GOME validation using data assimilation

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

GOME validation using data assimilation

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

Atmospheric Chemistry Observations & Modeling Administrative Office

Royal Netherlands Meteorological Institute

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	637-640
Number of pages	4
Journal	European Space Agency, (Special Publication) ESA SP
Issue number	414 PART 2
State	Published - 1997

Cite this

@article{7bfbfdb899314473a47c8498808b1135,

title = "GOME validation using data assimilation",

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.",

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year = "1997",

language = "English",

pages = "637--640",

journal = "European Space Agency, (Special Publication) ESA SP",

issn = "0379-6566",

publisher = "European Space Agency",

number = "414 PART 2",

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TY - JOUR

T1 - GOME validation using data assimilation

AU - Piters, A. J.M.

AU - Levelt, P. F.

AU - Kelder, H. M.

PY - 1997

Y1 - 1997

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/5244222950

M3 - Article

AN - SCOPUS:5244222950

SN - 0379-6566

SP - 637

EP - 640

JO - European Space Agency, (Special Publication) ESA SP

JF - European Space Agency, (Special Publication) ESA SP

IS - 414 PART 2

ER -

GOME validation using data assimilation

Abstract

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