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  1. 481
  2. 482

    Issues of the Russian liquefied natural gas market in the context of sanctions pressure and ways to solve them by A. A. Laznik, T. S. Gordeeva

    Published 2024-10-01
    “…However, under the conditions of sanctions imposed by “unfriendly” countries on the supply of technologies and equipment required for liquefied natural gas production and transportation, not only the industry development, but also implementation of the Energy Strategy of the Russian Federation for the period up to 2035 is threatened, especially major projects implementation on the Arctic coast of the country. All of the above speaks for the relevance of the study, the objectives of which are to assess the Russian market of liquefied natural gas in the context of the introduced technological restrictions, to identify the key problems arising as a result of this unfavorable situation and to determine the directions for the industry further development.…”
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  3. 483

    Solar Cycle Variations of GPS Amplitude Scintillation for the Polar Region by K. Meziane, A. Kashcheyev, S. Patra, P. T. Jayachandran, A. M. Hamza

    Published 2020-08-01
    “…Abstract Global Positioning System (GPS) L1 amplitude data, obtained using the Canadian High Arctic Ionospheric Network (CHAIN) during the period 2008–2018, is used to study the seasonal and solar cycle dependence of high‐latitude amplitude scintillation. …”
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  4. 484
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    The Polar Cap (PC) Index: PCS Version Based on Dome‐C Data by Peter Stauning

    Published 2022-04-01
    “…Abstract The standard polar cap (PC) indices, PCN (North) based on magnetic data from Qaanaaq in Greenland and PCS (South) based on data from Vostok in Antarctica, have been submitted from the Arctic and Antarctic Research Institute in St. Petersburg, Russia, the Danish Meteorological Institute, and the Danish Space Research Institute in different versions. …”
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    Topside Electron Density Modeling Using Neural Network and Empirical Model Predictions by S. Dutta, M. B. Cohen

    Published 2023-12-01
    “…Abstract We model the electron density in the topside of the ionosphere with an improved machine learning (ML) model and compare it to existing empirical models, specifically the International Reference Ionosphere (IRI) and the Empirical‐Canadian High Arctic Ionospheric Model (E‐CHAIM). In prior work, an artificial neural network (NN) was developed and trained on two solar cycles worth of Defense Meteorological Satellite Program data (113 satellite‐years), along with global drivers and indices to predict topside electron density. …”
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  10. 490
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    The principles formation of sustainable development of oil and gas companies by A. V. Kolesnikova

    Published 2023-03-01
    “…In connection with the growing geopolitical threats, the increasing pressure of oil-producing countries on pricing and production levels, participation in the development of the Arctic shelf, as well as the internal problems of the Russian Federation and the companies themselves, which are strategically important in the country’s economy, the necessity and need for the development and improvement of the sustainable development mechanism are relevant and justified. …”
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  12. 492
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    Spectral Analysis of the Svalbard Temperature Record 1912–2010 by Ole Humlum, Jan-Erik Solheim, Kjell Stordahl

    Published 2011-01-01
    “…Climate development with possible anthropogenic effects occurs on a background of natural climatic variations, which may be considerable, and especially in the Arctic. Natural climate variations however remain poorly understood, although they remain important for discriminating between natural and anthropogenic influences on current climate change. …”
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    Estimation of Continental-Basin-Scale Sublimation in the Lena River Basin, Siberia by Kazuyoshi Suzuki, Glen E. Liston, Koji Matsuo

    Published 2015-01-01
    “…The Lena River basin in Siberia produces one of the largest river inflows into the Arctic Ocean. One of the most important sources of runoff to the river is spring snowmelt and therefore snow ablation processes have great importance for this basin. …”
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  16. 496

    EthnoFilm: cinema-school and ethno-laboratory by Ivan Golovnev

    Published 2017-07-01
    “…The EthnoFilm project intended as the educational ethnocultural initiative, aimed to attraction of interested youth to ethnographic research and video fixation of the unique cultural phenomena of the peoples of Arctic and Subarctic regions: Nenets, Khanty, Mansi, Komi. …”
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  17. 497

    Makro-deliberasjon i lokalpolitiske debatter<subtitle>Macro-deliberation in Local Political Debates</subtitle> by Hilde Bjørnå, Hans-Kristian Hernes, Beate Steinveg

    Published 2025-01-01
    “…Denne artikkelen setter søkelys på deliberativt demokrati i samfunnsdebatten gjennom å belyse ulike arenaer hvor et lokalt vekst/vern-problem diskuteres i forbindelse med utbyggingen av et større reiselivsanlegg, Arctic Center i Tromsø. Formålet er å finne ut i hvilken grad ulike arenaer ivaretar sentrale deliberative elementer, hvordan arenaene virker i forhold til hverandre, og hvordan de kan påvirke meningsutveksling og meningsdannelse. …”
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    Crop wild relatives in Vologda Province by L. Yu. Shipilina

    Published 2019-01-01
    “…Floristic areas most important for further research were named: Mologo-Vologdsky, Verkhnesukhonsky, as the richest in CWR composition, which was caused by a combination of Boreal, Arctic and European species, and Yugsky Districts, where a large number of Ural-Siberian species of CWR occur. …”
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  20. 500

    Seasonal changes of mélange thickness coincide with Greenland calving dynamics by Yue Meng, Ching-Yao Lai, Riley Culberg, Michael G. Shahin, Leigh A. Stearns, Justin C. Burton, Kavinda Nissanka

    Published 2025-01-01
    “…We develop a three-dimensional discrete element model of mélange along with a simple analytical model to quantify the mélange buttressing using mélange thickness data from ArcticDEM over 32 Greenland glacier termini. We observed a strong seasonality in mélange thickness: thin mélange (averaged thickness $$3{4}_{-15}^{+17}$$ 3 4 − 15 + 17 m) in summertime when terminus retreats, and thick mélange (averaged thickness $$11{9}_{-37}^{+31}$$ 11 9 − 37 + 31 m) in wintertime when terminus advances. …”
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