Products » GOME type Total Ozone - Essential Climate Variable (GTO-ECV)






The GOME type Total Ozone - Essential Climate Variable (GTO-ECV) is a monthly-mean total ozone fundamental climate data record generated by merging satellite datasets from:
• GOME/ERS-2 (since June 1995)
• SCIAMACHY/ENVISAT (since July 2003)
• GOME-2/MetOp-A (since January 2007)



Algorithm

The main algorithm steps for the generation of GTO-ECV are:
• The operational GOME, SCIAMACHY and GOME-2 ozone total column products, generated using the algorithm GDP (GOME Data Processor) version 4.x , are first averaged to a 1x1 gridded monthly-mean global dataset. The average is weighted by the area covered by the satellite measurements on the grid and by the number of daily values
• GOME is used as transfer standard. SCIAMACHY and GOME-2 are adjusted using latitudinal and time correction factors computed with data from the satellite overlapping periods.
• Finally the original GOME data and the adjusted SCIAMACHY and GOME-2 data are averaged to generate the GTO-ECV dataset.

A description of the GDP 4.x algorithm and validation is given in the peer-review papers listed in the GOME documentation and GOME-2 documentation pages. More details on the merging methodology as well as comparison with ground base measurements and model data can be found in [D. Loyola et al. (2009)].

For information about the generation of the GTO-ECV please contact Melanie Coldewey-Egbers, DLR-IMF. E-Mail: Melanie.Coldewey-Egbers [at] dlr.de


Scientific Papers


Acknowledgments

The initial version of GTO-ECV (version 0) was developed by scientists from DLR, BIRA, AUTH and RTS and it was funded by national contributions.
GTO-ECV will be further developed in the framework of the ESA Ozone CCI project.

For further information please contact:

Diego Loyola, DLR-IMF
E-Mail: Diego.Loyola [at] dlr.de

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