GOME validation using data assimilation

A. J.M. Piters, P. F. Levelt, H. M. Kelder

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A two-dimensional assimilation model is used to derive error characteristics of the GOME total ozone column observations. A method is developed to derive an upper limit on the intrinsic (random) uncertainty in the GOME ozone values. This method makes use of the information on the model reliability. It is found chat the intrinsic (random) uncertainty in GOME total ozone columns is rather small: less than 6 DU (or about 2%). Furthermore, a systematic error is identified which depends on the viewing direction.

Original languageEnglish
Pages (from-to)637-640
Number of pages4
JournalEuropean Space Agency, (Special Publication) ESA SP
Issue number414 PART 2
StatePublished - 1997

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