Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data

Zhongnan Yan Xiaoping Pang Qing Ji Yizhuo Chen Chongxin Luo Pei Fan Zeyu Liang

Zhongnan Yan, Xiaoping Pang, Qing Ji, Yizhuo Chen, Chongxin Luo, Pei Fan, Zeyu Liang. Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data[J]. Acta Oceanologica Sinica, 2023, 42(12): 105-117. doi: 10.1007/s13131-023-2179-5
Citation: Zhongnan Yan, Xiaoping Pang, Qing Ji, Yizhuo Chen, Chongxin Luo, Pei Fan, Zeyu Liang. Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data[J]. Acta Oceanologica Sinica, 2023, 42(12): 105-117. doi: 10.1007/s13131-023-2179-5

doi: 10.1007/s13131-023-2179-5

Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data

Funds: The National Natural Science Foundation of China under contract No. 42076235; the Fundamental Research Funds for the Central Universities under contract No. 2042022kf0018.
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  • Figure  1.  The distributions of ship routes during CHINARE-35 (blue line), the ship-based observational snow depth (red dots), Alfred Wegener Institute (AWI) snow buoy (orange line) and Operation IceBridge (OIB) airborne measurements (green line) (a) and snow depth estimation involving photogrammetric images (b). The long red line in b denotes the reference ball diameter, the short red lines denote snow depth on sea ice.

    Figure  2.  Daily TB of FY-3D MWRI at different frequency time bands in open water from 2018 to 2020.

    Figure  3.  The scatter diagram between ship-based observational snow depth and combined gradient radio derived from FY-3D MWRI data.

    Figure  4.  Comparisons of ship-based observational snow depth to the snow depth estimates based on the proposed model (a), Markus98 model (b) and Comiso03 model (c), and comparisons of AWI snow buoy data to the snow depth estimates based on the proposed model (d), Markus98 model (e) and Comiso03 model (f). The color bar represents the density of the points.

    Figure  5.  The spatial distributions of averaged snow depth on Antarctic sea ice in different seasons (a–d) with its uncertainty (e–h) from 2018 to 2020. Spring: September–November, Summer: December–February, Autumn: March–May and Winter: June–August.

    Figure  6.  Time series of snow depth with its uncertainty in Antarctic Ocean (a), Weddell Sea: 60°W–20°E (b), Indian Ocean: 20°–90°E (c), Pacific Ocean: 90°–160°E (d), Ross Sea: 160°E–130°W (e) and Bellingshausen-Amundsen seas: 130°–60°W (f) from 2018 to 2020.

    Figure  7.  Comparison of FY-3D MWRI snow depth, NSIDC-AMSR2 SD and NTPDC-AMSR2 SD in the Antarctic and five seas from 2018 to 2019 for the statistic index of mean difference (a), mean absolute difference (b), standard deviation (c), and correlation coefficient (d).

    Figure  8.  The spatial distributions of monthly snow depth (January to June 2020) derived from FY-3D MWRI (a) and ICESat-2 (b), with the probability density functions (PDFs) (c) from FY-3D MWRI (red line) and ICESat-2 (blue line) in the common area.

    Figure  9.  The spatial distributions of monthly snow depth (July to December 2020) derived from FY-3D MWRI (a) and ICESat-2 (b), with the probability density functions (PDFs) (c) from FY-3D MWRI (red line) and ICESat-2 (blue line) in the common area.

    Figure  10.  Time series of FY-3D MWRI snow depth and ICESat-2 snow depth from January to December 2020 (a), and the difference between FY-3D MWRI snow depth and ICESat-2 snow depth from January to December 2020 (b).

    Table  1.   Summary of snow depth from this study, NSIDC and NTPDC

    SourceSensorPeriodSpatial resolution/kmModeling bands
    This studyMWRI2018–202012.510.65 GHz, 18.7 GHz, 36.5 GHz
    NSIDCAMSR22012 to now12.518.7 GHz, 36.5 GHz
    NTPDCSSMIS, AMSR-E, AMSR22002–202025.06.9 GHz (19.35 GHz), 36.5 GHz
    下载: 导出CSV

    Table  2.   The correlation coefficient and RMSD between the ship-based observational snow depth and different GRs derived from FY-3D MWRI

    GRCorrelation coefficientRMSD/cmGRCorrelation coefficientRMSD/cm
    GR(18V, 10V)–0.669.95GR(18H, 10H)–0.6210.43
    GR(23V, 10V)–0.6310.34GR(23H, 10H)–0.5710.96
    GR(36V, 10V)–0.729.06GR(36H, 10H)–0.699.65
    GR(23V, 18V)–0.4911.60GR(23H, 18H)–0.4112.14
    GR(36V, 18V)–0.738.95GR(36H, 18H)–0.709.54
    GR(36V, 23V)–0.709.50GR(36H, 23H)–0.6010.62
    (GR(36V, 10V) + GR(36V, 18V))/2–0.738.91
    下载: 导出CSV

    Table  3.   Differences between FY-3D MWRI snow depth, NSIDC-AMSR2 SD and NTPDC-AMSR2 SD in the Antarctic and five seas from 2018 to 2019

    RegionDataset comparisonBias/cmMAD/cmSTD/cmCorrelation coefficient
    Antarcticthis study vs. NSIDC4.275.586.420.83
    this study vs. NTPDC–9.8610.355.680.84
    Weddell Seathis study vs. NSIDC3.285.066.030.90
    this study vs. NTPDC–9.8410.265.340.87
    Indian Oceanthis study vs. NSIDC5.926.365.790.52
    this study vs. NTPDC–9.219.674.970.70
    Pacific Oceanthis study vs. NSIDC5.836.777.640.54
    this study vs NTPDC–10.0510.816.810.74
    Ross Seathis study vs. NSIDC4.415.295.860.80
    this study vs. NTPDC–9.8110.255.380.80
    Bellingshausen-Amundsen seasthis study vs. NSIDC3.245.517.460.82
    this study vs. NTPDC–10.6911.306.900.83
    下载: 导出CSV

    Table  4.   The comparisons between the OIB snow depth and FY-3D MWRI snow depth, NSIDC-AMSR2 SD, NTPDC-AMSR2 SD

    Regionsnow depth datasetPixel numberBias/cmMAD/cmRMSD/cmCorrelation coefficient
    Allthis study431–4.1711.5215.100.46
    NSIDC431–3.5811.7915.700.50
    NTPDC4316.1413.2216.930.45
    Weddell Seathis study279–4.768.2410.780.65
    NSIDC279–4.618.0210.820.66
    NTPDC2794.619.3910.900.63
    Bellingshausen-Amundsen Seathis study8112.4214.4917.780.26
    NSIDC8115.2316.7320.060.08
    NTPDC8125.7327.2230.300.14
    East Antarcticthis study71–20.7821.0523.810.27
    NSIDC71–20.9820.9824.020.38
    NTPDC71–10.1812.2915.020.39
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-10-17
  • 录用日期:  2023-02-28
  • 网络出版日期:  2023-06-06
  • 刊出日期:  2023-12-01

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