Comparison of ocean datasets by their ability to adequately reproduce winter anomalies in the characteristics of the upper layer ot the north–eastern part of the North Atlantic

by

A.B. Polonsky, P.A. Sukhonos

 Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28

E-mail: pasukhonis@mail.ru

DOI: 10.33075/2220-5861-2021-1-137-146

UDC 551.465.7(261.1)

Abstract:

   This article analyzes the reproducibility of the reemergence of temperature and upper mixed layer (UML) depth anomalies in the northeastern North Atlantic during severe weather conditions observed in the Atlantic-European region in the winter of 2009/2010 and 2010/2011. The data of re-analyzes ORA-S3, GFDL, GODAS, GLORYS2v4 and objective analyzes Ishii, EN4.1.1 are used.

   It is confirmed that the formation of the negative temperature anomaly in UML in winter 2010/2011 is largely due to the reemergence of the ocean temperature anomaly that occurred in the winter of 2009/2010.

   Interannual UML depth anomalies in the northeastern North Atlantic from the ORA-S3 and GODAS reanalysis datasets from March 2009 to November 2011 are in satisfactory agreement. The best description of the evolution of temperature anomalies in the 10–550 m layer in 2010, in accordance with the hypothesis of the reemergence of the ocean temperature anomaly, was obtained for the UML depth from the indicated data sets.

   An assessment of the statistical features of the case of the reemergence of anomalies in the UML characteristics at a significant level showed the occurrence of the UML depth anomaly in the winter of 2010/2011, formed in the last autumn-winter period. Moreover, such specific conditions could not  have formed in the early 2000s.

Keywords: reemergence of anomalies in the winter, upper mixed layer, North Atlantic.

To quote: Polonsky, A.B., and P.A. Sukhonos. “Comparison of Ocean Datasets by Their Ability to Adequately Reproduce Winter Anomalies in the Characteristics of the Upper Layer Ot the North–eastern Part of the North Atlantic.” Monitoring Systems of Environment no. 1 (March 25, 2021): 137–146. doi:10.33075/2220-5861-2021-1-137-146.

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