Hi! My name is Zack! I’m a climate scientist looking to find the signal in all the noise. I use data-driven methods to untangle climate change patterns from natural variability, providing clearer insights into climate risks. I also spend a lot of time thinking about how to make science more engaging through storytelling and visualization.
Climate Viz of the Month
July 2026
COMING SOON! 🙂 Map of annual mean surface temperature anomalies but with the global mean removed for July 1997 (left) compared to the same calculation but for July 2026. Anomalies are computed relative to a reference period of 1951-1980. Data is from Berkeley Earth Surface Temperature (http://berkeleyearth.org/data/). Visualization created on 29 August 2026. [Click directly on the image to download or enlarge]
Climate summary for July 2026 — Changes in mean surface air temperature anomalies (GISTEMPv4; 1951-1980 baseline), mean Arctic sea ice extent (NSIDC; Sea Ice Index v4), and mean Arctic sea ice volume (PIOMAS v2.1; Zhang and Rothrock, 2003) over the satellite era. Updated 8/13/2026.
[2] Witt, J.K., Z.M. Labe, A.C. Warden, and B.A. Clegg (2023). Visualizing uncertainty in hurricane forecasts with animated risk trajectories. Weather, Climate, and Society, DOI:10.1175/WCAS-D-21-0173.1 [HTML][BibTeX][Code] [Blog][Plain Language Summary][CNN]
[1] Witt, J.K., Z.M. Labe, and B.A. Clegg (2022). Comparisons of perceptions of risk for visualizations using animated risk trajectories versus cones of uncertainty. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, DOI:10.1177/1071181322661308 [HTML][BibTeX][Code] [Plain Language Summary][CNN]
The views presented here only reflect my own. These figures may be freely distributed (with credit). Information about the data can be found on my references page and methods page.
