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The Spatio-Temporal Variability of Sea Surface Temperature of Bering Sea from ERA5 Reanalysis Data Based on Satellite Information
- Authors: Shevchenko G.V.1,2, Tshay Z.R.1, Lozhkin D.M.1
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Affiliations:
- Sakhalin Branch of “VNIRO” (“SakhNIRO”)
- Institute of Marine Geology and Geophysics Far Eastern Branch Russian Academy of Sciences
- Issue: No 1 (2024)
- Pages: 52-64
- Section: ИСПОЛЬЗОВАНИЕ КОСМИЧЕСКОЙ ИНФОРМАЦИИ О ЗЕМЛЕ
- URL: https://ogarev-online.ru/0205-9614/article/view/260453
- DOI: https://doi.org/10.31857/S0205961424010059
- EDN: https://elibrary.ru/GMSLES
- ID: 260453
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Abstract
Features of spatio-temporal variability of the Bering Sea surface temperature were studied by constructing long-term average distributions for different months and using the method of empirical orthogonal functions based on ERA5 reanalysis data based mainly on satellite information, for the period 1998–2020 (spatial resolution of the data is a quarter of a degree, the time interval is one month). In each spatial cell, for each month, the average long-term values of this parameter were calculated, which showed seasonal changes in thermal conditions in the studied water area. Linear trend coefficients have been determined, which showed a stable tendency to warming of the surface layer of sea waters, most pronounced in summer. Extreme deviations from the average long-term values (anomalies) of the surface temperature of the Bering Sea are considered.
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About the authors
G. V. Shevchenko
Sakhalin Branch of “VNIRO” (“SakhNIRO”); Institute of Marine Geology and Geophysics Far Eastern Branch Russian Academy of Sciences
Author for correspondence.
Email: shevchenko_zhora@mail.ru
Russian Federation, Yuzhno-Sakhalinsk; Yuzhno-Sakhalinsk
Zh. R. Tshay
Sakhalin Branch of “VNIRO” (“SakhNIRO”)
Email: shevchenko_zhora@mail.ru
Russian Federation, Yuzhno-Sakhalinsk
D. M. Lozhkin
Sakhalin Branch of “VNIRO” (“SakhNIRO”)
Email: shevchenko_zhora@mail.ru
Russian Federation, Yuzhno-Sakhalinsk
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Supplementary files
Supplementary Files
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1.
JATS XML
2.
Fig. 1. Map of the research area (https://earth.google.com /).
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3.
Fig. 2. Spatial distribution of TPM (°C) in the Bering Sea in winter (February), spring (May), summer (August) and autumn (November).
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4.
Fig. 3. Graph of the TPM values averaged over the Beringian Sea area for 1998-2021. The red dots show the trend line calculated by the least squares method.
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5.
Fig. 4. Spatial distribution of the amplitude (°C) and phase (°) of the annual harmonic of the TPM in the waters of the Beringian Sea.
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6.
Fig. 5. Spatial distribution of the linear trend coefficient of TPM (in °C over 10 years) in the water area The Bering Sea in winter, spring, summer and autumn.
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Fig. 6. Graphs of time functions (°C) and spatial distribution (dimensionless value) of the first two modes of decomposition of the TPM according to the EOF.
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Fig. 7. Spatial distribution of TPM anomalies in the Bering Sea.
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