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

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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
Journal	ESA SP
Volume	414
Issue number	2
Publication status	Published - 1997

Cite this

@article{19da3af744754c9fac6c452b9b0fbcda,

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",

author = "A.J.M. Piters and P.F. Levelt and H.M. Kelder",

year = "1997",

language = "English",

volume = "414",

pages = "637--640",

journal = "ESA SP",

issn = "0379-6566",

publisher = "European Space Agency",

number = "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

M3 - Article

SN - 0379-6566

VL - 414

SP - 637

EP - 640

JO - ESA SP

JF - ESA SP

IS - 2

ER -

GOME validation using data assimilation

Abstract

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