Assimilation of stratospheric ozone in the chemical transport model STRATAQ
International audience We describe a sequential assimilation approach useful for assimilating tracer measurements into a three-dimensional chemical transport model (CTM) of the stratosphere. The numerical code, developed largely according to Kha00, uses parameterizations and simplifications allowing...
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ftccsdartic:oai:HAL:hal-00318840v1 2023-11-12T04:05:59+01:00 Assimilation of stratospheric ozone in the chemical transport model STRATAQ Grassi, B. Redaelli, G. Visconti, G. Dipartimento di Fisica L'Aquila Università degli Studi dell'Aquila = University of L'Aquila (UNIVAQ) 2004-09-07 https://hal.science/hal-00318840 https://hal.science/hal-00318840/document https://hal.science/hal-00318840/file/angeo-22-2669-2004.pdf en eng HAL CCSD European Geosciences Union hal-00318840 https://hal.science/hal-00318840 https://hal.science/hal-00318840/document https://hal.science/hal-00318840/file/angeo-22-2669-2004.pdf info:eu-repo/semantics/OpenAccess ISSN: 0992-7689 EISSN: 1432-0576 Annales Geophysicae https://hal.science/hal-00318840 Annales Geophysicae, 2004, 22 (8), pp.2669-2678 [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU]Sciences of the Universe [physics]/Earth Sciences info:eu-repo/semantics/article Journal articles 2004 ftccsdartic 2023-10-21T23:06:20Z International audience We describe a sequential assimilation approach useful for assimilating tracer measurements into a three-dimensional chemical transport model (CTM) of the stratosphere. The numerical code, developed largely according to Kha00, uses parameterizations and simplifications allowing assimilation of sparse observations and the simultaneous evaluation of analysis errors, with reasonable computational requirements. Assimilation parameters are set by using ? 2 and OmF (Observation minus Forecast) statistics. The CTM used here is a high resolution three-dimensional model. It includes a detailed chemical package and is driven by UKMO (United Kingdom Meteorological Office) analyses. We illustrate the method using assimilation of Upper Atmosphere Research Satellite/Microwave Limb Sounder (UARS/MLS) ozone observations for three weeks during the 1996 antarctic spring. The comparison of results from the simulations with TOMS (Total Ozone Mapping Spectrometer) measurements shows improved total ozone fields due to assimilation of MLS observations. Moreover, the assimilation gives indications on a possible model weakness in reproducing polar ozone values during springtime. Article in Journal/Newspaper Antarc* Antarctic Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Antarctic |
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Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU]Sciences of the Universe [physics]/Earth Sciences |
spellingShingle |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU]Sciences of the Universe [physics]/Earth Sciences Grassi, B. Redaelli, G. Visconti, G. Assimilation of stratospheric ozone in the chemical transport model STRATAQ |
topic_facet |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU]Sciences of the Universe [physics]/Earth Sciences |
description |
International audience We describe a sequential assimilation approach useful for assimilating tracer measurements into a three-dimensional chemical transport model (CTM) of the stratosphere. The numerical code, developed largely according to Kha00, uses parameterizations and simplifications allowing assimilation of sparse observations and the simultaneous evaluation of analysis errors, with reasonable computational requirements. Assimilation parameters are set by using ? 2 and OmF (Observation minus Forecast) statistics. The CTM used here is a high resolution three-dimensional model. It includes a detailed chemical package and is driven by UKMO (United Kingdom Meteorological Office) analyses. We illustrate the method using assimilation of Upper Atmosphere Research Satellite/Microwave Limb Sounder (UARS/MLS) ozone observations for three weeks during the 1996 antarctic spring. The comparison of results from the simulations with TOMS (Total Ozone Mapping Spectrometer) measurements shows improved total ozone fields due to assimilation of MLS observations. Moreover, the assimilation gives indications on a possible model weakness in reproducing polar ozone values during springtime. |
author2 |
Dipartimento di Fisica L'Aquila Università degli Studi dell'Aquila = University of L'Aquila (UNIVAQ) |
format |
Article in Journal/Newspaper |
author |
Grassi, B. Redaelli, G. Visconti, G. |
author_facet |
Grassi, B. Redaelli, G. Visconti, G. |
author_sort |
Grassi, B. |
title |
Assimilation of stratospheric ozone in the chemical transport model STRATAQ |
title_short |
Assimilation of stratospheric ozone in the chemical transport model STRATAQ |
title_full |
Assimilation of stratospheric ozone in the chemical transport model STRATAQ |
title_fullStr |
Assimilation of stratospheric ozone in the chemical transport model STRATAQ |
title_full_unstemmed |
Assimilation of stratospheric ozone in the chemical transport model STRATAQ |
title_sort |
assimilation of stratospheric ozone in the chemical transport model strataq |
publisher |
HAL CCSD |
publishDate |
2004 |
url |
https://hal.science/hal-00318840 https://hal.science/hal-00318840/document https://hal.science/hal-00318840/file/angeo-22-2669-2004.pdf |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
ISSN: 0992-7689 EISSN: 1432-0576 Annales Geophysicae https://hal.science/hal-00318840 Annales Geophysicae, 2004, 22 (8), pp.2669-2678 |
op_relation |
hal-00318840 https://hal.science/hal-00318840 https://hal.science/hal-00318840/document https://hal.science/hal-00318840/file/angeo-22-2669-2004.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1782342148789633024 |