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  1. Zack Labe (zlabe@fediscience.org)'s status on Friday, 29-Sep-2023 00:18:30 UTC Zack Labe Zack Labe

    ⬇️ September brings an end to the melt season in the #Arctic as sea ice reaches its minimum extent by the middle of the month.

    This thread shares an overview of its long-term trends in the atmosphere and ocean. #ArcticAmplification

    In conversation Friday, 29-Sep-2023 00:18:30 UTC from fediscience.org permalink
    • Zack Labe (zlabe@fediscience.org)'s status on Friday, 29-Sep-2023 00:18:28 UTC Zack Labe Zack Labe
      in reply to

      September also observes the largest losses of #Arctic sea ice concentration compared to any other month of the year. And NO increases. The largest declines are in parts of the Chukchi & Beaufort Seas.

      [Sea ice concentration = fraction of ice-cover. More info: https://doi.org/10.1175/BAMS-D-23-0079.1]

      In conversation Friday, 29-Sep-2023 00:18:28 UTC permalink

      Attachments


      1. https://fediscience.org/system/media_attachments/files/111/144/378/383/412/602/original/89387074ad994417.png
      2. The Arctic
        from Sara W. Veasey
        "The Arctic" published on 06 Sep 2023 by American Meteorological Society.
    • Zack Labe (zlabe@fediscience.org)'s status on Friday, 29-Sep-2023 00:18:29 UTC Zack Labe Zack Labe
      in reply to

      Trends in September #Arctic sea ice thickness over approximately the last four decades (yes, that shows thinning everywhere)... 🧊📉

      [Data from PIOMAS. For more information: https://doi.org/10.1175/JCLI-D-17-0436.1]

      In conversation Friday, 29-Sep-2023 00:18:29 UTC permalink

      Attachments


      1. https://fediscience.org/system/media_attachments/files/111/144/376/400/679/019/original/b2419ee82a433634.png
      2. Variability of Arctic Sea Ice Thickness Using PIOMAS and the CESM Large Ensemble
        from Hal Stern
        Abstract Because of limited high-quality satellite and in situ observations, less attention has been given to the trends in Arctic sea ice thickness and therefore sea ice volume than to the trends in sea ice extent. This study evaluates the spatial and temporal variability in Arctic sea ice thickness using the Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS). Additionally, the Community Earth System Model Large Ensemble Project (LENS) is used to quantify the forced response and internal variability in the model. A dipole spatial pattern of sea ice thickness variability is shown in both PIOMAS and LENS with opposite signs of polarity between the East Siberian Sea and near the Fram Strait. As future sea ice thins, this dipole structure of variability is reduced, and the largest interannual variability is found only along the northern Greenland coastline. Under a high-emissions scenario (RCP8.5) projection, average September sea ice thickness falls below 0.5 m by the end of the twenty-first century. However, a regional analysis shows internal variability contributes to an uncertainty of 10 to 20 years for the timing of the first September sea ice thickness less than 0.5 m in the marginal seas.
      Simbionte repeated this.

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