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Abstract The forecast potential of springtime ozone on April surface temperatures at particular locations in the Northern Hemisphere has been previously reported. Evidence suggests that early springtime Arctic stratospheric ozone acts as a proxy for extreme events in the winter polar vortex. Here, using a state‐of‐the‐art chemistry‐climate model, reanalysis and observations, we extend the forecast potential of ozone on surface temperatures to aspects of the Northern Hemisphere cryosphere. Sea ice fraction and sea ice extent differences between years of March high and low Arctic stratospheric ozone extremes show excellent agreement between an ensemble of chemistry‐climate model simulations and observations, with differences occurring not just in April but extending through to the following winter season in some locations. Large snow depth differences are also obtained in regional locations in Russia and along the southeast coast of Alaska. These differences remain elevated until early summer, when snow cover diminishes. Using a conditional empirical model in a leave‐three‐out cross validation method, March total column ozone is able to accurately predict the sign of the observed sea ice extent and snow depth anomalies over 70% of the time during an ozone extreme year, especially in the region of the Bering strait and the Greenland Sea, which could be useful for shipping routes and for testing climate models.
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Comment on “Virtues and limitations of Pittsburgh green for ozone detection” by C. C. Beltrán, E. A. Palmer, B. R. Buckley and F. Iza, Chem. Commun., 2015, 51 , 1579
We previously developed Pittsburgh Green homoallyl ether to quantify trace ozone. Independently, problems were reported when the method was used for excess ozone. Here, we discuss the origin of the reported problems and demonstrate that when this method is used according to our previous report, no problems occur.
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- Award ID(s):
- 1506942
- PAR ID:
- 10283983
- Date Published:
- Journal Name:
- Chemical Communications
- Volume:
- 52
- Issue:
- 19
- ISSN:
- 1359-7345
- Page Range / eLocation ID:
- 3847 to 3849
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1039/c5cc08289g
