Volume 43 Issue 9
Sep.  2024
Turn off MathJax
Article Contents
Yuanyang Xie, Tingting Liu, Na Li, Ruibo Lei. Changes in area fraction of sediment-laden sea ice in the Arctic Ocean during 2000 to 2021[J]. Acta Oceanologica Sinica, 2024, 43(9): 81-92. doi: 10.1007/s13131-024-2364-1
Citation: Yuanyang Xie, Tingting Liu, Na Li, Ruibo Lei. Changes in area fraction of sediment-laden sea ice in the Arctic Ocean during 2000 to 2021[J]. Acta Oceanologica Sinica, 2024, 43(9): 81-92. doi: 10.1007/s13131-024-2364-1

Changes in area fraction of sediment-laden sea ice in the Arctic Ocean during 2000 to 2021

doi: 10.1007/s13131-024-2364-1
Funds:  The National Key Research and Development Program of China under contract No. 2021YFC2803304; the National Natural Science Foundation of China under contract No. 42325604; the Program of Shanghai Academic/Technology Research Leader under contract No. 22XD1403600; the Fundamental Research Funds for the Central Universities under contract No. 2042024kf0037; the Fund of Key Laboratory for Polar Science, Ministry of Natural Resources, Polar Research Institute of China, under contract No. KP202004.
More Information
  • Corresponding author: E-mail: leiruibo@pric.org.cn
  • Received Date: 2024-02-28
  • Accepted Date: 2024-04-25
  • Available Online: 2024-07-04
  • Publish Date: 2024-09-01
  • Sediment-laden sea ice plays an important role in Arctic sediment transport and biogeochemical cycles, as well as the shortwave radiation budget and melt onset of ice surface. However, at present, there is a lack of efficient observation approach from both space and in situ for the coverage of Arctic sediment-laden sea ice. Thus, both spatial distribution and long-term changes in area fraction of such ice floes are still unclear. This study proposes a new classification method to extract Arctic sediment-laden sea ice on the basic of the difference in spectral characteristics between sediment-laden sea ice and clean sea ice in the visible band using the MOD09A1 data with the resolution of 500 m, and obtains its area fraction over the pan Arctic Ocean during 2000−2021. Compared with Landsat-8 true color verification images with a resolution of 30 m, the overall accuracy of our classification method is 92.3%, and the Kappa coefficient is 0.84. The impact of clouds on the results of recognition and spatiotemporal changes of sediment-laden sea ice is relatively small from June to July, compared to that in May or August. Spatially, sediment-laden sea ice mostly appears over the marginal seas of the Arctic Ocean, especially the continental shelf of Chukchi Sea and the Siberian seas. Associated with the retreat of Arctic sea ice extent, the total area of sediment-laden sea ice in June–July also shows a significant decreasing trend of 8.99 × 104 km2 per year. The occurrence of sediment-laden sea ice over the Arctic Ocean in June–July leads to the reduce of surface albedo over the ice-covered ocean by 14.1%. This study will help thoroughly understanding of the role of sediment-laden sea ice in the evolution of Arctic climate system and marine ecological environment, as well as the heat budget and mass balance of sea ice itself.
  • loading
  • Arrigo K R. 2014. Sea ice ecosystems. Annual Review of Marine Science, 6: 439–467, doi: 10.1146/annurev-marine-010213-135103
    Barber D G, Harasyn M L, Babb D G, et al. 2021. Sediment-laden sea ice in southern Hudson Bay: Entrainment, transport, and biogeochemical implications. Elementa: Science of the Anthropocene, 9(1): 00108, doi: 10.1525/elementa.2020.00108
    Bliss A C, Anderson M R. 2018. Arctic sea ice melt onset timing from passive microwave-based and surface air temperature-based methods. Journal of Geophysical Research: Atmospheres, 123(17): 9063–9080, doi: 10.1029/2018JD028676
    Brest C L, Rossow W B. 1992. Radiometric calibration and monitoring of NOAA AVHRR data for ISCCP. International Journal of Remote Sensing, 13(2): 235–273, doi: 10.1080/01431169208904037
    Cornish S B, Johnson H L, Mallett R D C, et al. 2022. Rise and fall of sea ice production in the Arctic Ocean’s ice factories. Nature Communications, 2022(13): 7800, doi: 10.1038/s41467-022-34785-6
    Curry J A, Schramm J L, Rossow W B, et al. 1996. Overview of Arctic cloud and radiation characteristics. Journal of Climate, 9(8): 1731–1764, doi: 10.1175/1520-0442(1996)009<1731:OOACAR>2.0.CO;2
    Darby D A, Myers W B, Jakobsson M, et al. 2011. Modern dirty sea ice characteristics and sources: The role of anchor ice. Journal of Geophysical Research: Oceans, 116(C9): C09008
    Drusch M, Del Bello U, Carlier S, et al. 2012. Sentinel-2: ESA’s optical high-resolution mission for GMES operational services. Remote Sensing of Environment, 120: 25–36, doi: 10.1016/j.rse.2011.11.026
    Eicken H, Gradinger R, Gaylord A, et al. 2005. Sediment transport by sea ice in the Chukchi and Beaufort Seas: Increasing importance due to changing ice conditions?. Deep-Sea Research Part II: Topical Studies in Oceanography, 52(24–26): 3281–3302, doi: 10.1016/j.dsr2.2005.10.006
    Eicken H, Kolatschek J, Freitag J, et al. 2000. A key source area and constraints on entrainment for basin-scale sediment transport by Arctic sea ice. Geophysical Research Letters, 27(13): 1919–1922, doi: 10.1029/1999GL011132
    Feng Dongmei, Gleason C J, Lin Peirong, et al. 2021. Recent changes to Arctic river discharge. Nature Communications, 12(1): 6917, doi: 10.1038/s41467-021-27228-1
    Fang Shenghui, Zhang Jiajin. 2007. Spectral property analysis of water suspended sediment concentrations. Journal of Geomatics (in Chinese), 32(6): 47–49
    Gordeev V V. 2006. Fluvial sediment flux to the Arctic Ocean. Geomorphology, 80(1/2): 94–104, doi: 10.1016/j.geomorph.2005.09.008
    Grenfell T C. 1991. A radiative transfer model for sea ice with vertical structure variations. Journal of Geophysical Research: Oceans, 96(C9): 16991–17001, doi: 10.1029/91JC01595
    Holmes R M, McClelland J W, Peterson B J, et al. 2002. A circumpolar perspective on fluvial sediment flux to the Arctic Ocean. Global Biogeochemical Cycles, 16(4): 45–1-45-14
    Huck P, Light B, Eicken H, et al. 2007. Mapping sediment-laden sea ice in the Arctic using AVHRR remote-sensing data: Atmospheric correction and determination of reflectances as a function of ice type and sediment load. Remote Sensing of Environment, 107(3): 484–495, doi: 10.1016/j.rse.2006.10.002
    Irons J R, Dwyer J L, Barsi J A. 2012. The next Landsat satellite: the Landsat data continuity mission. Remote Sensing of Environment, 122: 11–21, doi: 10.1016/j.rse.2011.08.026
    Ito M, Ohshima K I, Fukamachi Y, et al. 2019. Favorable conditions for suspension freezing in an arctic coastal Polynya. Journal of Geophysical Research: Oceans, 124(12): 8701–8719, doi: 10.1029/2019JC015536
    Jakobsson M, Mayer L A, Bringensparr C, et al. 2020. The international bathymetric chart of the Arctic Ocean version 4.0. Scientific Data, 7(1): 176, doi: 10.1038/s41597-020-0520-9
    Ji Lei, Zhang Li, Wylie B. 2009. Analysis of dynamic thresholds for the normalized difference water index. Photogrammetric Engineering & Remote Sensing, 75(11): 1307–1317
    Kanna N, Toyota T, Nishioka J. 2014. Iron and macro-nutrient concentrations in sea ice and their impact on the nutritional status of surface waters in the southern Okhotsk Sea. Progress in Oceanography, 126: 44–57, doi: 10.1016/j.pocean.2014.04.012
    Krumpen T, Belter H J, Boetius A, et al. 2019. Arctic warming interrupts the Transpolar Drift and affects long-range transport of sea ice and ice-rafted matter. Scientific Reports, 9(1): 5459, doi: 10.1038/s41598-019-41456-y
    Krumpen T, Birrien F, Kauker F, et al. 2020. The MOSAiC ice floe: sediment-laden survivor from the Siberian shelf. The Cryosphere, 14(7): 2173–2187, doi: 10.5194/tc-14-2173-2020
    Laidre K L, Stirling I, Lowry L F, et al. 2008. Quantifying the sensitivity of arctic marine mammals to climate-induced habitat change. Ecological Applications, 18(sp2): S97–S125, doi: 10.1890/06-0546.1
    Ledley T S, Pfirman S. 1997. The impact of sediment-laden snow and sea ice in the Arctic on climate. Climatic Change, 37(4): 641–664, doi: 10.1023/A:1005354912379
    Lei Ruibo, Cheng Bin, Hoppmann M, et al. 2022. Seasonality and timing of sea ice mass balance and heat fluxes in the Arctic transpolar drift during 2019–2020. Elementa: Science of the Anthropocene, 10(1): 000089, doi: 10.1525/elementa.2021.000089
    Lei Ruibo, Tian-Kunze X, Leppäranta M, et al. 2016. Changes in summer sea ice, albedo, and portioning of surface solar radiation in the Pacific sector of Arctic Ocean during 1982–2009. Journal of Geophysical Research: Oceans, 121(8): 5470–5486, doi: 10.1002/2016JC011831
    Lei Ruibo, Tian-Kunze X, Li Bingrui, et al. 2017. Characterization of summer Arctic sea ice morphology in the 135°–175°W sector using multi-scale methods. Cold Regions Science and Technology, 133: 108–120, doi: 10.1016/j.coldregions.2016.10.009
    Liang Shunlin. 2001. Narrowband to broadband conversions of land surface albedo I: Algorithms. Remote Sensing of Environment, 76(2): 213–238, doi: 10.1016/S0034-4257(00)00205-4
    Liang Yu, Bi Haibo, Lei Ruibo, et al. 2023. Atmospheric latent energy transport pathways into the arctic and their connections to sea ice loss during winter over the observational period. Journal of Climate, 36(19): 6695–6712, doi: 10.1175/JCLI-D-22-0789.1
    Light B, Eicken H, Maykut G A, et al. 1998. The effect of included participates on the spectral albedo of sea ice. Journal of Geophysical Research: Oceans, 103(C12): 27739–27752, doi: 10.1029/98JC02587
    Light B, Smith M M, Perovich D K, et al. 2022. Arctic sea ice albedo: Spectral composition, spatial heterogeneity, and temporal evolution observed during the MOSAiC drift. Elementa: Science of the Anthropocene, 10(1): 000103, doi: 10.1525/elementa.2021.000103
    Liu Jiping, Song Mirong, Horton R M, et al. 2015. Revisiting the potential of melt pond fraction as a predictor for the seasonal Arctic sea ice extent minimum. Environmental Research Letters, 10(5): 054017, doi: 10.1088/1748-9326/10/5/054017
    Markus T, Cavalieri D J, Tschudi M A, et al. 2003. Comparison of aerial video and Landsat 7 data over ponded sea ice. Remote Sensing of Environment, 86(4): 458–469, doi: 10.1016/S0034-4257(03)00124-X
    McFeeters S K. 1996. The use of the normalized difference water index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17(7): 1425–1432, doi: 10.1080/01431169608948714
    Nomura D, Nishioka J, Granskog M A, et al. 2010. Nutrient distributions associated with snow and sediment-laden layers in sea ice of the southern Sea of Okhotsk. Marine Chemistry, 119(1–4): 1–8, doi: 10.1016/j.marchem.2009.11.005
    Perovich D K, Grenfell T C, Light B, et al. 2002. Seasonal evolution of the albedo of multiyear Arctic sea ice. Journal of Geophysical Research: Oceans, 107(C10): SHE 20-1-SHE 20-13
    Pfirman S L, Eicken H, Bauch D, et al. 1995. The potential transport of pollutants by Arctic sea ice. Science of the Total Environment, 159(2–3): 129–146, doi: 10.1016/0048-9697(95)04174-Y
    Rösel A, Kaleschke L, Birnbaum G. 2012. Melt ponds on Arctic sea ice determined from MODIS satellite data using an artificial neural network. The Cryosphere, 6(2): 431–446, doi: 10.5194/tc-6-431-2012
    Simpkins G. 2020. Sediment-laden sea ice. Nature Reviews Earth & Environment, 1(1): 9
    Stierle A P, Eicken H. 2002. Sediment inclusions in Alaskan coastal sea ice: Spatial distribution, interannual variability, and entrainment requirements. Arctic, Antarctic, and Alpine Research, 34(4): 465–476
    Sumata H, de Steur L, Divine D V, et al. 2023. Regime shift in Arctic Ocean sea ice thickness. Nature, 615(7952): 443–449, doi: 10.1038/s41586-022-05686-x
    Syvitski J P M. 2002. Sediment discharge variability in Arctic rivers: implications for a warmer future. Polar Research, 21(2): 323–330, doi: 10.3402/polar.v21i2.6494
    Tucker W B, Gow A J, Meese D A, et al. 1999. Physical characteristics of summer sea ice across the Arctic Ocean. Journal of Geophysical Research: Oceans, 104(C1): 1489–1504, doi: 10.1029/98JC02607
    Vermote E. 2021. MODIS/terra surface reflectance 8-day L3 global 500m SIN grid V061. NASA EOSDIS Land Processes Distributed Active Archive Center
    Waga H, Eicken H, Light B, et al. 2022. A neural network-based method for satellite-based mapping of sediment-laden sea ice in the Arctic. Remote Sensing of Environment, 270: 112861, doi: 10.1016/j.rse.2021.112861
    Webster M A, Rigor I G, Perovich D K, et al. 2015. Seasonal evolution of melt ponds on Arctic sea ice. Journal of Geophysical Research: Oceans, 120(9): 5968–5982, doi: 10.1002/2015JC011030
    Wegner C, Wittbrodt K, Hölemann J A, et al. 2017. Sediment entrainment into sea ice and transport in the transpolar drift: A case study from the Laptev Sea in winter 2011/2012. Continental Shelf Research, 141: 1–10, doi: 10.1016/j.csr.2017.04.010
    Yi Shuang, Saemian P, Sneeuw N, et al. 2023. Estimating runoff from pan-Arctic drainage basins for 2002–2019 using an improved runoff-storage relationship. Remote Sensing of Environment, 298: 113816, doi: 10.1016/j.rse.2023.113816
    Zhang Fanyi, Pang Xiaoping, Lei Ruibo, et al. 2022. Arctic sea ice motion change and response to atmospheric forcing between 1979 and 2019. International Journal of Climatology, 42(3): 1854–1876, doi: 10.1002/joc.7340
    Zhang Na, Wu Yongheng, Zhang Qinghe. 2015. Detection of sea ice in sediment laden water using MODIS in the Bohai Sea: a CART decision tree method. International Journal of Remote Sensing, 36(6): 1661–1674, doi: 10.1080/01431161.2015.1015658
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(12)  / Tables(2)

    Article Metrics

    Article views (363) PDF downloads(37) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return