Hi! I’m a climate scientist trying to visualize the signal from a lot of noise. My research interests coincide with disentangling patterns of climate change from climate variability using data-driven methods, especially in the Arctic. I also spend a lot of time thinking about improving science communication and accessibility through storytelling with engaging visualizations.
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 March sea ice thickness and volume from 1979 to 2024. Updated for March 2024.Current simulated (PIOMAS; Zhang and Rothrock, 2003) sea ice thickness and anomalies (1981-2010 baseline) updated for March 2024.Simulated (PIOMAS; Zhang and Rothrock, 2003) sea ice thickness anomalies for each March from 2010 to 2024. Note that anomalies are calculated using a recent baseline of 2008-2023, 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 February 2024 to March 2024. Updated 4/3/2024.Current Arctic sea ice thickness derived from weekly sea ice thickness maps based on CryoSat-2/SMOS data fusion (Level 4, Version 2.5/2.6; 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, 2024.Current Arctic sea ice thickness (interpolated and smoothed field) derived from ICESat-2 (L4 Monthly Gridded Sea Ice Thickness, Version 3; Petty et al. 2023) 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 2023. Graphic produced on 1/11/2024.Current simulated (PIOMAS; Zhang and Rothrock, 2003) sea ice thickness for every March from 1979 to 2024. Updated 4/3/2024.Latest PIOMAS (model; Zhang and Rothrock, 2003) sea ice volume (SIV) across the Arctic (updated for March 2024).Latest PIOMAS (Zhang and Rothrock, 2003) simulated sea ice volume (SIV) across the Arctic (updated through March 2024).Latest PIOMAS (Zhang and Rothrock, 2003) simulated sea ice thickness (SIT) across the Arctic (updated through March 2024).Time series showing Arctic sea-ice volume for every February from 1901 to 2010 using PIOMAS-20C and from 1979 to 2024 using PIOMAS-v2.1. Thin dashed lines using a lowess smoothing fit are shown for each ice-ocean reanalysis dataset. Graphic updated 4/9/2024.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 2024. Updated through March 2024.Mean Arctic sea-ice thickness for each month from January 2011 to December 2023 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 itself was updated February 2024.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 March sea ice thickness from 1979 to 2024. Sea ice less than 1.5 meters is masked out (black) to emphasize the loss of thicker, older ice. Updated through March 2024.Daily Arctic sea ice volume anomalies stretching from 1 January 1979 to 31 March 2024 (PIOMAS; Zhang and Rothrock, 2003). Anomalies are calculated from a climatological baseline of 1981-2010 (updated 4/9/2024).Changes in the annual maximum and minimum of daily Arctic sea-ice volume simulated from PIOMAS (Zhang and Rothrock, 2003). Trends are calculated using a linear least squares fit for the white dashed lines between 1979 and 2023. Graphic updated 11/10/2023.Daily Arctic sea ice thickness (PIOMASv2.1; Zhang and Rothrock, 2003) from 1 January 1979 through 31 December 2023.Daily Arctic sea ice thickness anomalies (PIOMASv2.1; Zhang and Rothrock, 2003) from 1 January 1979 through 31 December 2023. 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 2023. Data are standardized using a 1979-2023 baseline.Arctic sea ice volume rankings (1 = lowest, 45 = highest) from the Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS v2.1, Zhang and Rothrock, 2003). Figured updated through December 2023. Graphic is modified from Labe et al. [2018].
[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][BibTeX][Code] [Plain Language Summary]
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). Information about the data can be found on my references page and methods page.
