Development of the programm module for mapping the probability distribution of encounter with sea ice for research of the Far Eastern Seas

DOI: 10.35595/2414-9179-2023-1-29-657-667

View or download the article (Rus)

About the Authors

Ilya V. Shumilov

Sakhalin state University,
290, Lenina str., Yuzhno-Sakhalinsk, 693000, Russia,
E-mail: ilyarolevik1@yandex.ru

Valery A. Romanyuk

Sakhalin state University,
290, Lenina str., Yuzhno-Sakhalinsk, 693000, Russia,
E-mail: varomanyuk2020@gmail.com

Darya V. Zarubina

Sakhalin state University,
290, Lenina str., Yuzhno-Sakhalinsk, 693000, Russia,
E-mail: dariadorofeyeva26@gmail.com

Vladimir M. Pishchal’nik

Sakhalin state University,
290, Lenina str., Yuzhno-Sakhalinsk, 693000, Russia,

Institute of Marine Geology and Geophysics Far Eastern Branch Russian Academy of Sciences,
1B, Nauki str., Yuzhno-Sakhalinsk, 693000, Russia,

E-mail: vpishchalnik@rambler.ru

Irina V. Nikulina

Sakhalin state University,
290, Lenina str., Yuzhno-Sakhalinsk, 693000, Russia,
E-mail: irinkaeremenko@yandex.ru

Abstract

The article presents a description of the developed software module for creating maps of the probability distribution of encountering sea ice. The module allows to process collections of raster map files based on satellite data and obtain vector maps of the probability distribution of encountering sea ice. Source data is Japan Meteorological Agency (JMA) maps provided in raster format without georeferencing, and National Snow and Ice Data Center (NSIDC) maps provided in GeoTIFF format with georeferencing. The module implements an algorithm that allows to calculate the probability of ice occurrence of a given concentration interval at each point (pixel) of a raster map, and then build polygonal vector maps in SHP-format based on the array of probabilities. The algorithm for constructing polygonal objects provides for a sequential enumeration of all horizontal adjacent pairs of elements of the array of probabilities, followed by determining the boundaries of the polygon. Detection of the first points of the polygon boundary allows to start a cyclic search for adjacent points that meet the boundary condition and creating a complete list of points of a closed polygon. Similarly, all other polygons are searched within the water area specified by the color mask. At the last stage, the lists of Cartesian coordinates of points are converted into geographical coordinates. Based on them, polygonal objects are formed in the SHP-file format. Polygon features define areas of probability of encountering ice that belong to the same interval, and include numeric attributes with values for the boundaries of the probability intervals. The generated vector maps allow further data analysis in GIS applications. The developed software was used to build maps of the probability distribution of encountering ice in the waters of the Far Eastern seas.

Keywords

ice encounter probability maps, ice cover, Far Eastern seas, Earth remote sensing, Python

References

  1. Gmurman V.E. Probability theory and mathematical statistics (4th ed.). Moscow: Higher school, 1972. 479 p. (in Russian).
  2. Kryndin A.N. Seasonal and interannual changes in ice extent and ice edge in the Far Eastern seas due to the peculiarities of atmospheric circulation. Proceedings of the State Oceanographic Institute, 1964. Iss. 71. P. 5–80 (in Russian).
  3. Mitnik L.M., Trusenkova O.O., Lobanov V.B. Microwave remote sensing of ocean and atmosphere from space: achievements and prospects (review). Vestnik of the Far East Branch of the Russian Academy of Sciences, 2015. No. 6. P. 21–22 (in Russian).
  4. Plotnikov V.V. Analog-statistical model for predicting the position of the ice edge, concentration, age and forms of ice in the Far Eastern seas. Russian Meteorology and Hydrology, 1997. No. 10. P. 59–68 (in Russian).
  5. Plotnikov V.V., Yakunin L.P., Petrov V.A. Ice conditions and methods of their forecasting. Project “Seas”. Hydrology and hydrochemistry of the seas. Sea of Okhotsk. Hydrometeorological conditions. St. Petersburg: Gidrometeoizdat, 1998. V. IX. Iss. 1. P. 291–340 (in Russian).
  6. Shumilov I.V., Minervin I.G., Pishchal’nik V.M., Nikonova E.V., Terentyev N.S. Development of a predictive rule for intra-seasonal ice cover dynamics: development phase. Physics of the Geospheres: XI All-Russian Symposium, September 9–14, 2019, Vladivostok, Russia. Vladivostok: V.I. Il’ichev Pacific Oceanological Institute. Far Eastern Branch of the Russian Academy of Sciences (POI FEB RAN), 2019. P. 214–219 (in Russian).
  7. Shumilov I.V., Minervin I.G., Pishchal’nik V.M., Terentyev N.S. Development of a software module for calculating ice cover edges based on Earth remote sensing data. Proceedings of the International Conference “InterCarto. InterGIS”, 2018. V. 24. Part 2. P. 171–177 (in Russian). DOI: 10.24057/2414-9179-2018-2-24-171-177.
  8. Tikhonov V.V., Raev M.D., Sharkov E.A., Boyarskii D.A., Repina I.A., Komarova N.Yu. Satellite microwave radiometry of sea ice in the polar regions. Review. Issledovanie Zemli iz kosmosa (Research of the Earth from space), 2016. No. 4. P. 65–84 (in Russian). DOI: 10.7868/S0205961416040072.
  9. Vakhrameeva L.A., Bugaevsky L.M., Kazakova Z.L. Mathematical cartography: Textbook for universities. Moscow: Nedra, 1986. 286 p. (in Russian).
  10. VanderPlas J. Python for complex tasks: Data science and machine learning. Series: “Bestsellers O’Reilly”. St. Petersburg: Piter, 2018. 576 p. (in Russian).
  11. Venztel E.S. Probability theory (4th ed.). Moscow: Nauka, 1969. 576 p. (in Russian).
  12. WMO guidelines for the calculation of climate standards. Geneva: WMO, 2017. No. 1203. 32 p. (in Russian).
  13. Yakunin L.P. Atlas of the boundaries of distribution and large forms of ice in the Far Eastern seas of Russia. Preprint. Vladivostok: POI FEB RAN, 1995. 58 p. (in Russian).
  14. Yakunin L.P. Atlas of the main parameters of the ice cover of the Sea of Japan. Vladivostok: Publishing House of the Far Eastern Federal University, 2012. 84 p. (in Russian).
  15. Yakunin L.P., Plotnikov V.V., Petrov A.G. Ice conditions. Project “Seas”. Hydrometeorology and hydrochemistry of the seas. Japanese Sea. Hydrometeorological conditions. St. Petersburg: Gidrometeoizdat, 1998. V. VIII. Iss. 1. P. 347–394 (in Russian).
  16. Zarubina D.V., Pishchal’nik V.M., Romanyuk V.A. Estimation of the probability of encountering ice in the Tatar Strait on the route De-Kastri—the edge. Marine intellectual technologies, 2022. No. 2. Part 1. P. 35–41 (in Russian). DOI: 10.37220/MIT.2022.56.2.004.

For citation: Shumilov I.V., Romanyuk V.A., Zarubina D.V., Pishchal’nik V.M., Nikulina I.V. Development of the programm module for mapping the probability distribution of encounter with sea ice for research of the Far Eastern Seas. InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: MSU, Faculty of Geography, 2023. V. 29. Part 1. P. 657–667. DOI: 10.35595/2414-9179-2023-1-29-657-667 (in Russian)