Variability of the Dome-Like Form of the Deep Water Temperature in the Weddell Sea Based on ORAS5 Reanalysis
Аннотация и ключевые слова
Аннотация:
The variability of the dome-like form position of the Weddell Sea Deep Water (WSDW) has been studied based on ORAS5 datasets. According to these data, the upper boundary of the deep water occupied the highest position during most of 2005, and the lowest position in 2014 relative to its mean for 1993–2023. This change occurred because of the intensification of negative wind vorticity in 2005 and its weakening in 2014. Between 1993 and 2023, a permanent water transport from the Weddell Sea to the Scotia Sea was detected over the depth corresponding to the sill in the Orkney Passage in the ORAS5 data. In 2005, this transport was almost unchanged, whereas in 2014 it became stronger. When the dome boundary of WSDW moves up in the central part of the Weddell Sea, the outer parts of the dome move down, and vice versa. In the northern part of the Weddell Sea, this motion of isotherms and isopycnals causes either colder or warmer water parts of the WSDW column to overflow the crest of the South Scotia Ridge and continue its motion in the Scotia Sea.

Ключевые слова:
Weddell Sea Deep Water, abyssal water, seasonal variability, ORAS5
Список литературы

1. Abrahamsen E., Meijers A., Polzin K., et al. Stabilization of dense Antarctic water supply to the Atlantic Ocean overturning circulation // Nature Climate Change. — 2019. — Vol. 9, no. 10. — P. 742–746. — https://doi.org/10.1038/s41558-019-0561-2.

2. Balmaseda M., Hernandez F., Storto A., et al. The Ocean Reanalyses Intercomparison Project (ORA-IP) // Journal of Operational Oceanography. — 2015. — Vol. 8, sup1. — https://doi.org/10.1080/1755876x.2015.1022329.

3. Bernard B., Madec G., Penduff T., et al. Impact of partial steps and momentum advection schemes in a global ocean circulation model at eddy-permitting resolution // Ocean Dynamics. — 2006. — Vol. 56, no. 5/6. — P. 543–567. — https://doi.org/10.1007/s10236-006-0082-1.

4. Breivik Ø., Mogensen K., Bidlot J. R., et al. Surface wave effects in the NEMO ocean model: Forced and coupled experiments // Journal of Geophysical Research: Oceans. — 2015. — Vol. 120, no. 4. — P. 2973–2992. — https://doi.org/10.1002/2014jc010565.

5. Campos E., Caspel M. van, Zenk W., et al. Warming Trend in Antarctic Bottom Water in the Vema Channel in the South Atlantic // Geophysical Research Letters. — 2021. — Vol. 48, no. 19. — https://doi.org/10.1029/2021GL094709.

6. Coles V., McCartney M., Olson D., et al. Changes in Antarctic Bottom Water properties in the western South Atlantic in the late 1980s // Journal of Geophysical Research: Oceans. — 1996. — Vol. 101, no. C4. — P. 8957–8970. — https://doi.org/10.1029/95jc03721.

7. Donlon C., Martin M., Stark J., et al. The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system // Remote Sensing of Environment. — 2012. — Vol. 116. — P. 140–158. — https://doi.org/10.1016/j.rse.2010.10.017.

8. Fichefet T. and Maqueda M. Sensitivity of a global sea ice model to the treatment of ice thermodynamics and dynamics // Journal of Geophysical Research: Oceans. — 1997. — Vol. 102, no. C6. — P. 12609–12646. — https://doi.org/10.1029/97jc00480.

9. Gordon A., Huber B., McKee D., et al. A seasonal cycle in the export of bottom water from the Weddell Sea // Nature Geoscience. — 2010. — Vol. 3, no. 8. — P. 551–556. — https://doi.org/10.1038/ngeo916.

10. Gouretski V. and Danilov A. Weddell Gyre: structure of the eastern boundary // Deep Sea Research Part I: Oceanographic Research Papers. — 1993. — Vol. 40, no. 3. — P. 561–582. — https://doi.org/10.1016/0967-0637(93)90146-t.

11. Gouretski V. and Reseghetti F. On depth and temperature biases in bathythermograph data: Development of a new correction scheme based on analysis of a global ocean database // Deep Sea Research Part I: Oceanographic Research Papers. — 2010. — Vol. 57, no. 6. — P. 812–833. — https://doi.org/10.1016/j.dsr.2010.03.011.

12. Gusev A., Diansky N., Fomin V., et al. The Model of Oceanic and Marine Circulation INMOM: From Origins to the Present Day // Izvestiya, Atmospheric and Oceanic Physics. — 2025. — Vol. 61, no. 3. — P. 311–324. — https://doi.org/10.1134/s0001433825700653.

13. Keeley S. and Mogensen K. Dynamic sea ice in the IFS // ECMWF Newsletter. — 2018. — P. 23–29. — https://doi.org/10.21957/4SKA25FURB.

14. Keeley S., Mogensen K., Bidlot J. R., et al. Introduction of a new ocean and sea-ice model based on NEMO4-SI3 // ECMWF Newsletter. — 2024. — P. 24–29. — https://doi.org/10.21957/SK4928DS0A.

15. Madec G. and the NEMO team. NEMO Ocean Engine. Version 3.6 stable. — 2008. — URL: https://www.nemoocean.eu/doc/.

16. McDougall T. J. and Barker P. M. Getting started with TEOS-10 and the Gibbs Seawater (GSW) oceanographic toolbox. Version 3.06.12. — SCOR/IAPSO WG127, 2011. — 34 p.

17. Meredith M., Naveira Garabato A., Gordon A., et al. Evolution of the Deep and Bottom Waters of the Scotia Sea, Southern Ocean, during 1995-2005 // Journal of Climate. — 2008. — Vol. 21, no. 13. — P. 3327–3343. — https://doi.org/10.1175/2007JCLI2238.1.

18. Morozov E., Bagatinskaya V., Bagatinsky V., et al. Variability of the Temperature Dome of Weddell Sea Deep Water Depending on the Intensity of the Cyclonic Wind Field // Izvestiya, Atmospheric and Oceanic Physics. — 2024. — Vol. 60, no. 5. — P. 579–595. — https://doi.org/10.1134/s0001433824700476.

19. Morozov E., Frey D., Zuev O., et al. Hydraulically Controlled Bottom Flow in the Orkney Passage // Water. — 2022. — Vol. 14, no. 19. — P. 3088. — https://doi.org/10.3390/w14193088.

20. Morozov E., Tarakanov R. and Frey D. Bottom Gravity Currents and Overflows in Deep Channels of the Atlantic Ocean: Observations, Analysis, and Modeling. — Cham : Springer International Publishing, 2021. — https://doi.org/10.1007/978-3-030-83074-8.

21. Naveira Garabato A., McDonagh E., Stevens D., et al. On the export of Antarctic Bottom Water from the Weddell Sea // Deep Sea Research Part II: Topical Studies in Oceanography. — 2002. — Vol. 49, no. 21. — P. 4715–4742. — https://doi.org/10.1016/s0967-0645(02)00156-x.

22. Penduff T., Juza M., Brodeau L., et al. Impact of global ocean model resolution on sea-level variability with emphasis on interannual time scales // Ocean Science. — 2010. — Vol. 6, no. 1. — P. 269–284. — https://doi.org/10.5194/os-6-269-2010.

23. Pujol M. I., Faugére Y., Taburet G., et al. DUACS DT2014: the new multi-mission altimeter data set reprocessed over 20 years // Ocean Science. — 2016. — Vol. 12, no. 5. — P. 1067–1090. — https://doi.org/10.5194/os-12-1067-2016.

24. Reynolds R., Smith T., Liu C., et al. Daily High-Resolution-Blended Analyses for Sea Surface Temperature // Journal of Climate. — 2007. — Vol. 20, no. 22. — P. 5473–5496. — https://doi.org/10.1175/2007jcli1824.1.

25. Sarkisyan A. and Sündermann J. Nonlinear Models for Diagnostic, Prognostic and Adjustment Calculations of Ocean Climate Characteristics // Modelling Ocean Climate Variability. — Dordrecht : Springer Netherlands, 2009. — P. 67–102. — https://doi.org/10.1007/978-1-4020-9208-4_3.

26. Voevodin V., Antonov A., Nikitenko D., et al. Supercomputer Lomonosov-2: Large Scale, Deep Monitoring and Fine Analytics for the User Community // Supercomputing Frontiers and Innovations. — 2019. — Vol. 6. — P. 4–11. — https://doi.org/10.14529/jsfi190201.

27. Zuo H., Balmaseda M., Tietsche S., et al. The ECMWF operational ensemble reanalysis-analysis system for ocean and sea ice: a description of the system and assessment // Ocean Science. — 2019. — Vol. 15, no. 3. — P. 779–808. — https://doi.org/10.5194/os-15-779-2019.


Войти или Создать
* Забыли пароль?