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Mapping the thickness of sea ice in the Arctic as an example of using data from a ship-based television complex for operational hydrometeorological support of maritime activities

https://doi.org/10.30758/0555-2648-2022-68-2-96-117

Abstract

Sea ice charts produced by the ice services of the world are among the most widely used sources of information about sea ice conditions in the Arctic. The absolute majority of sea ice charts are based on visual expert analysis of satellite imagery accompanied by auxiliary data including ground information from coastal stations and ships navigating the Northern Sea Route (NSR). Ground measurements of sea ice thickness are necessary for validating the results of satellite imagery interpretation. Shipboard observations are highly valuable because, unlike coastal stations, the ships provide information about sea ice cover straight on the navigational routes, not in the coastal areas of land-fast ice, where the thickness values are not fully representative of the ice in the open sea. However, the current system of shipboard observations used by commercial fleets often does not meet the reliability requirements due to the human factor involved in the process of data collection. In the early 2000s, the Arctic and Antarctic Research Institute (AARI) suggested a new methodology for shipboard ice thickness measurement. A ship-based television complex (STC) was developed in order to exclude the human factor and standardize observations. The inaccuracy value was estimated as 3.8 % of the real thickness. By 2018, STC had been upgraded to a new ship-based television meteorological complex (STMC) allowing continuous automatic measurement of ice thickness and many other related hydrometeorological parameters during the entire voyage. The automatic and autonomous operation of the new equipment allows placing it on board the ship without the need for an ice specialist to be permanently present. It means that STMC can be used by commercial fleets, which constantly increase the number of Arc7 ice class vessels they use. For economic reasons, reinforced ice class vessels, whose number is growing, represent the only available infrastructure suitable for the deployment of distributed network providing operational hydrometeorological monitoring on the NSR. A comparison of STC data with AARI ice charts has revealed that real-time transmission of STC data from ships to the ice service office could increase the accuracy of ice charts and, as a consequence, the quality of the entire system of hydrometeorological informational support of maritime activities in the Arctic.

About the Authors

E. V. Afanasyeva
State Scientific Center of the Russian Federation Arctic and Antarctic Research Institute; Space Research Institute of the Russian Academy of Sciences
Russian Federation

Ekaterina V. Afanasyeva

St. Petersburg,

Moscow



S. S. Serovetnikov
State Scientific Center of the Russian Federation Arctic and Antarctic Research Institute
Russian Federation

Sergei S. Serovetnikov

St. Petersburg



T. A. Alekseeva
State Scientific Center of the Russian Federation Arctic and Antarctic Research Institute; Space Research Institute of the Russian Academy of Sciences
Russian Federation

Tatiana A. Alekseeva

St. Petersburg,

Moscow



E. A. Grishin
State Scientific Center of the Russian Federation Arctic and Antarctic Research Institute
Russian Federation

Evgeniy A. Grishin

St. Petersburg



A. A. Solodovnik
State Scientific Center of the Russian Federation Arctic and Antarctic Research Institute
Russian Federation

Aleksandr A. Solodovnik

St. Petersburg



N. A. Filippov
State Scientific Center of the Russian Federation Arctic and Antarctic Research Institute
Russian Federation

Nikita A. Filippov

St. Petersburg



References

1. Afanas’eva E.V., Alekseeva T.A., Sokolova Iu.V., Demchev D.M., Chufarova M.S., Bychenkov Iu.D, Deviataev O.S. AARI methodology for sea ice charts composition. Rossiiskaia Arktika. Russian Arctic. 2019, 7: 5–20. doi: 10.24411/2658-4255-2019-10071. [In Russian].

2. Cryo. Automatic Sea Ice Analysis. Available at: https://cryo.met.no/en/automatic-sea-ice-analysis (accessed 05.05.2022).

3. Cheng A., Casati B., Tivy A., Zagon T., Lemieux J.-F., Tremblay L.B. Accuracy and inter-analyst agreement of visually estimated sea ice concentrations in Canadian Ice Service ice charts using singlepolarization RADARSAT-2. The Cryosphere. 2020, 14: 1289–1310. doi: 10.5194/tc-14-1289-2020.

4. Klein A.E., Tret’iakov V.Iu., Frolov S.V. Ustroistvo dlia izmereniia tolshchiny l’din s borta sudna (Instrument for measuring the thickness of ice floes from the ship’s board). Patent RF, no. 70983, 2008. [In Russian].

5. Frolov S.V., Klein A.E., Tret’iakov V.Iu. Results of using a digital TV complex for ice thickness measurements in the Arctic Basin in 2004–2005. Problemy Arktiki i Antarktiki. Problems of Arctic and Antarctic. 2007, 75: 123–127. [In Russian].

6. Serovetnikov S.S., Frolov S.V., Klein A.E. Ship-based television complex — the program for automatic sea ice thickness monitoring. Rossiiskaia Arktika. Russian Arctic. 2018, 2: 41–55. doi: 10.24411/2658-4255-2018-00017. [In Russian].

7. Serovetnikov S.S., Kovchin I.M. Sudovoi izmeritel’ tolshchiny l’da (Ship-based ice thickness measurer). Patent RF, no. 2767293, 2022. [In Russian].

8. Sea-ice information services in the world. WMO № 574. Geneva, 2019.

9. Sea ice nomenclature. WMO № 259, V. 1 — Terminology and codes. Geneva, 2017.

10. Sputnikovye metody opredeleniia kharakteristik ledianogo pokrova morei. Satellite methods for determining sea ice cover characteristics. Ed. Smirnov V.G. St. St. Petersburg: Arctic and Antarctic Research Institute, 2011: 240 p. [In Russian].

11. Johannessen O.M., Sandven S., Dalen Ø., Kloster K., Lundhaug M., Hamre T., Melentyev V.V., Alexandrov V., Bogdanov A., Babich N.I. SAR Sea Ice Interpretation Guide. NERSC Technical Report № 227. Bergen: NERSC, 2006: 104 p.

12. Shokr M., Sinha N.K. Sea Ice: Physics and Remote Sensing. New Jersey: Wiley, 2015: 624 p.

13. Postanovlenie Pravitel’stva RF 18.09.2020 N 1487 “Ob utverzhdenii Pravil plavaniia v akvatorii Severnogo morskogo puti” (Decree of the Government of the Russian Federation no. 1487, September 18, 2020 “On approval of the Rules for navigation in the area of the Northern Sea Route”). Available at: http://www.nsra.ru/files/fileslist/137-ru893-2020.pdf (accessed 16.05.2022). [In Russian].

14. Rukovodstvo po gidrometeorologicheskomu obespecheniiu morskoi deiatel’nosti. Guidance for hydrometeorological support of maritime activities. Roshydromet Guidance document № 52.27.881- 2019. Moscow: FGBU “Hydrometcenter of Russia”, 2019: 132 p. [In Russian].

15. Atlas ledianykh obrazovanii. Atlas of ice formations. Ed. Smolianitskii V. M. St. Petersburg: Arctic and Antarctic Research Institute, 2019: 232 p. [In Russian].

16. Sharonov A.Iu., Shmatkov V.A. The problem of hydrometeorological maintenance of year-round navigation in the East Siberian Sea. Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S.O. Makarova. Bulletin of the Admiral Makarov State University of Maritime and Inland Shipping. 2018, 10 (1): 170–182. doi: 10.21821/2309-5180-2018-10-1-170-182. [In Russian].

17. Frolov S.V., Tret’iakov V.Iu., Klein A.E., Alekseeva T.A. New data on sea ice thickness and its variability in the Arctic Basin in 2006-2009. Led i sneg. Ice and snow. 2011, 3 (115): 99–104. [In Russian].

18. Sea Ice Denmark. Available at: http://seaice.dk/ (accessed 05.05.2022).

19. Similä M., Mäkynen M., Cheng B., Rinne E. Multisensor data and thermodynamic sea-ice model based sea-ice thickness chart with application to the Kara Sea, Arctic Russia. Annals of Glaciology. 2013, 54 (62): 241–252. doi:10.3189/2013AoG62A163.

20. Zakhvatkina N.Yu., Alexandrov V.Yu., Johannessen O.M., Sandven S., Frolov I.Ye. Classification of Sea Ice Types in ENVISAT Synthetic Aperture Radar Images. IEEE Transactions on Geoscience and Remote Sensing. 2013, 51 (5): 2587–2600. doi: 10.1109/TGRS.2012.2212445.

21. Zakhvatkina N.Yu., Bychkova I.A. Bayesian Classification of the Ice Cover of the Arctic Seas. Izvestiya, Atmospheric and Oceanic Physics. 2015, 51 (9): 883–888. doi: 10.1134/S0001433815090212.

22. Rinne E., Similä M. Utilisation of CryoSat-2 SAR altimeter in operational ice charting. The Cryosphere. 2016, 10: 121–131. doi: 10.5194/tc-10-121-2016.

23. Mäkynen M., Karvonen J. MODIS Sea Ice Thickness and Open Water–Sea Ice Charts over the Barents and Kara Seas for Development and Validation of Sea Ice Products from Microwave Sensor Data. Remote Sensing. 2017, 9: 1324. doi:10.3390/rs9121324.

24. Zabolotskikh E.V., Khvorostovskii K.S., Balashova E.A., Kostylev A.I., Kudriavtsev V.N. Identification of large-scale sea ice ridge areas in the Arctic using ASCAT data. Sovremennye problemy distantsionnogo zondirovaniia Zemli iz kosmosa. Current problems in remote sensing of the Earth from space. 2020, 17 (3): 165–177. doi: 10.21046/2070-7401-2020-17-3-165-177. [In Russian].

25. Karvonen J., Rinne E., Sallila H., Uotila P., Mäkynen M. Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar. The Cryosphere. 2022, 16: 1821–1844. doi: 10.5194/tc-16-1821-2022.

26. Mahoney A.R., Barry R.G., Smolyanitsky V., Fetterer F. Observed sea ice extent in the Russian Arctic, 1933–2006. Journal of Geophysical Research. 2008, 113: C11005. doi:10.1029/2008JC004830.

27. Dumanskaia I.O. Ledovye usloviia morei evropeiskoi chasti Rossii. Ice conditions of the seas of the European part of Russia. Moscow; Obninsk: Research Group “Social Sciences”, 2014: 608 p. [In Russian].

28. Dumanskaia I.O. Ledovye usloviia morei aziatskoi chasti Rossii. Ice conditions of the seas of the Asian part of Russia. Moscow; Obninsk: Research Group “Social Sciences”, 2017: 640 p. [In Russian].

29. Karklin V.P., Khotchenkov S.V., Iulin A.V., Smolianitskii V.M. Seasonal changes in the stages of sea ice development in northeast part of the Kara Sea during the autumn and winter period. Problemy Arktiki i Antarktiki. Problems of Arctic and Antarctic. 2016, 4 (110): 41–50. [In Russian].

30. Karklin V.P., Khotchenkov S.V., Iulin A.V., Smolianitskii V.M. Formation of the stages of sea ice development composition in the south-western part of the Kara Sea during autumn-winter season. Problemy Arktiki i Antarktiki. Problems of Arctic and Antarctic. 2017, 3 (113): 16–26. doi: 10.30758/0555-2648-2017-0-3-16-26. [In Russian].

31. Khotchenkov S.V. Stages of sea ice development in the Laptev Sea. Problemy Arktiki i Antarktiki. Problems of Arctic and Antarctic. 2017, 4 (114): 5–15. doi: 10.30758/0555-2648-2017-0-4-5-15. [In Russian].


Review

For citations:


Afanasyeva E.V., Serovetnikov S.S., Alekseeva T.A., Grishin E.A., Solodovnik A.A., Filippov N.A. Mapping the thickness of sea ice in the Arctic as an example of using data from a ship-based television complex for operational hydrometeorological support of maritime activities. Arctic and Antarctic Research. 2022;68(2):96-117. (In Russ.) https://doi.org/10.30758/0555-2648-2022-68-2-96-117

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