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Upwelling spatiotemporal characteristics in the southeastern Baltic Sea in 2010–2019

https://doi.org/10.7868/S2073667321040055

Abstract

The article presents the results of verification and application of the proposed automatic algorithm of upwelling detection and presents the results of its work based on the CMEMS Baltic Sea Physical Reanalysis product in the southeastern part of the Baltic Sea for 2010–2019. The algorithm was verified by using the data of observations on the offshore ice-resistant stationary platform D-6, ship data obtained in the 127th cruise of the research vessel “Professor Shtokman”, and the results of upwelling detection based on the sea surface temperature derived from measurements of the MODIS Terra/Aqua spectroradiometer. It is shown that the lowest frequency of upwellings is observed in August-September (5–6 days per year), the highest — in May — June and October (11–15 days per year). In the period 2010–2013 in the study area, on average, up to 10 % of negative thermal anomalies were observed during the warm period of the year. Since 2014 (with the exception of 2017), an increase in the frequency of upwellings has been noted — on average, about 20 % of days were days with upwelling. It is shown that the winter East Atlantic/ West Russia and East Atlantic indices and the spring Scandinavia pattern index can be used to assess the characteristics of the future summer upwelling.

About the Authors

M. V. Kapustina
Shirshov Institute of Oceanology, Russian Academy of Sciences
Russian Federation

117997, Nahimovskiy prospekt, 36, Moscow



A. V. Zimin
Shirshov Institute of Oceanology, Russian Academy of Sciences; St. Petersburg State University
Russian Federation

117997, Nahimovskiy prospekt, 36, Moscow

199034, 7–9, Universitetskaya Nab., St. Petersburg



References

1. Stont J.I., Guchin O.A. Wind conditions in southeastern Baltic. Problems of Explore and Conservation Natural and Cultural Heritage of the National Park “Curonian Spit”. 2017, 163–175 (in Russian).

2. Lehmann A.,Myrberg K. Upwelling in the Baltic Sea — a review.J. Mar. Syst. 2008, 74, S3-S12. doi: 10.1016/j.jmarsys.2008.02.010

3. Golenko M.N., Golenko N.N. Structure of dynamic fields in the southeastern Baltic during wind forcings that cause upwelling and downwelling. Oceanology. 2012, 52, 5, 604–616. doi: 10.1134/S0001437012050086

4. Gurova E., Lehmann A., Ivanov A. Upwelling dynamics in the Baltic Sea studied by a combined SAR/infrared satellite data and circulation model analysis. Oceanologia. 2013, 55, 3, 687–707. doi: 10.5697/oc.55–3.687

5. Myrberg K., Andrejev O. Main upwelling regions in the Baltic Sea-a statistical analysis based on three-dimensional modelling. Boreal Environ. Res. 2003, 8, 2, 97–112.

6. Zhurbas V.M. et al. Mesoscale variability of the upwelling in the southeastern Baltic Sea: IR images and numerical modeling. Oceanology. 2004, 44, 5, 619–628.

7. Krezel A., Ostrowski M., Szymelfenig M. Sea surface temperature distribution during upwelling along the Polish Baltic coast. Oceanologia. 2005, 47, 4, 415–432.

8. Kowalewski M., Ostrowski M. Coastal up- and downwelling in the southern Baltic. Oceanologia. 2005, 47, 4, 453–475.

9. Kozlov I.E. et al. ASAR imaging for coastal upwelling in the Baltic Sea. Advances in Space Research. 2012, 50, 8, 1125– 1137. doi: 10.1016/j.asr.2011.08.017

10. Lehmann A., Myrberg K., Höflich K. A statistical approach to coastal upwelling in the Baltic Sea based on the analysis of satellite data for 1990–2009. Oceanologia. 2012, 54, 3, 369–393. doi: 10.5697/oc.54–3.369

11. Dabuleviciene T., Kozlov I.E., Vaiciute D., Dailidiene I. Remote sensing of coastal upwelling in the south-eastern Baltic Sea: Statistical properties and implications for the coastal environment. Remote Sensing. 2018, 10, 11, 1752. doi: 10.3390/rs10111752

12. Nowicki A.,Janecki M.,Dzierzbicka-Głowacka L. Operational system for automatic coastal upwelling detection in the Baltic Sea based on the 3D CEMBS model. J. Oper. Oceanogr. 2019, 12, 2, 104–115. doi: 10.1080/1755876X.2019.1569748

13. Bychkova I.A., Viktorov S.V. Use of satellite data for identification and classification of upwelling in the Baltic Sea. Oceanology. 1987, 27, 2, 158–162.

14. Esiukova E.E., Chubarenko I.P., Stont Z.I. Upwelling or differential cooling? Analysis of satellite SST images of the Southeastern Baltic Sea. Water Resources. 2017, 44, 1, 69–77. doi: 10.7868/S0321059617010047

15. Tamim A. et al. An efficient tool for automatic delimitation of Moroccan coastal upwelling using SST images. IEEE Geoscience and Remote Sensing Letters. 2014, 12, 4, 875–879. doi: 10.1109/LGRS.2014.2365558

16. Dzhiganshin G.F., Polonskii A.B., Muzyleva M.A. Upwelling in the northwest part of the Black Sea at the end of the summer season and its causes. Physical Oceanography. 2010, 20, 4, 281–293.

17. Axell L. et al. Baltic Sea Production Centre. BALTICSEA_REANALYSIS_PHY_003_011. Quality Information Document. 2019, P. 4.

18. Axell L., Huess V. Product User Manual. Tech. rep., Copernicus Marine Environment Monitoring Service. 2020. URL: https://resources.marine.copernicus.eu/documents/PUM/CMEMS-BAL-PUM-003-011.pdf (date of access: 01.03.2021).

19. Myslenkov S.A., Krechik V.A., Bondar A.V. Daily and seasonal water temperature changes in the coastal zone of the Baltic Sea measured by thermistor chain. Ecological Systems and Devices. 2107, 5, 25–33 (in Russian).

20. Krechik V., Myslenkov S., Kapustina M. New possibilities in the study of coastal upwellings in the Southeastern Baltic Sea with using thermistor chain. Geography, Environment, Sustainability. 2019, 12, 2, 44–61. doi: 10.24057/2071–9388–2018–67

21. Weather archive. Raspisaniye Pogodi. URL: https://rp5.ru/Weather_in_Baltiysk (date of access: 14.04.2021).

22. Weather archive. Raspisaniye Pogodi. URL: https://rp5.ru/Weather_in_Pionersky,_district (date of access: 14.04.2021 г.).

23. North Atlantic Oscillation. Northern Hemisphere Teleconnection Patterns. URL: ftp://ftp.cpc.ncep.noaa.gov/wd52dg/data/indices/nao_index.tim (date of access: 10.04.2021).

24. Scandinavia. Northern Hemisphere Teleconnection Patterns. URL: ftp://ftp.cpc.ncep.noaa.gov/wd52dg/data/indices/scand_index.tim (date of access: 10.04.2021).

25. East Atlantic/Western Russia. Northern Hemisphere Teleconnection Patterns. URL: ftp://ftp.cpc.ncep.noaa.gov/wd-52dg/data/indices/eawr_index.tim (date of access: 10.04.2021).

26. East Atlantic. Northern Hemisphere Teleconnection Patterns. URL: ftp://ftp.cpc.ncep.noaa.gov/wd52dg/data/indices/ea_index.tim (date of access: 10.04.2021).

27. Krek A.V. et al. The role of upwellings in the coastal ecosystem of the Southeastern Baltic Sea. Regional Studies in Marine Science. 2021, 44, 101707. doi: 101707. 10.1016/j.rsma.2021.101707

28. Kapustina M.V., Krechik V.A., Gritsenko V.A. Seasonal variations in the vertical structure of temperature and salinity fields in the shallow Baltic Sea off the Kaliningrad Region coast. Russian Journal of Earth Sciences. 2017, 17, ES1004. doi: 10.2205/2017ES000595

29. Bednorz E. et al. Atmospheric forcing of coastal upwelling in the southern Baltic Sea basin. Atmosphere. 2019, 10, 6, 327. doi: 10.3390/atmos10060327

30. Lehmann A., Krauß W., Hinrichsen H.H. Effects of remote and local atmospheric forcing on circulation and upwelling in the Baltic Sea. Tellus A: Dynamic Meteorology and Oceanography. 2002, 54, 3, 299–316. doi: 10.1034/j.1600–0870.2002.00289.x


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For citations:


Kapustina M.V., Zimin A.V. Upwelling spatiotemporal characteristics in the southeastern Baltic Sea in 2010–2019. Fundamental and Applied Hydrophysics. 2021;14(4):52-63. (In Russ.) https://doi.org/10.7868/S2073667321040055

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ISSN 2073-6673 (Print)
ISSN 2782-5221 (Online)