Paper
2 November 1993 Variations in the Dobson total ozone data from Reykjavik
Gudmundur Bjarnason, Ornolfur E. Rognvaldsson, Thorsteinn I. Sigfusson
Author Affiliations +
Proceedings Volume 2047, Atmospheric Ozone; (1993) https://doi.org/10.1117/12.163495
Event: High Latitude Optics, 1993, Tromso, Norway
Abstract
The Dobson station situated at Reykjavik (64 degree(s)08'N, 21 degree(s)54'W), Iceland is one of the few sites where a continuous long term monitoring of total ozone has been performed since the establishment of the Dobson network in 1957. A thorough analysis of the data has been performed with the aid of a statistical model which was developed to reproduce the data and quantify the role of different physical parameters in determining ozone variations. The data set for the entire period has been critically examined for possible inconsistencies. Trend analysis shows a statistically meaningful decline of about 6.5% over the last 14 years during the summer. While no significant wintertime ozone decline is detected since 1977 the annual amount declines at a rate of 0.03 +/- 0.11% per year which is about three times the rate over the earlier twenty years. Signatures of the 11 year solar cycle are exceedingly large during the early months of the year and in the westerly phase of the QBO. Comparison with the TOMS data shows an excellent agreement at times of satellite overpass. Strong responses to major solar proton events and atmospheric nuclear bomb testings appear in the data. On shorter time scales the variations are largely determined by tropospheric synoptic scale disturbances.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gudmundur Bjarnason, Ornolfur E. Rognvaldsson, and Thorsteinn I. Sigfusson "Variations in the Dobson total ozone data from Reykjavik", Proc. SPIE 2047, Atmospheric Ozone, (2 November 1993); https://doi.org/10.1117/12.163495
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KEYWORDS
Ozone

Data modeling

Statistical analysis

Atmospheric modeling

Calibration

Autoregressive models

Error analysis

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