MozartV1, PascalFrancis, Corpus, bibRecord, 000091

The impact of chemical lateral boundary conditions on CMAQ predictions of tropospheric ozone over the continental United States

Identifieur interne : 000091 ( PascalFrancis/Corpus ); précédent : 000090; suivant : 000092

The impact of chemical lateral boundary conditions on CMAQ predictions of tropospheric ozone over the continental United States

Auteurs : YOUHUA TANG ; Pius Lee ; Marina Tsidulko ; Ho-Chun Huang ; Jeffery T. Mcqueen ; Geowrey J. Dimego ; Louisa K. Emmons ; Robert B. Pierce ; Anne M. Thompson ; Hsin-Mu Lin ; DAIWEN KANG ; Daniel Tong ; SHAOCAI YU ; Rohit Mathur ; Jonathan E. Pleim ; Tanya L. Otte ; George Pouliot ; Jeffrey O. Young ; Kenneth L. Schere ; Paula M. Davidson ; Ivanka Stajner

Source :

Environmental fluid mechanics : (2001) [ 1567-7419 ] ; 2009.

RBID : Pascal:09-0224230

Descripteurs français

Pascal (Inist)
- Qualité air, Pollution air, Troposphère, Oxydant photochimique, Ozone, Simulation numérique, Modèle prévision, Prévision pollution atmosphérique, Modèle chimique, Analyse sensibilité, Condition aux limites, Eté, Etats-Unis.

English descriptors

KwdEn :
- Air pollution, Air quality, Atmospheric pollution forecasting, Boundary condition, Chemical model, Forecast model, Numerical simulation, Ozone, Photochemical oxidants, Sensitivity analysis, Summer, Troposphere, United States.

Abstract

A sensitivity study is performed to examine the impact of lateral boundary conditions (LBCs) on the NOAA-EPA operational Air Quality Forecast Guidance over continental USA. We examined six LBCS: the fixed profile LBC, three global LBCs, and two ozonesonde LBCs for summer 2006. The simulated results from these six runs are compared to IONS ozonesonde and surface ozone measurements from August 1 to 5, 2006. The choice of LBCs can affect the ozone prediction throughout the domain, and mainly influence the predictions in upper altitude or near inflow boundaries, such as the US west coast and the northern border. Statistical results shows that the use of global model predictions for LBCs could improve the correlation coefficients of surface ozone prediction over the US west coast, but could also increase the ozone mean bias in most regions of the domain depending on global models. In this study, the use of the MOZART (Model for Ozone And Related chemical Tracers) prediction for CMAQ (Community Multiscale Air Quality) LBC shows a better surface ozone prediction than that with fixed LBC, especially over the US west coast. The LBCs derived from ozonesonde measurements yielded better O₃ correlations in the upper troposphere.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A08	`01`	`1`	`ENG`	`@1 The impact of chemical lateral boundary conditions on CMAQ predictions of tropospheric ozone over the continental United States`
A09	`01`	`1`	`ENG`	`@1 Physics-Chemistry Interactions in the Atmosphere`
A11	`01`	`1`		`@1 YOUHUA TANG`
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A11	`11`	`1`		`@1 DAIWEN KANG`
A11	`12`	`1`		`@1 TONG (Daniel)`
A11	`13`	`1`		`@1 SHAOCAI YU`
A11	`14`	`1`		`@1 MATHUR (Rohit)`
A11	`15`	`1`		`@1 PLEIM (Jonathan E.)`
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A11	`17`	`1`		`@1 POULIOT (George)`
A11	`18`	`1`		`@1 YOUNG (Jeffrey O.)`
A11	`19`	`1`		`@1 SCHERE (Kenneth L.)`
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A12	`01`	`1`		`@1 RAO (S. T.) @9 ed.`
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A14	`05`			`@1 Department of Meteorology, Pennsylvania State University @2 University Park, PA @3 USA @Z 9 aut.`
A14	`06`			`@1 Science and Technology Corporation @2 Hampton, VA @3 USA @Z 10 aut. @Z 11 aut. @Z 12 aut. @Z 13 aut.`
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A14	`08`			`@1 Noblis Inc @2 Falls Church, VA @3 USA @Z 21 aut.`
A15	`01`			`@1 Atmospheric Modeling Division, National Exposure Research Laboratory, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Room E-240 D @2 Research Triangle Park, NC 27711 @3 USA @Z 1 aut.`
A15	`02`			`@1 Atmospheric Science Program, Department of Earth and Ocean Sciences, The University of British Columbia, 6339 Stores Road @2 Vancouver, BC, V6T 1Z4 @3 CAN @Z 2 aut.`
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C01	`01`		`ENG`	@0 A sensitivity study is performed to examine the impact of lateral boundary conditions (LBCs) on the NOAA-EPA operational Air Quality Forecast Guidance over continental USA. We examined six LBCS: the fixed profile LBC, three global LBCs, and two ozonesonde LBCs for summer 2006. The simulated results from these six runs are compared to IONS ozonesonde and surface ozone measurements from August 1 to 5, 2006. The choice of LBCs can affect the ozone prediction throughout the domain, and mainly influence the predictions in upper altitude or near inflow boundaries, such as the US west coast and the northern border. Statistical results shows that the use of global model predictions for LBCs could improve the correlation coefficients of surface ozone prediction over the US west coast, but could also increase the ozone mean bias in most regions of the domain depending on global models. In this study, the use of the MOZART (Model for Ozone And Related chemical Tracers) prediction for CMAQ (Community Multiscale Air Quality) LBC shows a better surface ozone prediction than that with fixed LBC, especially over the US west coast. The LBCs derived from ozonesonde measurements yielded better O₃ correlations in the upper troposphere.
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A30	`01`	`1`	`ENG`	`@1 Conference on Air Quality Modeling @3 USA @4 2007-10`

Format Inist (serveur)

NO :	PASCAL 09-0224230 INIST
ET :	The impact of chemical lateral boundary conditions on CMAQ predictions of tropospheric ozone over the continental United States
AU :	YOUHUA TANG; LEE (Pius); TSIDULKO (Marina); HUANG (Ho-Chun); MCQUEEN (Jeffery T.); DIMEGO (Geowrey J.); EMMONS (Louisa K.); PIERCE (Robert B.); THOMPSON (Anne M.); LIN (Hsin-Mu); DAIWEN KANG; TONG (Daniel); SHAOCAI YU; MATHUR (Rohit); PLEIM (Jonathan E.); OTTE (Tanya L.); POULIOT (George); YOUNG (Jeffrey O.); SCHERE (Kenneth L.); DAVIDSON (Paula M.); STAJNER (Ivanka); RAO (S. T.); STEYN (Douw G.); KALLOS (George)
AF :	Scientific Applications International Corporation/Camp Springs, MD/Etats-Unis (1 aut., 2 aut., 3 aut., 4 aut.); NOAA/NWS/NCEP/EMC, W/NP22 Room 207, 5200 Auth Road/Camp Springs, MD 20746-4304/Etats-Unis (5 aut., 6 aut.); National Center for Atmospheric Research/Boulder, CO/Etats-Unis (7 aut.); NOAA/NESDIS Advanced Satellite Products Branch/Madison, WI/Etats-Unis (8 aut.); Department of Meteorology, Pennsylvania State University/University Park, PA/Etats-Unis (9 aut.); Science and Technology Corporation/Hampton, VA/Etats-Unis (10 aut., 11 aut., 12 aut., 13 aut.); EPA National Exposure Research Laboratory/Research Triangle Park, NC/Etats-Unis (14 aut., 15 aut., 16 aut., 17 aut., 18 aut., 19 aut.); Noblis Inc/Falls Church, VA/Etats-Unis (21 aut.); Atmospheric Modeling Division, National Exposure Research Laboratory, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Room E-240 D/Research Triangle Park, NC 27711/Etats-Unis (1 aut.); Atmospheric Science Program, Department of Earth and Ocean Sciences, The University of British Columbia, 6339 Stores Road/Vancouver, BC, V6T 1Z4/Canada (2 aut.); Division of Environment and Meteorology, School of Physics, University of Athens, Bldg. PHYS-V/15784 Athens/Grèce (3 aut.)
DT :	Publication en série; Congrès; Niveau analytique
SO :	Environmental fluid mechanics : (2001); ISSN 1567-7419; Pays-Bas; Da. 2009; Vol. 9; No. 1; Pp. 43-58; Bibl. 35 ref.
LA :	Anglais
EA :	A sensitivity study is performed to examine the impact of lateral boundary conditions (LBCs) on the NOAA-EPA operational Air Quality Forecast Guidance over continental USA. We examined six LBCS: the fixed profile LBC, three global LBCs, and two ozonesonde LBCs for summer 2006. The simulated results from these six runs are compared to IONS ozonesonde and surface ozone measurements from August 1 to 5, 2006. The choice of LBCs can affect the ozone prediction throughout the domain, and mainly influence the predictions in upper altitude or near inflow boundaries, such as the US west coast and the northern border. Statistical results shows that the use of global model predictions for LBCs could improve the correlation coefficients of surface ozone prediction over the US west coast, but could also increase the ozone mean bias in most regions of the domain depending on global models. In this study, the use of the MOZART (Model for Ozone And Related chemical Tracers) prediction for CMAQ (Community Multiscale Air Quality) LBC shows a better surface ozone prediction than that with fixed LBC, especially over the US west coast. The LBCs derived from ozonesonde measurements yielded better O₃ correlations in the upper troposphere.
CC :	001D16C02; 001D16C03
FD :	Qualité air; Pollution air; Troposphère; Oxydant photochimique; Ozone; Simulation numérique; Modèle prévision; Prévision pollution atmosphérique; Modèle chimique; Analyse sensibilité; Condition aux limites; Eté; Etats-Unis
FG :	Amérique du Nord; Amérique
ED :	Air quality; Air pollution; Troposphere; Photochemical oxidants; Ozone; Numerical simulation; Forecast model; Atmospheric pollution forecasting; Chemical model; Sensitivity analysis; Boundary condition; Summer; United States
EG :	North America; America
SD :	Calidad aire; Contaminación aire; Troposfera; Ozono; Simulación numérica; Modelo previsión; Previsión contaminación del ambiente; Modelo químico; Análisis sensibilidad; Condiciones límites; Verano; Estados Unidos
LO :	INIST-27144.354000187347730030
ID :	09-0224230

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Pascal:09-0224230

Le document en format XML

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<author><name sortKey="Daiwen Kang" sort="Daiwen Kang" uniqKey="Daiwen Kang" last="Daiwen Kang">DAIWEN KANG</name>
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<author><name sortKey="Tong, Daniel" sort="Tong, Daniel" uniqKey="Tong D" first="Daniel" last="Tong">Daniel Tong</name>
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<author><name sortKey="Pleim, Jonathan E" sort="Pleim, Jonathan E" uniqKey="Pleim J" first="Jonathan E." last="Pleim">Jonathan E. Pleim</name>
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<author><name sortKey="Otte, Tanya L" sort="Otte, Tanya L" uniqKey="Otte T" first="Tanya L." last="Otte">Tanya L. Otte</name>
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<author><name sortKey="Pouliot, George" sort="Pouliot, George" uniqKey="Pouliot G" first="George" last="Pouliot">George Pouliot</name>
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<series><title level="j" type="main">Environmental fluid mechanics : (2001)</title>
<title level="j" type="abbreviated">Environ. fluid mech. : (2001)</title>
<idno type="ISSN">1567-7419</idno>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Air pollution</term>
<term>Air quality</term>
<term>Atmospheric pollution forecasting</term>
<term>Boundary condition</term>
<term>Chemical model</term>
<term>Forecast model</term>
<term>Numerical simulation</term>
<term>Ozone</term>
<term>Photochemical oxidants</term>
<term>Sensitivity analysis</term>
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<term>Oxydant photochimique</term>
<term>Ozone</term>
<term>Simulation numérique</term>
<term>Modèle prévision</term>
<term>Prévision pollution atmosphérique</term>
<term>Modèle chimique</term>
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<front><div type="abstract" xml:lang="en">A sensitivity study is performed to examine the impact of lateral boundary conditions (LBCs) on the NOAA-EPA operational Air Quality Forecast Guidance over continental USA. We examined six LBCS: the fixed profile LBC, three global LBCs, and two ozonesonde LBCs for summer 2006. The simulated results from these six runs are compared to IONS ozonesonde and surface ozone measurements from August 1 to 5, 2006. The choice of LBCs can affect the ozone prediction throughout the domain, and mainly influence the predictions in upper altitude or near inflow boundaries, such as the US west coast and the northern border. Statistical results shows that the use of global model predictions for LBCs could improve the correlation coefficients of surface ozone prediction over the US west coast, but could also increase the ozone mean bias in most regions of the domain depending on global models. In this study, the use of the MOZART (Model for Ozone And Related chemical Tracers) prediction for CMAQ (Community Multiscale Air Quality) LBC shows a better surface ozone prediction than that with fixed LBC, especially over the US west coast. The LBCs derived from ozonesonde measurements yielded better O<sub>3</sub>
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<s5>01</s5>
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<s5>01</s5>
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<s5>01</s5>
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<s5>02</s5>
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<s5>03</s5>
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<s5>03</s5>
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<fC03 i1="04" i2="3" l="FRE"><s0>Oxydant photochimique</s0>
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<s5>10</s5>
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<s5>11</s5>
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<s2>NG</s2>
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<s2>NG</s2>
<s5>21</s5>
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<fC07 i1="01" i2="X" l="FRE"><s0>Amérique du Nord</s0>
<s2>NG</s2>
</fC07>
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<s2>NG</s2>
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<fC07 i1="01" i2="X" l="SPA"><s0>America del norte</s0>
<s2>NG</s2>
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<fC07 i1="02" i2="X" l="FRE"><s0>Amérique</s0>
<s2>NG</s2>
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<fC07 i1="02" i2="X" l="ENG"><s0>America</s0>
<s2>NG</s2>
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<fC07 i1="02" i2="X" l="SPA"><s0>America</s0>
<s2>NG</s2>
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<fN21><s1>166</s1>
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<pR><fA30 i1="01" i2="1" l="ENG"><s1>Conference on Air Quality Modeling</s1>
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<s4>2007-10</s4>
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<server><NO>PASCAL 09-0224230 INIST</NO>
<ET>The impact of chemical lateral boundary conditions on CMAQ predictions of tropospheric ozone over the continental United States</ET>
<AU>YOUHUA TANG; LEE (Pius); TSIDULKO (Marina); HUANG (Ho-Chun); MCQUEEN (Jeffery T.); DIMEGO (Geowrey J.); EMMONS (Louisa K.); PIERCE (Robert B.); THOMPSON (Anne M.); LIN (Hsin-Mu); DAIWEN KANG; TONG (Daniel); SHAOCAI YU; MATHUR (Rohit); PLEIM (Jonathan E.); OTTE (Tanya L.); POULIOT (George); YOUNG (Jeffrey O.); SCHERE (Kenneth L.); DAVIDSON (Paula M.); STAJNER (Ivanka); RAO (S. T.); STEYN (Douw G.); KALLOS (George)</AU>
<AF>Scientific Applications International Corporation/Camp Springs, MD/Etats-Unis (1 aut., 2 aut., 3 aut., 4 aut.); NOAA/NWS/NCEP/EMC, W/NP22 Room 207, 5200 Auth Road/Camp Springs, MD 20746-4304/Etats-Unis (5 aut., 6 aut.); National Center for Atmospheric Research/Boulder, CO/Etats-Unis (7 aut.); NOAA/NESDIS Advanced Satellite Products Branch/Madison, WI/Etats-Unis (8 aut.); Department of Meteorology, Pennsylvania State University/University Park, PA/Etats-Unis (9 aut.); Science and Technology Corporation/Hampton, VA/Etats-Unis (10 aut., 11 aut., 12 aut., 13 aut.); EPA National Exposure Research Laboratory/Research Triangle Park, NC/Etats-Unis (14 aut., 15 aut., 16 aut., 17 aut., 18 aut., 19 aut.); Noblis Inc/Falls Church, VA/Etats-Unis (21 aut.); Atmospheric Modeling Division, National Exposure Research Laboratory, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Room E-240 D/Research Triangle Park, NC 27711/Etats-Unis (1 aut.); Atmospheric Science Program, Department of Earth and Ocean Sciences, The University of British Columbia, 6339 Stores Road/Vancouver, BC, V6T 1Z4/Canada (2 aut.); Division of Environment and Meteorology, School of Physics, University of Athens, Bldg. PHYS-V/15784 Athens/Grèce (3 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
<SO>Environmental fluid mechanics : (2001); ISSN 1567-7419; Pays-Bas; Da. 2009; Vol. 9; No. 1; Pp. 43-58; Bibl. 35 ref.</SO>
<LA>Anglais</LA>
<EA>A sensitivity study is performed to examine the impact of lateral boundary conditions (LBCs) on the NOAA-EPA operational Air Quality Forecast Guidance over continental USA. We examined six LBCS: the fixed profile LBC, three global LBCs, and two ozonesonde LBCs for summer 2006. The simulated results from these six runs are compared to IONS ozonesonde and surface ozone measurements from August 1 to 5, 2006. The choice of LBCs can affect the ozone prediction throughout the domain, and mainly influence the predictions in upper altitude or near inflow boundaries, such as the US west coast and the northern border. Statistical results shows that the use of global model predictions for LBCs could improve the correlation coefficients of surface ozone prediction over the US west coast, but could also increase the ozone mean bias in most regions of the domain depending on global models. In this study, the use of the MOZART (Model for Ozone And Related chemical Tracers) prediction for CMAQ (Community Multiscale Air Quality) LBC shows a better surface ozone prediction than that with fixed LBC, especially over the US west coast. The LBCs derived from ozonesonde measurements yielded better O<sub>3</sub>
 correlations in the upper troposphere.</EA>
<CC>001D16C02; 001D16C03</CC>
<FD>Qualité air; Pollution air; Troposphère; Oxydant photochimique; Ozone; Simulation numérique; Modèle prévision; Prévision pollution atmosphérique; Modèle chimique; Analyse sensibilité; Condition aux limites; Eté; Etats-Unis</FD>
<FG>Amérique du Nord; Amérique</FG>
<ED>Air quality; Air pollution; Troposphere; Photochemical oxidants; Ozone; Numerical simulation; Forecast model; Atmospheric pollution forecasting; Chemical model; Sensitivity analysis; Boundary condition; Summer; United States</ED>
<EG>North America; America</EG>
<SD>Calidad aire; Contaminación aire; Troposfera; Ozono; Simulación numérica; Modelo previsión; Previsión contaminación del ambiente; Modelo químico; Análisis sensibilidad; Condiciones límites; Verano; Estados Unidos</SD>
<LO>INIST-27144.354000187347730030</LO>
<ID>09-0224230</ID>
</server>
</inist>
</record>

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The impact of chemical lateral boundary conditions on CMAQ predictions of tropospheric ozone over the continental United States

The impact of chemical lateral boundary conditions on CMAQ predictions of tropospheric ozone over the continental United States

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