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<p>This study presents the retrieval algorithm, cross-validation and analysis of sea ice extent (SIE) products in the Arctic region derived using daily datasets from scatterometer (SCAT-3) onboard the EOS-06 satellite. The daily variations of SIE have been analyzed with the air temperature (AT) and sea surface temperature (SST) measurements for different seas of the Arctic during the year 2023. Analysis for six selected marginal seas shows the highest SIE for the East Siberian Sea, whereas the least for the Barents Sea with SIE for Beaufort, Kara, Laptev and Chukchi seas vary in between in decreasing order, respectively. The maximum and minimum temperature drivers (AT and SST) occurred in August and March month, respectively, while SIE hits the lowest in September and the highest in March. Among the Arctic marginal seas, observations show the highest AT and SST for the Barents Sea whereas the lowest for the Laptev Sea. Also, SIE shows a negative correlation with SST for all six seas. The coefficient of correlation of SIE with AT varies significantly, with the Chukchi Sea showing the lowest negative values. Whereas, the correlation coefficients of SIE with SST in the Barents, Beaufort, Chukchi, East Siberian, Kara, and Laptev Seas are highly negative. The summer sea ice melt duration ranges from 30 to 60 days, with the shortest duration in the Barents Sea (34 days) and the longest in the East Siberian Sea (53 days). Spatio-temporal characteristics and trends in AT, SST, and SIE across the Arctic provides valuable insights into environmental changes, especially concerning Arctic amplification. Incorporating additional factors such as wind and ocean currents in future research will enhance the understanding of the complexities of Arctic environmental dynamics and their broader impacts.</p>

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Observing and Analyzing E0S-06 Derived Arctic Sea Ice Extent and the Associated Melt Drivers

  • 期刊论文

  • 发表日期：

    2025年1月13日

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  • Dency V. Panicker,
  • Naveen Tripathi,
  • Madhukar Srigyan,
  • Bhasha H. Vachharajan,
  • Sushil Kumar Singh,
  • Sandip R. Oza

摘要

This study presents the retrieval algorithm, cross-validation and analysis of sea ice extent (SIE) products in the Arctic region derived using daily datasets from scatterometer (SCAT-3) onboard the EOS-06 satellite. The daily variations of SIE have been analyzed with the air temperature (AT) and sea surface temperature (SST) measurements for different seas of the Arctic during the year 2023. Analysis for six selected marginal seas shows the highest SIE for the East Siberian Sea, whereas the least for the Barents Sea with SIE for Beaufort, Kara, Laptev and Chukchi seas vary in between in decreasing order, respectively. The maximum and minimum temperature drivers (AT and SST) occurred in August and March month, respectively, while SIE hits the lowest in September and the highest in March. Among the Arctic marginal seas, observations show the highest AT and SST for the Barents Sea whereas the lowest for the Laptev Sea. Also, SIE shows a negative correlation with SST for all six seas. The coefficient of correlation of SIE with AT varies significantly, with the Chukchi Sea showing the lowest negative values. Whereas, the correlation coefficients of SIE with SST in the Barents, Beaufort, Chukchi, East Siberian, Kara, and Laptev Seas are highly negative. The summer sea ice melt duration ranges from 30 to 60 days, with the shortest duration in the Barents Sea (34 days) and the longest in the East Siberian Sea (53 days). Spatio-temporal characteristics and trends in AT, SST, and SIE across the Arctic provides valuable insights into environmental changes, especially concerning Arctic amplification. Incorporating additional factors such as wind and ocean currents in future research will enhance the understanding of the complexities of Arctic environmental dynamics and their broader impacts.