases when comparing anomalies counted from the individual normals of each of the compared data types. In particular, the forecasts of SST anomalies for the Niño-3.4 region with a lead time up to six months appear to be quite successful.
ISSN:1068-3739
1934-8096
DOI:10.3103/S1068373924030014