World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Comparison of Profile Total Ozone from Sbuv (V8.6) with Gome-type and Ground-based Total Ozone for a 16-year Period (1996 to 2011) : Volume 7, Issue 6 (11/06/2014)

By Chiou, E. W.

Click here to view

Book Id: WPLBN0003999370
Format Type: PDF Article :
File Size: Pages 12
Reproduction Date: 2015

Title: Comparison of Profile Total Ozone from Sbuv (V8.6) with Gome-type and Ground-based Total Ozone for a 16-year Period (1996 to 2011) : Volume 7, Issue 6 (11/06/2014)  
Author: Chiou, E. W.
Volume: Vol. 7, Issue 6
Language: English
Subject: Science, Atmospheric, Measurement
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Fioletov, V. E., Mcpeters, R. D., Loyola, D. G., Frith, S. M., Roozendael, M. V., Coldewey-Egbers, M.,...Spurr, R. (2014). Comparison of Profile Total Ozone from Sbuv (V8.6) with Gome-type and Ground-based Total Ozone for a 16-year Period (1996 to 2011) : Volume 7, Issue 6 (11/06/2014). Retrieved from http://www.ebooklibrary.org/


Description
Description: ADNET Systems, Inc., Lanham, MD 20706, USA. This paper describes the comparison of the variability of total column ozone inferred from the three independent multi-year data records, namely, (i) Solar Backscatter Ultraviolet Instrument (SBUV) v8.6 profile total ozone, (ii) GTO (GOME-type total ozone), and (iii) ground-based total ozone data records covering the 16-year overlap period (March 1996 through June 2011). Analyses are conducted based on area-weighted zonal means for 0–30° S, 0–30° N, 50–30° S, and 30–60° N.

It has been found that, on average, the differences in monthly zonal mean total ozone vary between −0.3 and 0.8 % and are well within 1%.

For GTO minus SBUV, the standard deviations and ranges (maximum minus minimum) of the differences regarding monthly zonal mean total ozone vary between 0.6–0.7% and 2.8–3.8% respectively, depending on the latitude band. The corresponding standard deviations and ranges regarding the differences in monthly zonal mean anomalies show values between 0.4–0.6% and 2.2–3.5%. The standard deviations and ranges of the differences ground-based minus SBUV regarding both monthly zonal means and anomalies are larger by a factor of 1.4–2.9 in comparison to GTO minus SBUV.

The ground-based zonal means demonstrate larger scattering of monthly data compared to satellite-based records. The differences in the scattering are significantly reduced if seasonal zonal averages are analyzed.

The trends of the differences GTO minus SBUV and ground-based minus SBUV are found to vary between −0.04 and 0.1% yr−1 (−0.1 and 0.3 DU yr−1). These negligibly small trends have provided strong evidence that there are no significant time-dependent differences among these multi-year total ozone data records.

Analyses of the annual deviations from pre-1980 level indicate that, for the 15-year period of 1996 to 2010, all three data records show a gradual increase at 30–60° N from −5% in 1996 to −2% in 2010. In contrast, at 50–30° S and 30° S–30° N there has been a levelling off in the 15 years after 1996. The deviations inferred from GTO and SBUV show agreement within 1%, but a slight increase has been found in the differences during the period 1996–2010.


Summary
Comparison of profile total ozone from SBUV (v8.6) with GOME-type and ground-based total ozone for a 16-year period (1996 to 2011)

Excerpt
Bhartia, P. K., McPeters, R. D., Flynn, L. E., Taylor, S., Kramarova, N. A., Frith, S., Fisher, B., and DeLand, M.: Solar Backscatter UV (SBUV) total ozone and profile algorithm, Atmos. Meas. Tech., 6, 2533–2548, doi:10.5194/amt-6-2533-2013, 2013.; Bojkov, R. D. and Fioletov, V. E.: Estimating the global ozone characteristics during the last 30 years, J. Geophys. Res., 100, 16537–16551, 1995.; Bojkov, R. D. and Fioletov, V. E.: Total ozone variations in the tropical belt: An application for quality of ground-based measurements, Meteorol. Atmos. Phys., 58, 223–240, 1996.; Bowman, K. P.: Global patterns of quasi-biennial oscillation in total ozone, J. Geophys. Res., 99, 3328–3343, 1989.; Dameris, M. and Loyola, D.: Recent and future evolution of the stratospheric ozone layer, in: Atmospheric Physics: Background – Methods – Trends, edited by: Schumann, U., Springer, 747–762, 2012.; McPeters, R. D., Bhartia, P. K., Hafner, D., Labow, G. J., and Flynn, L.: The version 8.6 SBUV ozone data record: An overview, J. Geophys. Res., 118, 8032–8039, 2013.; DeLand, M. T., Taylor, S. L., Huang, L. K., and Fisher, B. L.: Calibration of the SBUV version 8.6 ozone data product, Atmos. Meas. Tech., 5, 2951–2967, doi:10.5194/amt-5-2951-2012, 2012.; Fioletov, V. E., Bodecker, G. E., Miller, A. J., McPeters, R. D., and Stolarski, R.: Global and zonal total ozone variations estimated from ground-based and satellite measurements: 1964–2000, J. Geophys. Res., 107, 4647, doi:10.1029/2001JDO001350, 2002.; Frith, S. M., Kramarova, N. A., Stolarski, R. S., McPeters, R. D., Bhartia, P. K., and Labow, G. J.: Recent changes in column ozone based on the SBUV version 8.6 merged ozone dataset, J. Geophys. Res., under review, 2014.; Hamilton, K.: Interhemispheric asymmetry and annual synchronization of the ozone quasi-biennial oscillations, J. Atmos. Sci., 46, 1019–1025, 1989.; Koukouli, M. E., Balis, D. S., Loyola, D., Valks, P., Zimmer, W., Hao, N., Lambert, J.-C., Van Roozendael, M., Lerot, C., and Spurr, R. J. D.: Geophysical validation and long-term consistency between GOME-2/MetOp-A total ozone column and measurements from the sensors GOME/ERS-2, SCIAMACHY/ENVISAT and OMI/Aura, Atmos. Meas. Tech., 5, 2169–2181, doi:10.5194/amt-5-2169-2012, 2012.; Lerot, C., Van Roozendael, M., van Geffen, J., van Gent, J., Fayt, C., Spurr, R., Lichtenberg, G., and von Bargen, A.: Six years of total ozone column measurements from SCIAMACHY nadir observations, Atmos. Meas. Tech., 2, 87–98, doi:10.5194/amt-2-87-2009, 2009.; Lerot, C., Van Roozendael, M., Lambert, J. C., Granville, J., van Gent, J., Loyola, D., and Spurr, R. J. D.: The GODFIT algorithm: a direct fitting approach to improve the accuracy of total ozone measurements from GOME, Int. J. Remote Sens., 31, 543–550, 2010.; Lerot, C., Van Roozendael, M., Spurr, R., Coldewey-Egbers, M., Kochenova, S., van Gent, J., Koukouli, M., Balis, D., Lambert, J.-C., Granville, J., and Zehner, C.: Homogenized total ozone data records from the European sensors GOME/ERS-2,1SCIAMACHY/Envisat and GOME-2/MetOp-A, J. Geophys. Res., 119, D07302, doi:10.1002/2013JD020831, 2014.; Loyola, D. and Coldewey-Egbers, M.: Multi-sensor data merging with stacked neural networks for the creation of satellite long-term climate data records, EURASIP J. Adv. Sig. Proc., 1 doi:10.1186/1687-6180-2012-91, 2012.; Loyola, D., Coldeway-Egbers, M., Dameris, M., Garny, H., Stenke, A., Van Roozendaet, M., Lerot, C., Balis, D., and Koukouli, M.: Global long-term monitoring of the ozone layer–a prerequisite for pre

 

Click To View

Additional Books


  • An Improved Cirrus Detection Algorithm M... (by )
  • Retrieval of Desert Dust Aerosol Vertica... (by )
  • Sky Cover from Mfrsr Observations : Volu... (by )
  • Consistency Between Fourier Transform an... (by )
  • A Method for Cloud Detection and Opacity... (by )
  • Improving Retrieval Quality for Airborne... (by )
  • Determination of Alkyl Amines in Atmosph... (by )
  • Infrared Limb Emission Measurements of A... (by )
  • Aircraft Measurements of Carbon Dioxide ... (by )
  • An Investigation of Atmospheric Temperat... (by )
  • Block-based Cloud Classification with St... (by )
  • Known and Unknown Unknowns: the Applicat... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from World eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.