Zachary Labe

Zack

  • About
    • About Me
    • Education and Outreach
    • News and Media
    • My Pictures
    • Curriculum Vitae
  • Research Areas
    • Arctic Sea Ice and Extreme Weather Events
      • Arctic Sea Ice Figures
        • Arctic Sea Ice Extent/Conc
        • Antarctic Sea Ice Extent/Conc
        • Arctic Sea Ice Volume/Thickness
        • Arctic Temperatures
    • Early Spring Onset
    • Effects from Sea Ice Thickness Loss
    • QBO and Arctic Sea Ice
    • Sea Ice Variability
    • Publications
  • Twitter
  • UC Irvine ESS
  • About
    • About Me
    • Education and Outreach
    • News and Media
    • My Pictures
    • Curriculum Vitae
  • Research Areas
    • Arctic Sea Ice and Extreme Weather Events
      • Arctic Sea Ice Figures
        • Arctic Sea Ice Extent/Conc
        • Antarctic Sea Ice Extent/Conc
        • Arctic Sea Ice Volume/Thickness
        • Arctic Temperatures
    • Early Spring Onset
    • Effects from Sea Ice Thickness Loss
    • QBO and Arctic Sea Ice
    • Sea Ice Variability
    • Publications
  • Twitter
  • UC Irvine ESS

Arctic Sea Ice Figures

Under Construction

Animation of changes in average September sea ice extent from 1979 through 2019 – with noteworthy natural variability and a long-term decline. Data is freely available from the National Snow and Ice Data Center (NSIDC) at https://nsidc.org/data/seaice_index/.

Changes in annual mean surface air temperature anomalies (Berkeley Earth Surface Temperature; BEST), annual mean Arctic sea ice extent (NSIDC, Sea Ice Index v3), and annual mean sea surface temperature anomalies (NOAA Optimum Interpolation Sea Surface Temperature V2; OISSTv2) over the satellite era and within the Arctic (>67N latitude). BEST is available from 1850 to 2019 at http://berkeleyearth.org/data/. OISSTv2 is available from 1982 to 2019 at https://www.esrl.noaa.gov/psd/data/gridded/data.noaa.oisst.v2.html. Updated 1/28/2020.

Changes in annual mean Arctic sea ice extent (NSIDC, Sea Ice Index v3) and air temperature anomalies (Berkeley Earth Surface Temperature; BEST) over the satellite era. BEST is available from 1850 to 2019 at http://berkeleyearth.org/data/. Updated 1/21/2020.

Changes in annual mean Arctic sea ice extent (NSIDC, Sea Ice Index v3) and volume (PIOMAS v2, Zhang and Rothrock, 2003) over the satellite era. Updated 1/28/2020.

Change in land ice mass since 2002 (Right: Greenland, Left: Antarctica). Data is measured by NASA’s Gravity Recovery and Climate Experiment (GRACE) satellites. Additional information can be found at https://climate.nasa.gov/vital-signs/land-ice/. Updated 4/24/2018.

Reconstructed late-summer (August) Arctic sea ice extent during the last 1450 years. Sea ice extent data have been smoothed using a 40-year running mean (light blue). The shading shows the 95% confidence interval (dark blue). Smoothed observational data are compared using a dashed line (red). This figure is reproduced from Figure 3a in Kinnard et al. 2011 (Nature: https://www.nature.com/articles/nature10581).

A look at September Arctic sea ice concentration over the last 100 years (through 2017) using the latest NSIDC SIBT gridded 1850- reconstruction from Walsh et al. [2016]. The discontinuity between 1978-1979 is the transition to the passive microwave satellite era.

Daily Arctic sea ice extents (NSIDC, DMSP SSM/I-SSMIS) from 1979 through 2019. Missing data shown in black.

Daily Arctic sea ice extent anomalies (NSIDC, DMSP SSM/I-SSMIS) from 1979 through 2019. Missing data shown in black. Z scores are calculated from an averaged 1979-2019 baseline.

Trends in sea ice thickness/volume are another important indicator of Arctic climate change. While sea ice thickness observations are sparse, here we utilize the ocean and sea ice model, PIOMAS (Zhang and Rothrock, 2003), to visualize January sea ice thickness from 1979 to 2020. Sea ice less than 1.5 meters is masked out (black) to emphasize the loss of thicker, older ice. Updated through January 2020.

Current year’s sea ice extent anomalies for the Arctic and Antarctic (NSIDC, DMSP SSM/I-SSMIS F-18). Departure from average (anomaly) considers a 1981-2010 climatology (updated 2/3/2020).

Latest PIOMAS (model; Zhang and Rothrock, 2003) sea ice volume (SIV) across the Arctic (updated for January 2020).

Trends in sea ice thickness are another important indicator of Arctic climate change. While sea ice thickness observations are sparse, here we utilize the ocean and sea ice model, PIOMAS (Zhang and Rothrock, 2003), to visualize mean sea ice thickness from 1979 to 2020. Updated through January 2020.


Resources:

More real-time Arctic products are available:

  • Arctic Sea Ice Extent and Concentration

  • Antarctic Sea Ice Extent and Concentration

  • Arctic Sea Ice Volume and Thickness

  • Arctic Temperatures


References

[4] Thoman, R.L., U. Bhatt, P. Bieniek, B. Brettschneider, M. Brubaker, S. Danielson, Z.M. Labe, R. Lader, W. Meier, G. Sheffield, and J. Walsh (2019): The record low Bering Sea ice extent in 2018: Context, impacts and an assessment of the role of anthropogenic climate change [in “Explaining Extreme Events of 2018 from a Climate Perspective”]. Bull. Amer. Meteor. Soc, DOI:10.1175/BAMS-D-19-0175.1
[HTML][PDF][BibTeX]
[Press Release]

[3] Labe, Z.M., Y. Peings, and G. Magnusdottir (2019). The effect of QBO phase on the atmospheric response to projected Arctic sea ice loss in early winter, Geophysical Research Letters, DOI:10.1029/2019GL083095
[HTML][BibTeX]
[Plain Language Summary]

[2] Labe, Z.M., Y. Peings, and G. Magnusdottir (2018), Contributions of ice thickness to the atmospheric response from projected Arctic sea ice loss, Geophysical Research Letters, DOI:10.1029/2018GL078158
[HTML][BibTeX]
[Plain Language Summary][Arctic Today]

[1] Labe, Z.M., G. Magnusdottir, and H.S. Stern (2018), Variability of Arctic sea ice thickness using PIOMAS and the CESM Large Ensemble, Journal of Climate, DOI:10.1175/JCLI-D-17-0436.1
[HTML][PDF][BibTeX]
[Plain Language Summary]


All of the Python 3.7 code used to generate these figures are available from my GitHub account. Most scripts use data sets that are generated via ftp retrieval.

*These figures may be freely distributed (with credit).

Zachary Michael Labe

Ph.D. Candidate, Department of Earth System Science
The University of California, Irvine
ResearchGate | CV | Google Scholar

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