Academic literature on the topic 'Sea ice; Arctic'

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Journal articles on the topic "Sea ice; Arctic"

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Blockley, Edward W., and K. Andrew Peterson. "Improving Met Office seasonal predictions of Arctic sea ice using assimilation of CryoSat-2 thickness." Cryosphere 12 (October 30, 2018): 3419–38. https://doi.org/10.5194/tc-12-3419-201.

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Interest in seasonal predictions of Arctic sea ice has been increasing in recent years owing, primarily, to the sharp reduction in Arctic sea-ice cover observed over the last few decades, a decline that is projected to continue. The prospect of increased human industrial activity in the region, as well as scientific interest in the predictability of sea ice, provides important motivation for understanding, and improving, the skill of Arctic predictions. Several operational forecasting centres now routinely produce seasonal predictions of sea-ice cover using coupled atmosphere&nd
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Zhang, Yuanyuan, Xiao Cheng, Jiping Liu, and Fengming Hui. "The potential of sea ice leads as a predictor for summer Arctic sea ice extent." Cryosphere 12, no. 12 (2018): 3747–57. http://dx.doi.org/10.5194/tc-12-3747-2018.

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Abstract. The Arctic sea ice extent throughout the melt season is closely associated with initial sea ice state in winter and spring. Sea ice leads are important sites of energy fluxes in the Arctic Ocean, which may play an important role in the evolution of Arctic sea ice. In this study, we examine the potential of sea ice leads as a predictor for summer Arctic sea ice extent forecast using a recently developed daily sea ice lead product retrieved from the Moderate-Resolution Imaging Spectroradiometer (MODIS). Our results show that July pan-Arctic sea ice extent can be predicted from the area
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Nehiem, Son, and G. Neumann. "Arctic sea ice change." IOP Conference Series: Earth and Environmental Science 6, no. 1 (2009): 012012. http://dx.doi.org/10.1088/1755-1307/6/1/012012.

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Mikolajewicz, Uwe, Dmitry V. Sein, Daniela Jacob, Torben Königk, Ralf Podzun, and Tido Semmler. "Simulating Arctic sea ice variability with a coupled regional atmosphere-ocean-sea ice model." Meteorologische Zeitschrift 14, no. 6 (2005): 793–800. http://dx.doi.org/10.1127/0941-2948/2005/0083.

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Cocetta, Francesco, Lorenzo Zampieri, Julia Selivanova, and Doroteaciro Iovino. "Assessing the representation of Arctic sea ice and the marginal ice zone in ocean–sea ice reanalyses." Cryosphere 18, no. 10 (2024): 4687–702. http://dx.doi.org/10.5194/tc-18-4687-2024.

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Abstract. The recent development of data-assimilating reanalyses of the global ocean and sea ice enables a better understanding of the polar region dynamics and provides gridded descriptions of sea ice variables without temporal and spatial gaps. Here, we study the spatiotemporal variability of the Arctic sea ice area and thickness using the Global ocean Reanalysis Ensemble Product (GREP) produced and disseminated by the Copernicus Marine Service (CMS). GREP is compared and validated against the state-of-the-art regional reanalyses PIOMAS and TOPAZ, as well as observational datasets of sea ice
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Dekker, Evelien, Richard Bintanja, and Camiel Severijns. "Nudging the Arctic Ocean to Quantify Sea Ice Feedbacks." Journal of Climate 32, no. 8 (2019): 2381–95. http://dx.doi.org/10.1175/jcli-d-18-0321.1.

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AbstractWith Arctic summer sea ice potentially disappearing halfway through this century, the surface albedo and insulating effects of Arctic sea ice will decrease considerably. The ongoing Arctic sea ice retreat also affects the strength of the Planck, lapse rate, cloud, and surface albedo feedbacks together with changes in the heat exchange between the ocean and the atmosphere, but their combined effect on climate sensitivity has not been quantified. This study presents an estimate of all Arctic sea ice related climate feedbacks combined. We use a new method to keep Arctic sea ice at its pre
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Li, Dawei, Rong Zhang, and Thomas Knutson. "Comparison of Mechanisms for Low-Frequency Variability of Summer Arctic Sea Ice in Three Coupled Models." Journal of Climate 31, no. 3 (2018): 1205–26. http://dx.doi.org/10.1175/jcli-d-16-0617.1.

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Abstract In this study the mechanisms for low-frequency variability of summer Arctic sea ice are analyzed using long control simulations from three coupled models (GFDL CM2.1, GFDL CM3, and NCAR CESM). Despite different Arctic sea ice mean states, there are many robust features in the response of low-frequency summer Arctic sea ice variability to the three key predictors (Atlantic and Pacific oceanic heat transport into the Arctic and the Arctic dipole) across all three models. In all three models, an enhanced Atlantic (Pacific) heat transport into the Arctic induces summer Arctic sea ice decl
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Simon, Amélie, Guillaume Gastineau, Claude Frankignoul, Clément Rousset, and Francis Codron. "Transient Climate Response to Arctic Sea Ice Loss with Two Ice-Constraining Methods." Journal of Climate 34, no. 9 (2021): 3295–310. http://dx.doi.org/10.1175/jcli-d-20-0288.1.

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AbstractThe impact of Arctic sea ice loss on the ocean and atmosphere is investigated focusing on a gradual reduction of Arctic sea ice by 20% of the annual mean, occurring within 30 years, starting from present-day conditions. Two ice-constraining methods are explored to melt Arctic sea ice in a coupled climate model, while keeping present-day conditions for external forcing. The first method uses a reduction of sea ice albedo, which modifies the incoming surface shortwave radiation. The second method uses a reduction of thermal conductivity, which changes the heat conduction flux inside ice.
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Brennan, M. Kathleen, and Gregory J. Hakim. "Reconstructing Arctic Sea Ice over the Common Era Using Data Assimilation." Journal of Climate 35, no. 4 (2022): 1231–47. http://dx.doi.org/10.1175/jcli-d-21-0099.1.

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Abstract Arctic sea ice decline in recent decades has been dramatic; however, few long-term records of Arctic sea ice exist to put such a decline in context. Here we employ an ensemble Kalman filter data assimilation approach to reconstruct Arctic sea ice concentration over the last two millennia by assimilating temperature-sensitive proxy records with ensembles drawn from last millennium climate model simulations. We first test the efficacy of this method using pseudoproxy experiments. Results show good agreement between the target and reconstructed total Arctic sea ice extent (R2 value and c
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Stroeve, Julienne, Allan Frei, James McCreight, and Debjani Ghatak. "Arctic sea-ice variability revisited." Annals of Glaciology 48 (2008): 71–81. http://dx.doi.org/10.3189/172756408784700699.

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AbstractThis paper explores spatial and temporal relationships between variations in Arctic sea-ice concentration (summer and winter) and near-surface atmospheric temperature and atmospheric pressure using multivariate statistical techniques. Trend, empirical orthogonal function (EOF) and singular value decomposition (SVD) analyses are used to identify spatial patterns associated with covariances and correlations between these fields. Results show that (1) in winter, the Arctic Oscillation still explains most of the variability in sea-ice concentration from 1979 to 2006; and (2) in summer, a d
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Dissertations / Theses on the topic "Sea ice; Arctic"

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Lipscomb, William H. "Modeling the thickness distribution of Arctic sea ice /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/10081.

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Cruz, García Rubén. "Seasonal Arctic sea ice predictability and prediction." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/670223.

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Arctic sea ice plays a central role in the Earth’s climate. Changes in the sea ice on seasonal-to-interannual timescales impact ecosystems, populations and a growing number of stakeholders. A prerequisite for achieving better sea ice predictions is a better understanding of the underlying mechanisms of sea ice predictability. In the first part, we investigate the seasonal-to-interannual Arctic sea ice predictability in perfect-model experiments performed with six different climate models. Similar pan-Arctic winter sea ice extent (SIE) reemergence is found for HadGEM1.2, GFDL-CM3 and E6F, w
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Stone, Megan M. "Long-range forecasting of Arctic sea ice." Thesis, Monterey, California : Naval Postgraduate School, 2010. http://edocs.nps.edu/npspubs/scholarly/theses/2010/Jun/10Jun%5FsTONE.pdf.

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Thesis (M.S. in Meteorology)--Naval Postgraduate School, June 2010.<br>Thesis Advisor(s): Murphree, Tom ; Meyer, David. "June 2010." Description based on title screen as viewed on July 14, 2010. Author(s) subject terms: Arctic, Sea Ice, Sea Ice Concentration, Beaufort Sea, Military Operations, Climate, Climatology, Climate Analysis, Climate Prediction, Long-range Forecast, Statistical Forecast, Meteorology, Arctic Oscillation, North Atlantic Oscillation, Caribbean Sea. Includes bibliographical references (p. 89-92). Also available in print.
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Yu, Yanling. "Regional Arctic ice thickness and brine flux from AVHRR /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/11067.

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Swick, William A. "High latitude coupled sea-ice-air thermodynamics." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sep%5FSwick.pdf.

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Thesis (M.S. in Meteorology and Physical Oceanography)--Naval Postgraduate School, Sept. 2004.<br>Thesis advisor(s): Roland W. Garwood. Includes bibliographical references (p. 71-73). Also available online.
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Hutchings, Jennifer Katy. "On modelling the mass of Arctic sea ice." Thesis, University College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246736.

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Kapsch, Marie-Luise. "The atmospheric contribution to Arctic sea-ice variability." Doctoral thesis, Stockholms universitet, Meteorologiska institutionen (MISU), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-119779.

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The Arctic sea-ice cover plays an important role for the global climate system. Sea ice and the overlying snow cover reflect up to eight times more of the solar radiation than the underlying ocean. Hence, they are important for the global energy budget, and changes in the sea-ice cover can have a large impact on the Arctic climate and beyond. In the past 36 years the ice cover reduced significantly. The largest decline is observed in September, with a rate of more than 12% per decade. The negative trend is accompanied by large inter-annual sea-ice variability: in September the sea-ice extent v
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Linkin, Megan E. "North Pacific climate variability and Arctic sea ice." College Park, Md.: University of Maryland, 2008. http://hdl.handle.net/1903/8476.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2008.<br>Thesis research directed by: Dept. of Atmospheric and Oceanic Sciences. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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King, Jennifer. "Sea ice tracking from SAR in the Arctic." Thesis, University of Sheffield, 2012. http://etheses.whiterose.ac.uk/3195/.

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Satellite observations play an important role in ice identification services because they are cost effective and efficient compared to extensive field campaigns. Radar data are extensively used to derive information about sea ice extent and move- ment. In the first part of this thesis I adapt a semi-automated algorithm, originally developed by Silva (2006) to track large icebergs in Antarctic waters, to track the movement of ice in the Northern Hemisphere. In addition to the move from Antarctic to Arctic waters, the algorithm is adapted to track sea ice rather than icebergs, with an attendant
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Howell, Fergus William. "Sea ice climate interactions in the Pliocene Arctic." Thesis, University of Leeds, 2015. http://etheses.whiterose.ac.uk/11692/.

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The mid-Pliocene Warm Period (mPWP, 3.264 to 3.025 Myr ago) has been extensively studied through the use of general circulation models (GCMs). Whilst the output from these simulations replicates closely many of the patterns of the climate of the interval indicated by proxy data, at northern high latitudes the reconstructed proxy data temperatures exceed the model temperatures by over 15˚C for some sites. This data-model discrepancy highlights the importance of focusing on model representation of processes that strongly affect the northern high latitude climates. Arctic sea ice exerts a strong
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Books on the topic "Sea ice; Arctic"

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Lund-Hansen, Lars Chresten, Dorte Haubjerg Søgaard, Brian Keith Sorrell, Rolf Gradinger, and Klaus Martin Meiners. Arctic Sea Ice Ecology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37472-3.

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Johannessen, Ola M., Leonid P. Bobylev, Elena V. Shalina, and Stein Sandven, eds. Sea Ice in the Arctic. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-21301-5.

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Melʹnikov, I. A. The Arctic sea ice ecosystem. Gordon and Breach, 1997.

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Bonington, Chris. Sea, ice, and rock. Sheridan House, 1993.

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Garrett, Robert P. Temporal and spatial distributions of Arctic sea ice thickness and pressure ridging statistics. Naval Postgraduate School, 1985.

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D, Dethleff, and Nürnberg D, eds. East Siberian Arctic Region Expedition '92: The Laptev Sea, its significance for Arctic sea-ice formation and transpolar sediment flux. Alfred-Wegener-Institut für Polar- und Meeresforschung, 1993.

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Steffen, Konrad. Surface temperature and sea ice of an Arctic polynya: North Water in winter : Canadian and Greenlandic High Arctic. Geographisches Institut, Eidgenössische Technische Hochschule Zürich, 1985.

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DeWeaver, Eric T., Cecilia M. Bitz, and L. Bruno Tremblay, eds. Arctic Sea Ice Decline: Observations, Projections, Mechanisms, and Implications. American Geophysical Union, 2008. http://dx.doi.org/10.1029/gm180.

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1964-, DeWeaver Eric T., Bitz Cecilia M, and Tremblay L. -Bruno, eds. Arctic sea ice decline: Observations, projections, mechanisms, and implications. American Geophysical Union, 2008.

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L, Parkinson Claire, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Arctic sea ice, 1973-1976: Satellite passive-microwave observations. Scientific and Technical Information Branch, National Aeronautics and Space Administration, 1987.

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Book chapters on the topic "Sea ice; Arctic"

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Laidre, Kristin L., and Eric V. Regehr. "Arctic marine mammals and sea ice." In Sea Ice. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118778371.ch21.

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Cottier, Finlo, Michael Steele, and Frank Nilsen. "Sea ice and Arctic Ocean oceanography." In Sea Ice. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118778371.ch7.

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Horner, Rita A. "Arctic Sea-Ice Biota." In The Arctic Seas. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0677-1_5.

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Gerdes, Rüdiger, and Peter Lemke. "Sea-Ice–Ocean Modelling." In Arctic Climate Change. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2027-5_10.

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Lépy, Élise. "Living with Baltic Sea Ice." In Arctic Encounters. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-36445-7_3.

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Karnovsky, Nina J., and Maria V. Gavrilo. "A feathered perspective: the influence of sea ice on Arctic marine birds." In Sea Ice. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118778371.ch23.

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Herman, Gerald F. "Arctic Stratus Clouds." In The Geophysics of Sea Ice. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4899-5352-0_7.

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Meier, Walter N. "Losing Arctic sea ice: observations of the recent decline and the long-term context." In Sea Ice. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118778371.ch11.

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Huntington, Henry P., Shari Gearheard, Lene Kielsen Holm, George Noongwook, Margaret Opie, and Joelie Sanguya. "Sea ice is our beautiful garden: indigenous perspectives on sea ice in the Arctic." In Sea Ice. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118778371.ch25.

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Lund-Hansen, Lars Chresten, Dorte Haubjerg Søgaard, Brian Keith Sorrell, Rolf Gradinger, and Klaus Martin Meiners. "The Book, and Ecology of Sea Ice." In Arctic Sea Ice Ecology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37472-3_1.

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Conference papers on the topic "Sea ice; Arctic"

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Evans, Benjamin, David Whelihan, Jehan Diaz-Charles, et al. "Arctic Sea Ice Monitoring Sensor Network Development." In OCEANS 2024 - Halifax. IEEE, 2024. http://dx.doi.org/10.1109/oceans55160.2024.10754140.

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Zabolotskikh, E. V., M. A. Zhivotovskaya, S. M. Azarov, and K. Yarusov. "Arctic Sea Ice Classification with the AMSR2 Data." In 2024 Photonics & Electromagnetics Research Symposium (PIERS). IEEE, 2024. http://dx.doi.org/10.1109/piers62282.2024.10617867.

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Borisova, Julia, and Nikolay O. Nikitin. "Lightweight Neural Ensemble Approach for Arctic Sea Ice Forecasting." In 2024 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2024. http://dx.doi.org/10.1109/cec60901.2024.10612104.

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Li, Xuefeng. "Research on Deep Learning-Driven Sea Ice Prediction for Arctic Sea Routes." In 2025 6th International Conference on Computer Vision, Image and Deep Learning (CVIDL). IEEE, 2025. https://doi.org/10.1109/cvidl65390.2025.11085535.

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Baek, Yun-Ho, Chung-Seo Park, and Yong-Shin So. "Coating Design of Ice Belt Zone in Arctic Vessels." In CORROSION 2012. NACE International, 2012. https://doi.org/10.5006/c2012-01712.

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Abstract The demand for an ice class ship may rise due to the opening of arctic sea routes. Ice class ship should be designed to cope with the severe environmental conditions of arctic sea such as a high mechanical impact and abrasion damage, caused by pack ice, ice bergs and low temperatures. The ice class ship hulls are coated with anti abrasion and low friction coatings, such as a solvent free or high solid epoxy. These coatings require a plural component spray gun and a high grade surface preparation. In this study, the coating performance for the arctic vessels, such as puncture absorbed
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Foss, Greg, An Nguyen, Victor Ocaña, and Patrick Heimbach. "Arctic Ocean-Sea Ice Interactions." In PEARC '18: Practice and Experience in Advanced Research Computing. ACM, 2018. http://dx.doi.org/10.1145/3219104.3229429.

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Marchenko, Nataliya. "Navigation in the Russian Arctic: Sea Ice Caused Difficulties and Accidents." In ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-10546.

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The 5 Russian Arctic Seas have common features, but differ significantly from each other in the sea ice regime and navigation specifics. Navigation in the Arctic is a big challenge, especially during the winter season. However, it is necessary, due to limited natural resources elsewhere on Earth that may be easier for exploitation. Therefore sea ice is an important issue for future development. We foresee that the Arctic may become ice free in summer as a result of global warming and even light yachts will be able to pass through the Eastern Passage. There have been several such examples in th
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Prasad, S., I. Zakharov, P. Bobby, D. Power, and P. McGuire. "Model Based Estimation of Sea Ice Parameters." In Arctic Technology Conference. Offshore Technology Conference, 2016. http://dx.doi.org/10.4043/27448-ms.

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Hume-Wright, Laura, Emma Fiedler, Nicolas Fournier, et al. "Sea Ice Thickness Forecast Performance in the Barents Sea." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18039.

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Abstract The presence of sea ice has a major impact on the safety, operability and efficiency of Arctic operations and navigation. While satellite-based sea ice charting is routinely used for tactical ice management, the marine sector does not yet make use of existing operational sea ice thickness forecasting. However, data products are now freely available from the Copernicus Marine Environment Monitoring Service (CMEMS). Arctic asset managers and vessels’ crews are generally not aware of such products, or these have so far suffered from insufficient accuracy, verification, resolution and ade
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Nghiem, Son V., and Pablo Clemete-Colon. "Arctic sea ice mapping with satellite radars." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720991.

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Reports on the topic "Sea ice; Arctic"

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Onstott, Robert G. Electromagnetic Study of Arctic Sea Ice. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada629377.

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Perovich, Don, and Bonnie Light. Sunlight, Sea Ice, and the Ice Albedo Feedback in a Changing Arctic Sea Ice Cover. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada601068.

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NAVAL POLAR OCEANOGRAPHY CENTER WASHINGTON DC. Eastern - Western Arctic Sea Ice Analysis 1987. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada205477.

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NAVAL POLAR OCEANOGRAPHY CENTER WASHINGTON DC. Eastern-Western Arctic Sea Ice Analysis 1992. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada292105.

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NAVAL POLAR OCEANOGRAPHY CENTER WASHINGTON DC. Eastern-Western Arctic Sea Ice Analyses, 1991. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada293387.

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NAVAL POLAR OCEANOGRAPHY CENTER WASHINGTON DC. Eastern-Western Arctic Sea Ice Analysis 1990. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada250238.

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Golden, Kenneth M., and Donald K. Perovich. Multiscale Models of Melting Arctic Sea Ice. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada601522.

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NAVAL POLAR OCEANOGRAPHY CENTER WASHINGTON DC. Eastern-Western Arctic Sea Ice Analysis: 1988. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada231333.

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NAVAL POLAR OCEANOGRAPHY CENTER WASHINGTON DC. Eastern-Western Arctic Sea Ice Analyses 1989. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada236540.

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Golden, Kenneth M., and Donald K. Perovich. Multiscale Models of Melting Arctic Sea Ice. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada617623.

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