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Electronic archive of data on leads in the Arctic seas.

https://doi.org/10.30758/0555-2648-2026-72-1-127-139

Abstract

Sea ice leads are narrow linear-shaped openings enclosed in ice. They may be covered with nilas or young ice. Climatological values of modal lead orientation and specific lead length are important characteristics for the study of spatial and temporal variability of leads both for needs of navigation in the Arctic and in the context of the Arctic climate change. To calculate climatological lead characteristics, a long-period data archive is required. The main source of observations on leads is satellite imagery. Manual interpretation of leads in satellite images is an extremely labor-intensive process. In 2025, we developed a method for automatic identification of leads retrieved from SuomiNPP infrared satellite images using a convolutional neural network. As a result of image processing with this method, each lead is represented as a polyline and defined by a set of geographic coordinates for the ends of the line segments. This kind of data representation provides calculation of all the main lead characteristics. Using the method, we compiled a data archive on leads in the Laptev and East Siberian Seas for 2012–2025. Data on leads for spring months were derived from visible-range SuomiNPP (for April–May 2012–2025) and Terra (for March–May 2000–2011) images. For this type of images, the model was retrained. The results obtained were verified by comparing the modal orientation and specific length of leads calculated from automatically identified data with those from expert interpretation data. It was found that the difference in modal orientation of leads was minor in a vast majority of cases: the average difference was 7–8°. Differences in the specific lead length were also small, averaging 1–10 m/km2. Data on leads in the winter months of 2000–2011 were retrieved from the free available results of processing the MODIS ice surface temperature data by applying the “multiway” algorithm, which is part of our method for automatic identification of leads. Verification of the results obtained in this way showed that the average difference in modal orientation values was 11°. Therefore, using lead data from all the datasets produced will not introduce significant error in the subsequent determination of generalized lead characteristics, provided that differences in the spatial resolution are taken into account. This enables us to aggregate all the datasets produced into a single data archive on leads in the Laptev and East Siberian seas in 2000–2025.

About the Authors

L. N. Dyment
State Scientific Center of the Russian Federation Arctic and Antarctic Research Institute
Russian Federation


E. G. Boikaya
State Scientific Center of the Russian Federation Arctic and Antarctic Research Institute
Russian Federation


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


K. G. Kortikova
State Scientific Center of the Russian Federation Arctic and Antarctic Research Institute
Russian Federation


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


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


References

1. Gorbunov Iu.A., Karelin I.D., Losev S.M. On the causes of sea ice cover discontinuities in winter season. Problemy Arktiki i Antarktiki = Arctic and Antarctic Research. 1986;62:110–116. (In Russ.).

2. Frolov S.V. Impact of orientation of ice discontinuites on the efficiency of ship traffic in the Arctic basin in summer. Problemy Arktiki i Antarktiki = Arctic and Antarctic Research. 2013;3(97):35–45. (In Russ.).

3. Frolov S.V., Kliachkin S.V. Accounting for the impact of orientation of leads in sea ice cover on the speed of ship movement in ice. Trudy Arkticheskogo i antarkticheskogo nauchno-issledovatel’skogo instituta = Transactions of AARI. 2001;443:103–111. (In Russ.).

4. Frolov S.V., Yulin A.V. Specialized hydrometeorological providing for high latitude voyages of RV “Akademik Fedorov” in 2000, 2004–2005 years. Problemy Arktiki i Antarktiki = Arctic and Antarctic Research. 2007;1(75):128–139. (In Russ.).

5. Losev S.M., Gorbunov Iu.A. Diagnostics and medium-range forecast of sea ice cover discontinuities. Trudy Arkticheskogo i antarkticheskogo nauchno-issledovatel’skogo instituta = Transactions of AARI. 1998;438:13–25. (In Russ.).

6. Willmes S., Heinemann G., Reiser F. ArcLeads: Daily sea-ice lead maps for the Arctic, 2002–2021, NOV-APR [dataset]. PANGAEA; 2023. Available at: https://doi.org/10.1594/PANGAEA.955561 (accessed 30.11.2025).

7. Hoffman J.P., Ackerman S.A., Liu Y. Key J.R. The detection and characterization of arctic sea ice leads with satellite imagers. Remote Sensing. 2019;11(5):521. https://doi.org/10.3390/rs11050521

8. Hoffman J.P., Ackerman S.A., Liu Y., Key J.R., McConnell I.L. VIIRS Sea ice leads detections using a U-Net [dataset]. Dryad; 2022. Available at: https://doi.org/10.5061/dryad.1vhhmgqwd (accessed 30.11.2025).

9. Dyment L.N., Ershova А.А., Boikaya E.G., Kortikova K.G. The problem of automatic identification of leads in the sea ice cover from satellite images. Issledovaniya Zemli iz kosmosa = Earth Research from Space. 2025;4:52–61. (In Russ.). https://doi.org/10.7868/S3034540525040046

10. Boikaya E.G., Kortikova K.G., Dyment L.N., Ershova А.А. Automatic identification of sea ice leads from SuomiNPP satellite images. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa = Current Problems in Remote Sensing of the Earth from Space. 2025;22(6):43–51. (In Russ.). https://doi.org/10.21046/2070-7401-2025-22-6-43-51

11. Смирнов В.Г. (ред.). Спутниковые методы определения характеристик ледяного покрова морей. СПб.: ААНИИ; 2011. 240 с.

12. NASA’s Earth Science Data and Information System (ESDIS) Worldview mapping application. NASA Worldview. Available at: https://worldview.earthdata.nasa.gov/ (accessed 04.12.2025).

13. Dyment L.N., Aksenov P.V., Losev S.M., Porubaev V.S. Influence of the spatial resolution of satellite images on the obtained values of the characteristics of leads in the ice cover of the Arctic seas. Izvestiya, Atmospheric and Oceanic Physics. 2021;57(9):1081–1086. https://doi.org/10.1134/S0001433821090462

14. Reiser F., Willmes S., Heinemann G. A new algorithm for daily sea ice lead identification in the Arctic and Antarctic winter from thermal-infrared satellite imagery. Remote Sensing. 2020;12(12):1957. https://doi.org/10.3390/rs12121957

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Review

For citations:


Dyment L.N., Boikaya E.G., Ershova A.A., Kortikova K.G., Porubaev V.S., Chirkova A.A. Electronic archive of data on leads in the Arctic seas. Arctic and Antarctic Research. 2026;72(1):127-139. (In Russ.) https://doi.org/10.30758/0555-2648-2026-72-1-127-139

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ISSN 0555-2648 (Print)
ISSN 2618-6713 (Online)