Total Ozone

Article Index

Validation Summary

The Sentinel-5p TROPOMI L2_O3 total ozone column data are in good overall agreement with correlative ground-based measurements from the GAW and NDACC Brewer and Dobson networks, the PGN Pandora network, and the NDACC ZSL-DOAS/SAOZ network, and with the MetOp-B GOME-2, Aura OMI, and Suomi-NPP OMPS-nadir satellite instruments. Across the networks the mean bias is about +0.5 % (NRTI) and +1.3 % (OFFL). This bias and the standard deviation of the relative difference both comply with mission requirements, that is, a bias lower than 5 % and an uncertainty due to random errors (dispersion) better than ±2.5 %. The instrumental switch to smaller (along-track) ground pixels on the 6th of August 2019 did not affect the agreement with the ground-based reference data. A first analysis of the long-term stability of the RPRO+OFFL record against the ground-based data reveals drifts below the GCOS 2022 Implementation Plan threshold of 3 %\decade at almost all stations with sufficiently well sampled time series.

The comparison of S5P TROPOMI total ozone column data between processors (NRTI versus OFFL) and with other nadir UV satellite data sets (GOME-2B and GOME-2C, OMI, OMPS) shows agreement within 1-2 % at all but the highest latitudes, where retrievals are most difficult because of both low solar zenith angles and strong surface albedo gradients. Differences with GOME-2C do contain a systematic component of -2 %, but ground-based validation suggests the latter to be biased high by such an amount.

Product IDStreamVersionBiasDispersionSpecial features
L2_O3 NRTI

02.04.01
02.05.00
02.06.01

 0.5% 2% Some increase in dispersion in the comparisons to ground-based measurements at SZA > 70°.
OFFL/RPRO

02.04.01
02.05.00
02.06.01

 1.3% 2% Some increase in dispersion in the comparisons to ground-based measurements at SZA > 70°.

 

The graphs below summarize the up-to-date estimates of TROPOMI total O3 data quality obtained from comparisons to ground-based direct-sun and zenith-sky measurements. Shown is the meridian dependence of the median (the circular markers) and spread (±1 sigma, the error bars) of the percent relative difference between S5p and ground-based ozone column data, represented at individual stations from the Antarctic to the Arctic and per measurement type (Brewer, Dobson, Pandora and ZSL-DOAS). The values in the legend correspond to the median and spread of all median (per station) differences. For clarity, sunrise and sunset ZSL-DOAS results are represented separately (offset by -0.5˚ and +0.5˚ in latitude).

A detailed description of the method and a comprehensive discussion of validation results can be found in the Quarterly Validation Report #25: April 2018 - November 2024.

O3 OFFL pole2pole

 

O3 NRTI pole2pole


Validation Method

Sentinel-5p TROPOMI ozone column data are compared to correlative ground-based measurements collected from several monitoring networks contributing to WMO's Global Atmosphere Watch: direct-Sun observations from Brewer and Dobson UV spectrophotometers, and zenith-sky observations from NDACC DOAS UV-Visible spectrometers (ZSL-DOAS). Additionally, comparisons are also performed against Pandora direct-sun measurements from the Pandonia Global Network (PGN). These data are collected from ESA's Validation Data Centre (EVDC).

Co-locations between TROPOMI and direct-Sun measurements are defined as “pixel contains station”, with a maximum time difference of 3 hours. Note that direct-sun measurements obtained through the NDACC and WOUDC data archives are usually daily means of the individual measurements. Pandora measurements are individual observations and consequently usually coincide within a few minutes with the S5P overpass. 

To reduce co-location mismatch errors due to the significant difference in horizontal smoothing between TROPOMI and ZSL-DOAS measurements, TROPOMI ozone column values (from afternoon ground pixels at high resolution) are averaged over the footprint of the larger air mass to which the ground-based twilight zenith-sky measurement is sensitive. For more details about the validation methodology, read Lambert et al. (1997, 1999), Balis et al. (2007), Koukouli et al. (2015), Verhoelst et al. (2015), and Garane et al. (2019).

TROPOMI ozone column data processed with the NRTI and OFFL processors are regularly intercompared.

TROPOMI ozone column data are also compared to alternative retrievals, and to corresponding satellite data from the MetOp-B GOME-2, Aura OMI, and Suomi-NPP OMPS-nadir satellite instruments.

 

References

  • Koukouli, M. E., Lerot, C., Granville, J., Goutail, F., Lambert, J.-C., et al. Evaluating a new homogeneous total ozone climate data record from GOME/ERS-2, SCIAMACHY/Envisat, and GOME-2/MetOp-A J. Geophys. Res. Atmos., Wiley-Blackwell, 2015, 120, 12,296-12,312
  • Garane, K., Koukouli, M.-E., Verhoelst, T., Fioletov, V., Lerot, C., Heue, K.-P., Bais, A., Balis, D., Bazureau, A., Dehn, A., Goutail, F., Granville, J., Griffin, D., Hubert, D., Keppens, A., Lambert, J.-C., Loyola, D., McLinden, C., Pazmino, A., Pommereau, J.-P., Redondas, A., Romahn, F., Valks, P., Van Roozendael, M., Xu, J., Zehner, C., Zerefos, C., and
    Zimmer, W.: TROPOMI/S5ptotal ozone column data: global ground-based validation and consistency with other satellite missions, Atmos. Meas. Tech., https://doi.org/10.5194/amt-12-5263-2019, 2019.
  • Verhoelst, T., Granville, J., Hendrick, F., Köhler, U., Lerot, C., Pommereau, J.-P., Redondas, A., Van Roozendael, M., and Lambert, J.-C.: Metrology of ground-based satellite validation: co-location mismatch and smoothing issues of total ozone comparisons, Atmos. Meas. Tech., 8, 5039-5062, https://doi.org/10.5194/amt-8-5039-2015, 2015. 
  • Balis, D., Lambert, J.-C., Van Roozendael, M., Spurr, R., Loyola, D., et al. Ten years of GOME/ERS2 total ozone data: The new GOME data processor (GDP) version 4: 2. Ground-based validation and comparisons with TOMS V7/V8 J. Geophys. Res., Wiley-Blackwell, 2007, 112, n/a-n/a
  • Lambert, J.-C., M. Van Roozendael, M. De Mazière, P.C. Simon, J.-P. Pommereau, F. Goutail, A. Sarkissian, and J.F. Gleason, Investigation of pole-to-pole performances of spaceborne atmospheric chemistry sensors with the NDSC, Journal of the Atmospheric Sciences, Vol. 56, pp. 176-193, https://doi.org/10.1175/1520-0469(1999)056<0176:IOPTPP>2.0.CO;2 , 1999.
  • Lambert, J.-C., M. Van Roozendael, J. Granville, P. Gerard, P. Peeters, P.C. Simon, H. Claude and J. Staehelin, Comparison of the GOME ozone and NO2 total amounts at mid-latitude with ground-based zenith-sky measurements, in Atmospheric Ozone - 18th Quad. Ozone Symp., L’Aquila, Italy, 1996, R. Bojkov and G. Visconti (Eds.), Vol. I, pp. 301-304, 1997.

 


Validation Data

Sentinel-5P TROPOMI L2_O3 total ozone column data are routinely compared to correlative measurements acquired by instruments contributing to WMO’s Global Atmosphere Watch (GAW):

  • Brewer UV spectrophotometers (Kerr et al., 1981,1988),
  • Dobson UV spectrophotometers (Basher, 1982),
  • PGN Pandora UV spectrophotometers (compared to Dobson spectrometer data by Herman et al., 2015),
  • NDACC Zenith-Scattered-Light (ZSL) DOAS UV-Visible spectrometers (Pommereau and Goutail, 1988, Hendrick et al., 2011).

 

Brewer and Dobson network data are collected either from the World Ozone and UV Data Centre (WOUDC) or from the NDACC Data Host Facility, depending on the best timeliness. ZSL-DOAS network data are collected from the NDACC Data Host Facility, and from the LATMOS SAOZ Real Time (RT) processing facility for near-real-time validation. PGN data are collected from EVDC.

O3 OFFL network

References

  • Basher, R. E., Review of the Dobson spectrophotometer and its accuracy, Rep. 13, WMO Global Ozone Res. and Monit. Proj., Geneva, Dec. [Available at http://www.esrl.noaa.gov/gmd/ozwv/dobson/papers/report13/report13.html], 1982.
  • Hendrick, F., Pommereau, J.-P., Goutail, F., Evans, R. D., Ionov, D., Pazmino, A., Kyrö, E., Held, G., Eriksen, P., Dorokhov, V., Gil, M., and Van Roozendael, M.: NDACC/SAOZ UV-visible total ozone measurements: improved retrieval and comparison with correlative ground-based and satellite observations, Atmos. Chem. Phys., 11, 5975–5995,
    https://doi.org/10.5194/acp-11-5975-2011, 2011.
  • Herman, J., Evans, R., Cede, A., Abuhassan, N., Petropavlovskikh, I., and McConville, G.: Comparison of ozone retrievals from the Pandora spectrometer system and Dobson spectrophotometer in Boulder, Colorado, Atmos. Meas. Tech., 8, 3407–3418, https://doi.org/10.5194/amt-8-3407-2015, 2015.
  • Kerr, J. B., C. T. McElroy, and R. A. Olafson, Measurements of ozone with the Brewer ozone spectrophotometer, in Proceedings of the Quadrennial Ozone Symposium, Boulder, Colorado, edited by J. London, pp. 74–79, Natl. Cent. for Atmos. Res., Boulder, Colorado, 1981.
  • Kerr, J. B., I. A. Asbridge, and W. F. J. Evans, Intercomparison of total ozone measured by the Brewer and Dobson spectrophotometers at Toronto, J. Geophys. Res., 93, 11, 129–11, 140, doi:10.1029/JD093iD09p11129, 1988.
  • Pommereau, J. and Goutail, F.: O3 and NO2 ground-based measurements by visible spectrometry during Arctic winter and spring, Geophys. Res. Lett., 15, 891–894, https://doi.org/10.1029/GL015i008p00891, 1988.

VDAF  Validation  Server

The Routine Operations Validation Service provided by the Sentinel-5p Mission Performance Centre relies on the VDAF Automated Validation Server (VDAF-AVS).  This fully automated data analysis system collects correlative measurements from quality-controlled monitoring networks and compares them to Sentinel-5p data using community endorsed protocols.  VDAF-AVS outputs a suite of traceable quality indicators enabling users to judge the fitness-for-purpose of the Sentinel-5p data.

The figure below illustrates the automated comparison of Sentinel-5p TROPOMI O3 column data (NRTI) with respect to correlative measurements acquired by the SAOZ instrument at Kerguelen Island (Indian Ocean). More O3 column validation results are available at http://mpc-vdaf-server.tropomi.eu/o3-total-column.

 

 

 

The VDAF Automated Validation Server in brief:

 


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Quarterly Validation Report of the Copernicus Sentinel-5 Precursor Operational Data Products #25: April 2018 - November 2024

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