Arctic: Sea-Ice Thickness/Volume

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 July sea ice thickness and volume from 1979 to 2022. Updated for July 2022.
Current simulated (PIOMAS; Zhang and Rothrock, 2003) sea ice thickness and anomalies (1981-2010 baseline) updated for July 2022.
Simulated (PIOMAS; Zhang and Rothrock, 2003) sea ice thickness anomalies for each July from 2008 to 2022. Note that anomalies are calculated using a recent baseline of 2007-2021, which is a period of substantial Arctic sea-ice loss.
Current one month change in simulated (PIOMAS; Zhang and Rothrock, 2003) sea ice thickness from June 2022 to July 2022. Updated 8/3/2022.
Current Arctic sea ice thickness derived from weekly sea ice thickness maps based on CryoSat-2/SMOS data fusion (Level 4, Version 2.4; Ricker et al. 2017) and its difference compared to the previous year. This graphic will only be updated during winter months (October-April), which is when satellite estimates of sea ice thickness are available. Updated for April 9-15, 2022.
Current Arctic sea ice thickness derived from ICESat-2 (L4 Monthly Gridded Sea Ice Thickness, Version 1; Petty et al. 2021) and its difference compared to the previous year. This graphic will only be updated during winter months (September-April), which is when satellite estimates of sea ice thickness are available. Updated for April 2021.
Latest PIOMAS (model; Zhang and Rothrock, 2003) sea ice volume (SIV) across the Arctic (updated for July 2022).
Latest PIOMAS (Zhang and Rothrock, 2003) simulated sea ice volume (SIV) across the Arctic (updated through June 2022).
Latest PIOMAS (Zhang and Rothrock, 2003) simulated sea ice thickness (SIT) across the Arctic (updated through June 2022).
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 2021. Updated through July 2022.
Mean Arctic sea-ice thickness for each month from January 2011 to April 2022 from CryoSat-2 (ESA CCI Climate Data Record (CDRv2), ESA CCI Interim Climate Data Record (ICDRv2)). Satellite-derived observations of sea-ice thickness are not available during the melt season. Figure updated July 2022.
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 July sea ice thickness from 1979 to 2021. Sea ice less than 1.5 meters is masked out (black) to emphasize the loss of thicker, older ice. Updated through July 2022.
Daily Arctic sea ice volume anomalies stretching from 1 January 1979 to 30 June 2022 (PIOMAS; Zhang and Rothrock, 2003). Anomalies are calculated from a climatological baseline of 1981-2010 (updated 7/6/2022).
Daily Arctic sea ice thickness (PIOMASv2.1; Zhang and Rothrock, 2003) from 1 January 1979 through 31 December 2021.
Daily Arctic sea ice thickness anomalies (PIOMASv2.1; Zhang and Rothrock, 2003) from 1 January 1979 through 31 December 2021. Anomalies are calculated from an averaged 1981-2010 baseline.
Daily Arctic sea ice thickness anomalies (PIOMASv2.1; Zhang and Rothrock, 2003) from 1 January 1979 through 31 December 2021. Data are standardized using a 1979-2021 baseline.

Refereed/Peer-Reviewed Publications:

[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
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[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
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[Plain Language Summary]


Resources:

More real-time Arctic products are available:

All of the Python 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).