MozartV1, PascalFrancis, Corpus, bibRecord, 000054

Ozone air quality measurement requirements for a geostationary satellite mission

Identifieur interne : 000054 ( PascalFrancis/Corpus ); précédent : 000053; suivant : 000055

Ozone air quality measurement requirements for a geostationary satellite mission

Auteurs : Peter Zoogman ; Daniel J. Jacob ; Kelly Chance ; LIN ZHANG ; Philippe Le Sager ; Arlene M. Fiore ; Annmarie Eldering ; XIONG LIU ; Vijay Natraj ; Susan S. Kulawik

Source :

Atmospheric environment : (1994) [ 1352-2310 ] ; 2011.

RBID : Pascal:11-0506072

Descripteurs français

Pascal (Inist)
- Ozone, Qualité air, Assimilation donnée, Rayonnement UV, Transport chimique, Modélisation, Filtre Kalman, Observation météorologique, Troposphère, Analyse sensibilité, Couche limite, Télédétection, Amérique du Nord, Oxydant photochimique.

English descriptors

KwdEn :
- Air quality, Boundary layer, Chemical transport, Data assimilation, Kalman filter, Meteorological observation, Modeling, North America, Ozone, Photochemical oxidants, Remote sensing, Sensitivity analysis, Troposphere, Ultraviolet radiation.

Abstract

We conduct an Observing System Simulation Experiment (OSSE) to test the ability of geostationary satellite measurements of ozone in different spectral regions to constrain surface ozone concentrations through data assimilation. Our purpose is to define instrument requirements for the NASA GEO-CAPE geostationary air quality mission over North America. We consider instruments using different spectral combinations of UV (290-340 nm), Vis (560-620 nm), and thermal IR (TIR, 9.6 μm). Hourly ozone data from the MOZART global 3-D chemical transport model (CTM) are taken as the "true" atmosphere to be sampled by the instruments for July 2001. The resulting synthetic data are assimilated in the GEOS-Chem CTM using a Kalman filter. The MOZART and GEOS-Chem CTMs have independent heritages and use different assimilated meteorological data sets for the same period, making for an objective OSSE. We show that hourly observations of ozone from geostationary orbit improve the assimilation considerably relative to daily observation from low earth orbit, and that broad observation over the ocean is unnecessary if the objective is to constrain surface ozone distribution over land. We also show that there is little propagation of ozone information from the free troposphere to the surface, so that instrument sensitivity in the boundary layer is essential. UV + Vis and UV + TIR spectral combinations improve greatly the information on surface ozone relative to UV alone. UV + TIR is preferable under high-sensitivity conditions with strong thermal contrast at the surface, but UV + Vis is preferable under low-sensitivity conditions. Assimilation of data from a UV + Vis + TIR instrument reduces the GEOS-Chem error for surface ozone by a factor of two. Observation in the TIR is critical to obtain ozone information in the upper troposphere relevant to climate forcing.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A11	`01`	`1`		`@1 ZOOGMAN (Peter)`
A11	`02`	`1`		`@1 JACOB (Daniel J.)`
A11	`03`	`1`		`@1 CHANCE (Kelly)`
A11	`04`	`1`		`@1 LIN ZHANG`
A11	`05`	`1`		`@1 LE SAGER (Philippe)`
A11	`06`	`1`		`@1 FIORE (Arlene M.)`
A11	`07`	`1`		`@1 ELDERING (Annmarie)`
A11	`08`	`1`		`@1 XIONG LIU`
A11	`09`	`1`		`@1 NATRAJ (Vijay)`
A11	`10`	`1`		`@1 KULAWIK (Susan S.)`
A14	`01`			`@1 Department of Earth and Planetary Sciences, Harvard University, 29 Oxford Street @2 Cambridge, MA 02138 @3 USA @Z 1 aut. @Z 2 aut. @Z 4 aut.`
A14	`02`			`@1 School of Engineering and Applied Sciences, Harvard University @2 Cambridge, MA @3 USA @Z 2 aut. @Z 5 aut.`
A14	`03`			`@1 Harvard Smithsonian Center for Astrophysics @2 Cambridge, MA @3 USA @Z 3 aut. @Z 8 aut.`
A14	`04`			`@1 Geophysical Fluid Dynamics Laboratory, NOAA @2 Princeton, NJ @3 USA @Z 6 aut.`
A14	`05`			`@1 Jet Propulsion Laboratory, California Institute of Technology @2 Pasadena, CA @3 USA @Z 7 aut. @Z 9 aut. @Z 10 aut.`
A20				`@1 7143-7150`
A21				`@1 2011`
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A44				`@0 0000 @1 © 2011 INIST-CNRS. All rights reserved.`
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C01	`01`		`ENG`	@0 We conduct an Observing System Simulation Experiment (OSSE) to test the ability of geostationary satellite measurements of ozone in different spectral regions to constrain surface ozone concentrations through data assimilation. Our purpose is to define instrument requirements for the NASA GEO-CAPE geostationary air quality mission over North America. We consider instruments using different spectral combinations of UV (290-340 nm), Vis (560-620 nm), and thermal IR (TIR, 9.6 μm). Hourly ozone data from the MOZART global 3-D chemical transport model (CTM) are taken as the "true" atmosphere to be sampled by the instruments for July 2001. The resulting synthetic data are assimilated in the GEOS-Chem CTM using a Kalman filter. The MOZART and GEOS-Chem CTMs have independent heritages and use different assimilated meteorological data sets for the same period, making for an objective OSSE. We show that hourly observations of ozone from geostationary orbit improve the assimilation considerably relative to daily observation from low earth orbit, and that broad observation over the ocean is unnecessary if the objective is to constrain surface ozone distribution over land. We also show that there is little propagation of ozone information from the free troposphere to the surface, so that instrument sensitivity in the boundary layer is essential. UV + Vis and UV + TIR spectral combinations improve greatly the information on surface ozone relative to UV alone. UV + TIR is preferable under high-sensitivity conditions with strong thermal contrast at the surface, but UV + Vis is preferable under low-sensitivity conditions. Assimilation of data from a UV + Vis + TIR instrument reduces the GEOS-Chem error for surface ozone by a factor of two. Observation in the TIR is critical to obtain ozone information in the upper troposphere relevant to climate forcing.
C02	`01`	`X`		`@0 001D16C`
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C03	`01`	`X`	`ENG`	`@0 Ozone @2 NK @2 FX @5 01`
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C03	`03`	`X`	`ENG`	`@0 Data assimilation @5 03`
C03	`03`	`X`	`SPA`	`@0 Asimilación dato @5 03`
C03	`04`	`X`	`FRE`	`@0 Rayonnement UV @5 04`
C03	`04`	`X`	`ENG`	`@0 Ultraviolet radiation @5 04`
C03	`04`	`X`	`SPA`	`@0 Radiación ultravioleta @5 04`
C03	`05`	`X`	`FRE`	`@0 Transport chimique @5 05`
C03	`05`	`X`	`ENG`	`@0 Chemical transport @5 05`
C03	`05`	`X`	`SPA`	`@0 Transporte químico @5 05`
C03	`06`	`X`	`FRE`	`@0 Modélisation @5 06`
C03	`06`	`X`	`ENG`	`@0 Modeling @5 06`
C03	`06`	`X`	`SPA`	`@0 Modelización @5 06`
C03	`07`	`X`	`FRE`	`@0 Filtre Kalman @5 07`
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C03	`09`	`X`	`FRE`	`@0 Troposphère @5 09`
C03	`09`	`X`	`ENG`	`@0 Troposphere @5 09`
C03	`09`	`X`	`SPA`	`@0 Troposfera @5 09`
C03	`10`	`X`	`FRE`	`@0 Analyse sensibilité @5 10`
C03	`10`	`X`	`ENG`	`@0 Sensitivity analysis @5 10`
C03	`10`	`X`	`SPA`	`@0 Análisis sensibilidad @5 10`
C03	`11`	`X`	`FRE`	`@0 Couche limite @5 11`
C03	`11`	`X`	`ENG`	`@0 Boundary layer @5 11`
C03	`11`	`X`	`SPA`	`@0 Capa límite @5 11`
C03	`12`	`X`	`FRE`	`@0 Télédétection @5 12`
C03	`12`	`X`	`ENG`	`@0 Remote sensing @5 12`
C03	`12`	`X`	`SPA`	`@0 Teledetección @5 12`
C03	`13`	`X`	`FRE`	`@0 Amérique du Nord @2 NG @5 31`
C03	`13`	`X`	`ENG`	`@0 North America @2 NG @5 31`
C03	`13`	`X`	`SPA`	`@0 America del norte @2 NG @5 31`
C03	`14`	`3`	`FRE`	`@0 Oxydant photochimique @5 35`
C03	`14`	`3`	`ENG`	`@0 Photochemical oxidants @5 35`
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C07	`01`	`X`	`ENG`	`@0 America @2 NG`
C07	`01`	`X`	`SPA`	`@0 America @2 NG`
N21				`@1 346`
N44	`01`			`@1 OTO`
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Format Inist (serveur)

NO :	PASCAL 11-0506072 INIST
ET :	Ozone air quality measurement requirements for a geostationary satellite mission
AU :	ZOOGMAN (Peter); JACOB (Daniel J.); CHANCE (Kelly); LIN ZHANG; LE SAGER (Philippe); FIORE (Arlene M.); ELDERING (Annmarie); XIONG LIU; NATRAJ (Vijay); KULAWIK (Susan S.)
AF :	Department of Earth and Planetary Sciences, Harvard University, 29 Oxford Street/Cambridge, MA 02138/Etats-Unis (1 aut., 2 aut., 4 aut.); School of Engineering and Applied Sciences, Harvard University/Cambridge, MA/Etats-Unis (2 aut., 5 aut.); Harvard Smithsonian Center for Astrophysics/Cambridge, MA/Etats-Unis (3 aut., 8 aut.); Geophysical Fluid Dynamics Laboratory, NOAA/Princeton, NJ/Etats-Unis (6 aut.); Jet Propulsion Laboratory, California Institute of Technology/Pasadena, CA/Etats-Unis (7 aut., 9 aut., 10 aut.)
DT :	Publication en série; Niveau analytique
SO :	Atmospheric environment : (1994); ISSN 1352-2310; Royaume-Uni; Da. 2011; Vol. 45; No. 39; Pp. 7143-7150; Bibl. 3/4 p.
LA :	Anglais
EA :	We conduct an Observing System Simulation Experiment (OSSE) to test the ability of geostationary satellite measurements of ozone in different spectral regions to constrain surface ozone concentrations through data assimilation. Our purpose is to define instrument requirements for the NASA GEO-CAPE geostationary air quality mission over North America. We consider instruments using different spectral combinations of UV (290-340 nm), Vis (560-620 nm), and thermal IR (TIR, 9.6 μm). Hourly ozone data from the MOZART global 3-D chemical transport model (CTM) are taken as the "true" atmosphere to be sampled by the instruments for July 2001. The resulting synthetic data are assimilated in the GEOS-Chem CTM using a Kalman filter. The MOZART and GEOS-Chem CTMs have independent heritages and use different assimilated meteorological data sets for the same period, making for an objective OSSE. We show that hourly observations of ozone from geostationary orbit improve the assimilation considerably relative to daily observation from low earth orbit, and that broad observation over the ocean is unnecessary if the objective is to constrain surface ozone distribution over land. We also show that there is little propagation of ozone information from the free troposphere to the surface, so that instrument sensitivity in the boundary layer is essential. UV + Vis and UV + TIR spectral combinations improve greatly the information on surface ozone relative to UV alone. UV + TIR is preferable under high-sensitivity conditions with strong thermal contrast at the surface, but UV + Vis is preferable under low-sensitivity conditions. Assimilation of data from a UV + Vis + TIR instrument reduces the GEOS-Chem error for surface ozone by a factor of two. Observation in the TIR is critical to obtain ozone information in the upper troposphere relevant to climate forcing.
CC :	001D16C
FD :	Ozone; Qualité air; Assimilation donnée; Rayonnement UV; Transport chimique; Modélisation; Filtre Kalman; Observation météorologique; Troposphère; Analyse sensibilité; Couche limite; Télédétection; Amérique du Nord; Oxydant photochimique
FG :	Amérique
ED :	Ozone; Air quality; Data assimilation; Ultraviolet radiation; Chemical transport; Modeling; Kalman filter; Meteorological observation; Troposphere; Sensitivity analysis; Boundary layer; Remote sensing; North America; Photochemical oxidants
EG :	America
SD :	Ozono; Calidad aire; Asimilación dato; Radiación ultravioleta; Transporte químico; Modelización; Filtro Kalman; Observación meteorológica; Troposfera; Análisis sensibilidad; Capa límite; Teledetección; America del norte
LO :	INIST-8940B.354000505595830160
ID :	11-0506072

Links to Exploration step

Pascal:11-0506072

Le document en format XML

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<term>Boundary layer</term>
<term>Chemical transport</term>
<term>Data assimilation</term>
<term>Kalman filter</term>
<term>Meteorological observation</term>
<term>Modeling</term>
<term>North America</term>
<term>Ozone</term>
<term>Photochemical oxidants</term>
<term>Remote sensing</term>
<term>Sensitivity analysis</term>
<term>Troposphere</term>
<term>Ultraviolet radiation</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Ozone</term>
<term>Qualité air</term>
<term>Assimilation donnée</term>
<term>Rayonnement UV</term>
<term>Transport chimique</term>
<term>Modélisation</term>
<term>Filtre Kalman</term>
<term>Observation météorologique</term>
<term>Troposphère</term>
<term>Analyse sensibilité</term>
<term>Couche limite</term>
<term>Télédétection</term>
<term>Amérique du Nord</term>
<term>Oxydant photochimique</term>
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<front><div type="abstract" xml:lang="en">We conduct an Observing System Simulation Experiment (OSSE) to test the ability of geostationary satellite measurements of ozone in different spectral regions to constrain surface ozone concentrations through data assimilation. Our purpose is to define instrument requirements for the NASA GEO-CAPE geostationary air quality mission over North America. We consider instruments using different spectral combinations of UV (290-340 nm), Vis (560-620 nm), and thermal IR (TIR, 9.6 μm). Hourly ozone data from the MOZART global 3-D chemical transport model (CTM) are taken as the "true" atmosphere to be sampled by the instruments for July 2001. The resulting synthetic data are assimilated in the GEOS-Chem CTM using a Kalman filter. The MOZART and GEOS-Chem CTMs have independent heritages and use different assimilated meteorological data sets for the same period, making for an objective OSSE. We show that hourly observations of ozone from geostationary orbit improve the assimilation considerably relative to daily observation from low earth orbit, and that broad observation over the ocean is unnecessary if the objective is to constrain surface ozone distribution over land. We also show that there is little propagation of ozone information from the free troposphere to the surface, so that instrument sensitivity in the boundary layer is essential. UV + Vis and UV + TIR spectral combinations improve greatly the information on surface ozone relative to UV alone. UV + TIR is preferable under high-sensitivity conditions with strong thermal contrast at the surface, but UV + Vis is preferable under low-sensitivity conditions. Assimilation of data from a UV + Vis + TIR instrument reduces the GEOS-Chem error for surface ozone by a factor of two. Observation in the TIR is critical to obtain ozone information in the upper troposphere relevant to climate forcing.</div>
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<fA03 i2="1"><s0>Atmos. environ. : (1994)</s0>
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<fA11 i1="03" i2="1"><s1>CHANCE (Kelly)</s1>
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<fA11 i1="04" i2="1"><s1>LIN ZHANG</s1>
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<fA11 i1="05" i2="1"><s1>LE SAGER (Philippe)</s1>
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<fA11 i1="06" i2="1"><s1>FIORE (Arlene M.)</s1>
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<fA11 i1="07" i2="1"><s1>ELDERING (Annmarie)</s1>
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<fA11 i1="08" i2="1"><s1>XIONG LIU</s1>
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<fA11 i1="09" i2="1"><s1>NATRAJ (Vijay)</s1>
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<fA11 i1="10" i2="1"><s1>KULAWIK (Susan S.)</s1>
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<fA14 i1="01"><s1>Department of Earth and Planetary Sciences, Harvard University, 29 Oxford Street</s1>
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<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>4 aut.</sZ>
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<fA14 i1="02"><s1>School of Engineering and Applied Sciences, Harvard University</s1>
<s2>Cambridge, MA</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
<sZ>5 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>Harvard Smithsonian Center for Astrophysics</s1>
<s2>Cambridge, MA</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
<sZ>8 aut.</sZ>
</fA14>
<fA14 i1="04"><s1>Geophysical Fluid Dynamics Laboratory, NOAA</s1>
<s2>Princeton, NJ</s2>
<s3>USA</s3>
<sZ>6 aut.</sZ>
</fA14>
<fA14 i1="05"><s1>Jet Propulsion Laboratory, California Institute of Technology</s1>
<s2>Pasadena, CA</s2>
<s3>USA</s3>
<sZ>7 aut.</sZ>
<sZ>9 aut.</sZ>
<sZ>10 aut.</sZ>
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<fA20><s1>7143-7150</s1>
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<fA61><s0>A</s0>
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<fA64 i1="01" i2="1"><s0>Atmospheric environment : (1994)</s0>
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<fA66 i1="01"><s0>GBR</s0>
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<fC01 i1="01" l="ENG"><s0>We conduct an Observing System Simulation Experiment (OSSE) to test the ability of geostationary satellite measurements of ozone in different spectral regions to constrain surface ozone concentrations through data assimilation. Our purpose is to define instrument requirements for the NASA GEO-CAPE geostationary air quality mission over North America. We consider instruments using different spectral combinations of UV (290-340 nm), Vis (560-620 nm), and thermal IR (TIR, 9.6 μm). Hourly ozone data from the MOZART global 3-D chemical transport model (CTM) are taken as the "true" atmosphere to be sampled by the instruments for July 2001. The resulting synthetic data are assimilated in the GEOS-Chem CTM using a Kalman filter. The MOZART and GEOS-Chem CTMs have independent heritages and use different assimilated meteorological data sets for the same period, making for an objective OSSE. We show that hourly observations of ozone from geostationary orbit improve the assimilation considerably relative to daily observation from low earth orbit, and that broad observation over the ocean is unnecessary if the objective is to constrain surface ozone distribution over land. We also show that there is little propagation of ozone information from the free troposphere to the surface, so that instrument sensitivity in the boundary layer is essential. UV + Vis and UV + TIR spectral combinations improve greatly the information on surface ozone relative to UV alone. UV + TIR is preferable under high-sensitivity conditions with strong thermal contrast at the surface, but UV + Vis is preferable under low-sensitivity conditions. Assimilation of data from a UV + Vis + TIR instrument reduces the GEOS-Chem error for surface ozone by a factor of two. Observation in the TIR is critical to obtain ozone information in the upper troposphere relevant to climate forcing.</s0>
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<s2>NK</s2>
<s2>FX</s2>
<s5>01</s5>
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<s2>NK</s2>
<s2>FX</s2>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Ozono</s0>
<s2>NK</s2>
<s2>FX</s2>
<s5>01</s5>
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<fC03 i1="02" i2="X" l="FRE"><s0>Qualité air</s0>
<s5>02</s5>
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<s5>03</s5>
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<fC03 i1="03" i2="X" l="SPA"><s0>Asimilación dato</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Rayonnement UV</s0>
<s5>04</s5>
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<s5>04</s5>
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<fC03 i1="04" i2="X" l="SPA"><s0>Radiación ultravioleta</s0>
<s5>04</s5>
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<s5>05</s5>
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<fC03 i1="05" i2="X" l="SPA"><s0>Transporte químico</s0>
<s5>05</s5>
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<fC03 i1="06" i2="X" l="FRE"><s0>Modélisation</s0>
<s5>06</s5>
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<fC03 i1="06" i2="X" l="ENG"><s0>Modeling</s0>
<s5>06</s5>
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<s5>06</s5>
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<fC03 i1="07" i2="X" l="FRE"><s0>Filtre Kalman</s0>
<s5>07</s5>
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<fC03 i1="07" i2="X" l="ENG"><s0>Kalman filter</s0>
<s5>07</s5>
</fC03>
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<s5>07</s5>
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<fC03 i1="08" i2="X" l="FRE"><s0>Observation météorologique</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Meteorological observation</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Observación meteorológica</s0>
<s5>08</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE"><s0>Troposphère</s0>
<s5>09</s5>
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<s5>09</s5>
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<s5>09</s5>
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<s5>10</s5>
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<s5>11</s5>
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<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Capa límite</s0>
<s5>11</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE"><s0>Télédétection</s0>
<s5>12</s5>
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<fC03 i1="12" i2="X" l="ENG"><s0>Remote sensing</s0>
<s5>12</s5>
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<fC03 i1="12" i2="X" l="SPA"><s0>Teledetección</s0>
<s5>12</s5>
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<fC03 i1="13" i2="X" l="FRE"><s0>Amérique du Nord</s0>
<s2>NG</s2>
<s5>31</s5>
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<s2>NG</s2>
<s5>31</s5>
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<fC03 i1="13" i2="X" l="SPA"><s0>America del norte</s0>
<s2>NG</s2>
<s5>31</s5>
</fC03>
<fC03 i1="14" i2="3" l="FRE"><s0>Oxydant photochimique</s0>
<s5>35</s5>
</fC03>
<fC03 i1="14" i2="3" l="ENG"><s0>Photochemical oxidants</s0>
<s5>35</s5>
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<s2>NG</s2>
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<fN21><s1>346</s1>
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<fN44 i1="01"><s1>OTO</s1>
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<fN82><s1>OTO</s1>
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<server><NO>PASCAL 11-0506072 INIST</NO>
<ET>Ozone air quality measurement requirements for a geostationary satellite mission</ET>
<AU>ZOOGMAN (Peter); JACOB (Daniel J.); CHANCE (Kelly); LIN ZHANG; LE SAGER (Philippe); FIORE (Arlene M.); ELDERING (Annmarie); XIONG LIU; NATRAJ (Vijay); KULAWIK (Susan S.)</AU>
<AF>Department of Earth and Planetary Sciences, Harvard University, 29 Oxford Street/Cambridge, MA 02138/Etats-Unis (1 aut., 2 aut., 4 aut.); School of Engineering and Applied Sciences, Harvard University/Cambridge, MA/Etats-Unis (2 aut., 5 aut.); Harvard Smithsonian Center for Astrophysics/Cambridge, MA/Etats-Unis (3 aut., 8 aut.); Geophysical Fluid Dynamics Laboratory, NOAA/Princeton, NJ/Etats-Unis (6 aut.); Jet Propulsion Laboratory, California Institute of Technology/Pasadena, CA/Etats-Unis (7 aut., 9 aut., 10 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Atmospheric environment : (1994); ISSN 1352-2310; Royaume-Uni; Da. 2011; Vol. 45; No. 39; Pp. 7143-7150; Bibl. 3/4 p.</SO>
<LA>Anglais</LA>
<EA>We conduct an Observing System Simulation Experiment (OSSE) to test the ability of geostationary satellite measurements of ozone in different spectral regions to constrain surface ozone concentrations through data assimilation. Our purpose is to define instrument requirements for the NASA GEO-CAPE geostationary air quality mission over North America. We consider instruments using different spectral combinations of UV (290-340 nm), Vis (560-620 nm), and thermal IR (TIR, 9.6 μm). Hourly ozone data from the MOZART global 3-D chemical transport model (CTM) are taken as the "true" atmosphere to be sampled by the instruments for July 2001. The resulting synthetic data are assimilated in the GEOS-Chem CTM using a Kalman filter. The MOZART and GEOS-Chem CTMs have independent heritages and use different assimilated meteorological data sets for the same period, making for an objective OSSE. We show that hourly observations of ozone from geostationary orbit improve the assimilation considerably relative to daily observation from low earth orbit, and that broad observation over the ocean is unnecessary if the objective is to constrain surface ozone distribution over land. We also show that there is little propagation of ozone information from the free troposphere to the surface, so that instrument sensitivity in the boundary layer is essential. UV + Vis and UV + TIR spectral combinations improve greatly the information on surface ozone relative to UV alone. UV + TIR is preferable under high-sensitivity conditions with strong thermal contrast at the surface, but UV + Vis is preferable under low-sensitivity conditions. Assimilation of data from a UV + Vis + TIR instrument reduces the GEOS-Chem error for surface ozone by a factor of two. Observation in the TIR is critical to obtain ozone information in the upper troposphere relevant to climate forcing.</EA>
<CC>001D16C</CC>
<FD>Ozone; Qualité air; Assimilation donnée; Rayonnement UV; Transport chimique; Modélisation; Filtre Kalman; Observation météorologique; Troposphère; Analyse sensibilité; Couche limite; Télédétection; Amérique du Nord; Oxydant photochimique</FD>
<FG>Amérique</FG>
<ED>Ozone; Air quality; Data assimilation; Ultraviolet radiation; Chemical transport; Modeling; Kalman filter; Meteorological observation; Troposphere; Sensitivity analysis; Boundary layer; Remote sensing; North America; Photochemical oxidants</ED>
<EG>America</EG>
<SD>Ozono; Calidad aire; Asimilación dato; Radiación ultravioleta; Transporte químico; Modelización; Filtro Kalman; Observación meteorológica; Troposfera; Análisis sensibilidad; Capa límite; Teledetección; America del norte</SD>
<LO>INIST-8940B.354000505595830160</LO>
<ID>11-0506072</ID>
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Ozone air quality measurement requirements for a geostationary satellite mission

Ozone air quality measurement requirements for a geostationary satellite mission

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