Articles | Volume 18, issue 2
https://doi.org/10.5194/tc-18-895-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-895-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Feb 2024
Research article |
| 27 Feb 2024
| 27 Feb 2024
Extent, duration and timing of the sea ice cover in Hornsund, Svalbard, from 2014–2023
Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland
A. Malin Johansson
'Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway
Eirik Malnes
NORCE Norwegian Research Centre AS, Oslo, Norway
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Cited articles
Andersen, S., Tonboe, R., Kaleschke, L., Heygster, G., and Pedersen, L. T.: Intercomparison of passive microwave sea ice concentration retrievals over the high-concentration Arctic sea ice, J. Geophys. Res., 112, C08004, https://doi.org/10.1029/2006JC003543, 2007.
Ardhuin, F.: IWWOC Arctic Sea Ice Backscatter Gridded Level 3 Composite from SCAT onboard CFOSAT, Ifremer [data set], https://doi.org/10.12770/6d58c023-6fe5-4cae-937b-479166a6f517, 2022.
Barnhart, K. R., Overeem, I., and Anderson, R. S.: The effect of changing sea ice on the physical vulnerability of Arctic coasts, The Cryosphere, 8, 1777–1799, https://doi.org/10.5194/tc-8-1777-2014, 2014.
Błaszczyk, M., Jania, J. A., and Kolondra, L.: Fluctuations of tidewater glaciers in Hornsund fjord (southern Svalbard) since the beginning of the 20th century, Pol. Polar Research, 34, 327–352, 2013.
Błaszczyk, M., Ignatiuk, D., Uszczyk, A., Cielecka-Nowak, K., Grabiec, M., Jania, J. A., Moskalik, M., and Walczowski, W.: Freshwater input to the Arctic fjord Hornsund (Svalbard), Polar Res., 38, 3506, https://doi.org/10.33265/polar.v38.3506, 2019.
Casas-Prat, M. and Wang, X. L.: Projections of extreme ocean waves in the Arctic and potential implications for coastal inundation and erosion, J. Geophys. Res.-Oceans, 125, e2019JC015745, https://doi.org/10.1029/2019JC015745, 2020.
Cavalieri, D. J., Parkinson, C. L., Gloersen, P., Comiso, J. C. and Zwally, H. J.: Deriving long-term time series of sea ice cover from satellite passive-microwave multisensor data sets, J. Geophys. Res., 104, 15803–15814, https://doi.org/10.1029/1999JC900081, 1999.
Cristea, A., van Houtte, J., and Doulgeris, A. P.: Integrating Incidence Angle Dependencies Into the Clustering-Based Segmentation of SAR Images, IEEE J. Sel. Top. Appl., 13, 2925–2939, https://doi.org/10.1109/JSTARS.2020.2993067, 2020.
Cristea, A., Johansson, A. M., Doulgeris, A. P., and Brekke, C.: Automatic Detection of Low-Backscatter Targets in the Arctic Using Wide Swath Sentinel-1 Imagery, IEEE J. Sel. Top. Appl., 15, 8870–8883, https://doi.org/10.1109/JSTARS.2022.3214069, 2022.
Dahlke, S., Hughes, N., Wagner, P, Gerland, S., Wawrzyniak, T., Ivanov, B., and Maturilli, M.: The observed recent surface air temperature development across Svalbard and concurring foot- prints in local sea ice cover, Int. J. Climatol., 40, 5246–5265, https://doi.org/10.1002/joc.6517, 2020.
De Rovere, F., Langone, L., Schroeder, K., Miserocchi, S., Giglio, F., Aliani S., and Chiggiato,J.: Water masses variability in inner Kongsfjorden (Svalbard) during 2010–2020, Front. Mar. Sci., 9, 741075, https://doi.org/10.3389/FMARS.2022.741075, 2022.
de Steur, L., Sumata, H., Divine, D. V., Granskog, M. A., and Pavlova O.: Upper ocean warming and sea ice reduction in the East Greenland Current from 2003 to 2019, Commun. Earth Environ., 4, 261, https://doi.org/10.1038/s43247-023-00913-3, 2023.
Forbes, D.: State of the Arctic Coast 2010 – Scientific Review and Outlook, Tech. Rep., International Arctic Science Committee, Land-ocean Interactions in the Coastal Zone, Arctic Monitoring and Assessment Programme, International Permafrost Association, Helmholtz-Zentrum, Geesthacht, Germany, 178 pp., http://arcticcoasts.org (last access: 18 July 2023), 2011.
Gerland, S. and Renner, A. H. H.: Sea-ice mass-balance monitoring in an Arctic fjord, Ann. Glaciol., 46, 435–442, https://doi.org/10.3189/172756407782871215, 2007.
Hanssen-Bauer, I., Førland, E. J., Hisdal, H., Mayer, S., Sandø, A. B., Sorteberg, A., Adakudlu, M., Andresen, J., Bakke, J., Beldring, S., Benestad, R., Bilt, W., Bogen, J., Borstad, C., Breili, K., Breivik, Ø., Børsheim, K. Y., Christiansen, H. H., Dobler, A., Engeset, R., Frauenfelder, R., Gerland, S., Gjelten, H. M., Gundersen, J., Isaksen, K., Jaedicke, C., Kierulf, H., Kohler, J., Li, H., Lutz, J., Melvold, K., Mezghani, A., Nilsen, F., Nilsen, I. B., Nilsen, J. E. Ø., Pavlova, O., Ravndal, O., Risebrobakken, B., Saloranta, T., Sandven, S., Schuler, T. V, Simpson, M. J. R., Skogen, M., Smedsrud, L. H., Sund, M., Vikhamar-Schuler, D., Westermann, S., and Wong, W. K.: Climate in Svalbard 2100, 1/2019, https://www.miljodirektoratet.no/globalassets/publikasjoner/M1242/M1242.pdf (last access: 1 September 2023), 2019.
Herman, A., Wojtysiak, K., and Moskalik, M.: Wind wave variability in Hornsund fjord, west Spitsbergen, Estuar. Coast. Shelf S., 217, 96–109, https://doi.org/10.1016/j.ecss.2018.11.001, 2019.
IPCC: The Ocean and Cryosphere in a Changing Climate, International Panel on Climate Change, https://www.ipcc.ch/srocc/home (last access: 24 July 2023), 2019.
Ivanova, N., Pedersen, L. T., Tonboe, R. T., Kern, S., Heygster, G., Lavergne, T., Sørensen, A., Saldo, R., Dybkjær, G., Brucker, L., and Shokr, M.: Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations, The Cryosphere, 9, 1797–1817, https://doi.org/10.5194/tc-9-1797-2015, 2015.
Johansson, A. M., Malnes, E., Gerland, S., Cristea, A., Doulgeris, A. P., Divine, D. V., Pavlova, O., and Lauknes, T. R.: Consistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1A/B, Ann. Glaciol., 61, 40–50, https://doi.org/10.1017/aog.2019.52, 2020.
Jones, C. E.: An automated algorithm for calculating the ocean contrast in support of oil spill response, Mar. Pollut. Bull., 191, 114952, https://doi.org/10.1016/j.marpolbul.2023.114952, 2023.
Kruszewski, G.: Ice conditions in Hornsund (Spitsbergen) during winter season 2008–2009, Problemy Klimatologii Polarnej, 20, 187–196, 2010 (in Polish).
Kruszewski, G.: Ice conditions in Hornsund during winter season 2009–2010 (SW Spitsbergen), Problemy Klimatologii Polarnej, 21, 229–239, 2011 (in Polish).
Kruszewski, G.: Ice conditions in Hornsund and adjacent waters (Spitsbergen) during winter season 2010–2011, Problemy Klimatologii Polarnej, 22, 69–82, 2012 (in Polish).
Kruszewski, G.: Ice conditions in Hornsund and adjacent waters (Spitsbergen) during winter season 2011–2012, Problemy Klimatologii Polarnej, 23, 169–179, 2013 (in Polish).
Larsen, Y., Engen, G., Lauknes, T., Malnes, E., and Høgda, K.: A generic differential interferometric SAR processing system, with applications to land subsidence and snow-water equivalent retrieval, Fringe 2005 Workshop, 610, ISBN 92-9092-921-9, 2006.
Lohse, J., Doulgeris, A. P., and Dierking, W.: An optimal decision-tree design strategy and its application to sea ice classification from SAR imagery, Remote Sens., 11, 1574, https://doi.org/10.3390/rs11131574, 2019.
Lohse, J., Doulgeris, A. P., and Dierking, W.: Mapping sea-ice types from Sentinel-1 considering the surface-type dependent effect of incidence angle, Ann. Glaciol., 61, 260–270, https://doi.org/10.1017/aog.2020.45, 2020.
Melsheimer, C. and Spreen, G.: AMSR2 ASI sea ice concentration data, Arctic, version 5.4 (NetCDF) (July 2012–December 2019), PANGAEA [data set], https://doi.org/10.1594/PANGAEA.898399, 2019.
Muckenhuber, S., Nilsen, F., Korosov, A., and Sandven, S.: Sea ice cover in Isfjorden and Hornsund, Svalbard (2000–2014) from remote sensing data, The Cryosphere, 10, 149–158, https://doi.org/10.5194/tc-10-149-2016, 2016.
NPI: Kartdata Svalbard 1:100 000 (S100 Kartdata)/Map Data, Norwegian Polar Institute [data set], https://doi.org/10.21334/npolar.2014.645336c7, 2014.
Nederhoff, K., Erikson, L., Engelstad, A., Bieniek, P., and Kasper, J.: The effect of changing sea ice on wave climate trends along Alaska's central Beaufort Sea coast, The Cryosphere, 16, 1609–1629, https://doi.org/10.5194/tc-16-1609-2022, 2022.
Overeem, I., Anderson, R. S., Wobus, C. W., Clow, G. D., Urban, F. E., and Matell, N.: Sea ice loss enhances wave action at the Arctic coast, Geophys. Res. Lett., 38, L17503, https://doi.org/10.1029/2011GL048681, 2011.
Ozsoy-Cicek, B., Ackley, S., Worby, A., Xie, H., and Lieser, J.: Antarctic sea-ice extents and concentrations: Comparison of satellite and ship measurements from International Polar Year cruises, Ann. Glaciol., 52, 318–326, https://doi.org/10.3189/172756411795931877, 2011.
Pang, X., Pu, J., Zhao, X., Ji, Q., Qu, M., and Cheng, Z.: Comparison between AMSR2 Sea Ice Concentration Products and Pseudo-Ship Observations of the Arctic and Antarctic Sea Ice Edge on Cloud-Free Days, Remote Sens., 10, 317, https://doi.org/10.3390/rs10020317, 2018.
Parkinson, C. L. and Cavalieri, D. J.: Arctic sea ice variability and trends, 1979–2006, J. Geophys. Res., 113, C07003, https://doi.org/10.1029/2007JC004558, 2008.
Pavlova, O., Gerland, S., and Hop, H.: Changes in sea ice extent and thickness in Kongsfjorden, Svalbard (2003–2016), in: The Ecosystem of Kongsfjorden, Svalbard, edited by: Hop, H. and Wiencke, C., Advances in Polar Ecology, 2, Springer, Cham, 105–136, https://doi.org/10.1007/978-3-319-46425-1_4, 2019.
Pętlicki, M., Ciepły, M., Jania, J. A., Promińska, A., and Kinnard, C.: Calving of tidewater glacier driven by melting at the waterline, J. Glaciol., 61, 851–863, https://doi.org/10.3189/2015JoG15J062, 2015.
Promińska, A., Falck, E., and Walczowski, W.: Interannual variability in hydrography and water mass distribution in Hornsund, an Arctic fjord in Svalbard, Polar Res., 37, 1495546, https://doi.org/10.1080/17518369.2018.1495546, 2018.
Rodgers, W. E.: Implementation of Sea Ice in the Wave Model SWAN, Naval Research Laboratory, Washington, DC, USA, 32 pp., https://apps.dtic.mil/sti/trecms/pdf/AD1073081.pdf (last access: 26 February 2024), 2019.
Rodzik, J. and Zagórski, P.: Shore ice and its influence on development of shores of the southwestern Spitsbergen, Oceanol. Hydrobiol. S., 38, 163–180, 2009.
Smith, T. G. and Lydersen, C.: Availability of suitable land-fast ice and predation as factors limiting ringed seal populations, Phoca hispida, in Svalbard, Polar Res., 10, 585–594, https://doi.org/10.3402/polar.v10i2.6769, 1991.
Styszyńska, A.: Ice conditions in Hornsund and its foreshore (south-west Spitsbergen) during winter season 2007/08, Problemy Klimatologii Polarnej, 19, 247–267, 2009 (in Polish).
Styszyńska, A. and Kowalczyk, M.: Ice conditions in Hornsund and its foreshore (south-west Spitsbergen) during winter season 2005/06, Problemy Klimatologii Polarnej, 17, 147–158, 2007 (in Polish).
Styszyńska, A. and Rozwadowska, A.: Ice conditions in Hornsund and its foreshore (south-west Spitsbergen) during winter season 2006/07, Problemy Klimatologii Polarnej, 18, 141–160, 2008 (in Polish).
Swirad, Z. M., Herman, A., Johansson, A. M., Rees, W. G., and Moskalik, M.: Incorporating sea ice into a nearshore wind wave transformation model (Hornsund, Svalbard), Figshare, https://doi.org/10.6084/m9.figshare.22302658.v1, 2023a.
Swirad, Z. M., Johansson, A. M., and Malnes, E.: Ice distribution in Hornsund fjord, Svalbard from Sentinel-1A/B (2014–2023), PANGAEA [data set], https://doi.org/10.1594/PANGAEA.963167, 2023b.
Swirad, Z. M., Moskalik, M., and Herman, A.: Wind wave and ater level dataset for Hornsund, Svalbard (2013–2021), Earth Syst. Sci. Data, 15, 2623–2633, https://doi.org/10.5194/essd-15-2623-2023, 2023c.
Urbański, J. A. and Litwicka, D.: The decline of Svalbard land-fast sea ice extent as a result of climate change, Oceanologia, 64, 535–545, https://doi.org/10.1016/j.oceano.2022.03.008, 2022.
Wawrzyniak, T. and Osuch, M.: A 40-year High Arctic climatological dataset of the Polish Polar Station Hornsund (SW Spitsbergen, Svalbard), Earth Syst. Sci. Data, 12, 805–815, https://doi.org/10.5194/essd-12-805-2020, 2020.
Zagórski, P., Rodzik, J., Moskalik, M., Strzelecki, M. C., Lim, M., Błaszczyk, M., Promińska, A., Kruszewski, G., Styszyńska, A., and Malczewski, A.: Multidecadal (1960–2011) shoreline changes in Isbjørnhamna (Hornsund, Svalbard), Pol. Polar Res., 36, 369–390, 2015.
Zakhvatkina, N., Korosov, A., Muckenhuber, S., Sandven, S., and Babiker, M.: Operational algorithm for ice–water classification on dual-polarized RADARSAT-2 images, The Cryosphere, 11, 33–46, https://doi.org/10.5194/tc-11-33-2017, 2017.
Short summary
We used satellite images to create sea ice maps of Hornsund fjord, Svalbard, for nine seasons and calculated the percentage of the fjord that was covered by ice. On average, sea ice was present in Hornsund for 158 d per year, but it varied from year to year. April was the "iciest'" month and 2019/2020, 2021/22 and 2014/15 were the "iciest'" seasons. Our data can be used to understand sea ice conditions compared with other fjords of Svalbard and in studies of wave modelling and coastal erosion.
We used satellite images to create sea ice maps of Hornsund fjord, Svalbard, for nine seasons...
