Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Comparison of Re-calibrated TOMS Total Ozone Data with Dobson Network

Not Accessible

Your library or personal account may give you access

Abstract

Nine years of reprocessed Version 6 total ozone data from the Total Ozone Mapping Spectrometer (TOMS) are compared with selected subsets of the Dobson ground based Network. A small long-term drift of -0.11 ± 0.09 %/yr (95% confidence) is identified in the first nine years of TOMS data relative to Dobson. This small change in bias (amounting to 1% over the nine year period) is of the order of the long-term stability of the calibration of both measurement systems. However, a possible mechanism for the drift is identified. Changes in tropospheric ozone are only partly measured by the backscattered ultraviolet (BUV) method [Klenk et al., 1982]. Based on recent estimates of the change in tropospheric ozone [Bojkov, 1987] and of the BUV sensitivity to changes in tropospheric ozone [Fleig et al., 1989], about half of the observed drift would be attributed to this effect. The reprocessed Version 6 TOMS data set is available through the National Space Science Data Center, GSFC/NASA, Greenbelt Maryland.

© 1990 Optical Society of America

PDF Article
More Like This
Total Ozone Trends using Internally Calibrated TOMS Data

R.S. Stolarski, J.R. Herman, R.D. Hudson, A.J. Krueger, R.D. McPeters, C.G. Wellemeyer, and S.L. Taylor
WA11 Optical Remote Sensing of the Atmosphere (ORS) 1990

Results of Recalibration of Nimbus 7 TOMS Ozone Data Using the Pair Justification Technique

R.D. McPeters, J.R. Herman, R.D. Hudson, R.S. Stolarski, C.G. Wellemeyer, and S.L. Taylor
WA7 Optical Remote Sensing of the Atmosphere (ORS) 1990

Dobson Spectrophotometer 83: A Standard for Ground-based and Satellite Total Ozone Measurements

Walter D. Komhyr and Richard D. McPeters
WA1 Optical Remote Sensing of the Atmosphere (ORS) 1990

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.