Russian Journal of Earth Sciences Russian Journal of Earth Sciences Russian Journal of Earth Sciences 1681-1208 67063 10.2205/2024ES000876 quzfii ОРИГИНАЛЬНЫЕ СТАТЬИ ORIGINAL ARTICLES ОРИГИНАЛЬНЫЕ СТАТЬИ On the Estimation of the Interannual Variability of the Ocean Surface Temperature in the Area of the Peruvian Upwelling On the Estimation of the Interannual Variability of the Ocean Surface Temperature in the Area of the Peruvian Upwelling https://orcid.org/0000-0002-9891-4315 Мартина-Васкез Джимми Хуан Martina-Vasquez Jimmy Juan JIMMYJMV1@HOTMAIL.COM

докторант географических наук;

doctoral candidate of geographical sciences;

 https://orcid.org/0000-0001-9797-5266 Гордеева Светлана Михайловна Gordeeva Svetlana Mihailovna gordeeva@rshu.ru

доктор географических наук;

doctor of geographical sciences;

 https://orcid.org/0009-0008-5139-3453 Малинин Валерий Николаевич Malinin Valerii Nikolaevich malinin@rshu.ru

доктор географических наук;

doctor of geographical sciences;

 Российский государственный гидрометеорологический университет Russian State Hydrometeorological University 27 05 2024 27 05 2024 24 2 1 10 01 07 2023 16 10 2023 https://rjes.ru/en/nauka/article/67063/view

The interannual variability of the ocean surface temperature in the area of the Peruvian upwelling for the period 1980–2022 is considered according to the satellite archive GODAS (Global Ocean Data Assimilation System) using the methods of multivariate statistical analysis. Local foci of significant trends, for average annual Sea Surface Temperature (SST) values, were identified near the Peruvian offshore. Four regions (clusters) were obtained, which describe the variability of SST in front off Peru, which could be used to pretend to develop a prognostic oceanographic model. Furthermore, coincidences of temperature fluctuations were found between the first cluster and the region N3+4

The interannual variability of the ocean surface temperature in the area of the Peruvian upwelling for the period 1980–2022 is considered according to the satellite archive GODAS (Global Ocean Data Assimilation System) using the methods of multivariate statistical analysis. Local foci of significant trends, for average annual Sea Surface Temperature (SST) values, were identified near the Peruvian offshore. Four regions (clusters) were obtained, which describe the variability of SST in front off Peru, which could be used to pretend to develop a prognostic oceanographic model. Furthermore, coincidences of temperature fluctuations were found between the first cluster and the region N3+4

 Peruvian upwelling ocean surface temperature interannual variability multivariate statistical analysis Peruvian upwelling ocean surface temperature interannual variability multivariate statistical analysis The authors are grateful to the respected reviewers for the insightful comments and valuable improvements to our paper. Furthermore, we thank Anastasia Bondarenko for checking translation. The authors are grateful to the respected reviewers for the insightful comments and valuable improvements to our paper. Furthermore, we thank Anastasia Bondarenko for checking translation.

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