Model derived tropospheric NO2 columns compared with GOME measurements
Identifieur interne : 000218 ( PascalFrancis/Corpus ); précédent : 000217; suivant : 000219Model derived tropospheric NO2 columns compared with GOME measurements
Auteurs : G. J. M. Velders ; C. Granier ; R. W. Portmann ; K. Pfeilsticker ; M. Wenig ; T. Wagner ; C. Leue ; U. Platt ; A. Richter ; J. P. BurrowsSource :
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Abstract
Tropospheric NO2 columns derived from measurements by the GOME satellite instrument have been compared with calculations from the global chemistry-transport model MOZART, in order to gain insights into the distribution and fate of atmospheric NO2. The measured and modelled NO2 columns show similar spatial and seasonal patterns, with large tropospheric column amounts over industrialized areas and small column amounts over remote areas. The comparison of the absolute values of the measured and modelled tropospheric columns are particularly dependent upon uncertainties in the derivation of the tropospheric NO2 columns from GOME and the difficulty of modelling the boundary layer in global models. The measured tropospheric column amounts derived from GOME data are of the same order as those calculated by MOZART over the industrialized areas of the USA and Europe, but a factor of 2-3 larger for Asia. The modelled tropospheric NO2 columns as well as the columns measured by GOME are in good agreement with NO2 columns derived from observed NO2 mixing ratios in the boundary layer in eastern North America. In the near future it is expected that the GOME NO2 columns can be used to identify "hot spots" of regional air pollution on a global map, useful for assessment studies.
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NO : | PASCAL 02-0074706 INIST |
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ET : | Model derived tropospheric NO2 columns compared with GOME measurements |
AU : | VELDERS (G. J. M.); GRANIER (C.); PORTMANN (R. W.); PFEILSTICKER (K.); WENIG (M.); WAGNER (T.); LEUE (C.); PLATT (U.); RICHTER (A.); BURROWS (J. P.); LONGHURST (J.W.S.); BREBBIA (C.A.); POWER (H.) |
AF : | Air Research Laboratory, National Institute of Public Health and the Environment/Bilthoven/Pays-Bas (1 aut.); Aeronomy Laboratory, NOAA/Boulder/Etats-Unis (1 aut., 2 aut., 3 aut., 4 aut.); Service d'Aéronomie CNRS/Paris/France (2 aut.); CIRES, University of Colorado/Boulder/Etats-Unis (2 aut.); Institut für Umweltphysik, University of Heidelberg/Allemagne (4 aut., 5 aut., 6 aut., 7 aut., 8 aut.); Institute of Environmental Physics, University of Bremen/Allemagne (9 aut., 10 aut.) |
DT : | Congrès; Niveau analytique |
SO : | International conference on air pollution/8/2000/Cambridge GBR; Royaume-Uni; Southampton: WIT Press; Da. 2000; Pp. 463-472; ISBN 1-85312-822-8 |
LA : | Anglais |
EA : | Tropospheric NO2 columns derived from measurements by the GOME satellite instrument have been compared with calculations from the global chemistry-transport model MOZART, in order to gain insights into the distribution and fate of atmospheric NO2. The measured and modelled NO2 columns show similar spatial and seasonal patterns, with large tropospheric column amounts over industrialized areas and small column amounts over remote areas. The comparison of the absolute values of the measured and modelled tropospheric columns are particularly dependent upon uncertainties in the derivation of the tropospheric NO2 columns from GOME and the difficulty of modelling the boundary layer in global models. The measured tropospheric column amounts derived from GOME data are of the same order as those calculated by MOZART over the industrialized areas of the USA and Europe, but a factor of 2-3 larger for Asia. The modelled tropospheric NO2 columns as well as the columns measured by GOME are in good agreement with NO2 columns derived from observed NO2 mixing ratios in the boundary layer in eastern North America. In the near future it is expected that the GOME NO2 columns can be used to identify "hot spots" of regional air pollution on a global map, useful for assessment studies. |
CC : | 001D16C02; 001E02D04 |
FD : | Troposphère; Pollution air; Qualité air; Azote dioxyde; Teneur; Variation temporelle; Variation spatiale; Surveillance; Télédétection; Observation par satellite; Modélisation |
ED : | Troposphere; Air pollution; Air quality; Nitrogen dioxide; Content; Time variation; Spatial variation; Surveillance; Remote sensing; Satellite observation; Modeling |
SD : | Troposfera; Contaminación aire; Calidad aire; Nitrógeno dióxido; Proporción; Variación temporal; Variación espacial; Vigilancia; Teledetección; Observación por satélite; Modelización |
LO : | INIST-Y 33598.354000097037380470 |
ID : | 02-0074706 |
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Pascal:02-0074706Le document en format XML
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Air pollution</term>
<term>Air quality</term>
<term>Content</term>
<term>Modeling</term>
<term>Nitrogen dioxide</term>
<term>Remote sensing</term>
<term>Satellite observation</term>
<term>Spatial variation</term>
<term>Surveillance</term>
<term>Time variation</term>
<term>Troposphere</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Troposphère</term>
<term>Pollution air</term>
<term>Qualité air</term>
<term>Azote dioxyde</term>
<term>Teneur</term>
<term>Variation temporelle</term>
<term>Variation spatiale</term>
<term>Surveillance</term>
<term>Télédétection</term>
<term>Observation par satellite</term>
<term>Modélisation</term>
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<front><div type="abstract" xml:lang="en">Tropospheric NO<sub>2</sub>
columns derived from measurements by the GOME satellite instrument have been compared with calculations from the global chemistry-transport model MOZART, in order to gain insights into the distribution and fate of atmospheric NO<sub>2</sub>
. The measured and modelled NO<sub>2</sub>
columns show similar spatial and seasonal patterns, with large tropospheric column amounts over industrialized areas and small column amounts over remote areas. The comparison of the absolute values of the measured and modelled tropospheric columns are particularly dependent upon uncertainties in the derivation of the tropospheric NO<sub>2</sub>
columns from GOME and the difficulty of modelling the boundary layer in global models. The measured tropospheric column amounts derived from GOME data are of the same order as those calculated by MOZART over the industrialized areas of the USA and Europe, but a factor of 2-3 larger for Asia. The modelled tropospheric NO<sub>2</sub>
columns as well as the columns measured by GOME are in good agreement with NO<sub>2</sub>
columns derived from observed NO<sub>2</sub>
mixing ratios in the boundary layer in eastern North America. In the near future it is expected that the GOME NO<sub>2</sub>
columns can be used to identify "hot spots" of regional air pollution on a global map, useful for assessment studies.</div>
</front>
</TEI>
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<fA09 i1="01" i2="1" l="ENG"><s1>Air pollution VIII : Cambridge, 2000</s1>
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<fA11 i1="01" i2="1"><s1>VELDERS (G. J. M.)</s1>
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<fA11 i1="03" i2="1"><s1>PORTMANN (R. W.)</s1>
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<fA11 i1="04" i2="1"><s1>PFEILSTICKER (K.)</s1>
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<fA11 i1="06" i2="1"><s1>WAGNER (T.)</s1>
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<s9>ed.</s9>
</fA12>
<fA12 i1="03" i2="1"><s1>POWER (H.)</s1>
<s9>ed.</s9>
</fA12>
<fA14 i1="01"><s1>Air Research Laboratory, National Institute of Public Health and the Environment</s1>
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<fA14 i1="05"><s1>Institut für Umweltphysik, University of Heidelberg</s1>
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<fC01 i1="01" l="ENG"><s0>Tropospheric NO<sub>2</sub>
columns derived from measurements by the GOME satellite instrument have been compared with calculations from the global chemistry-transport model MOZART, in order to gain insights into the distribution and fate of atmospheric NO<sub>2</sub>
. The measured and modelled NO<sub>2</sub>
columns show similar spatial and seasonal patterns, with large tropospheric column amounts over industrialized areas and small column amounts over remote areas. The comparison of the absolute values of the measured and modelled tropospheric columns are particularly dependent upon uncertainties in the derivation of the tropospheric NO<sub>2</sub>
columns from GOME and the difficulty of modelling the boundary layer in global models. The measured tropospheric column amounts derived from GOME data are of the same order as those calculated by MOZART over the industrialized areas of the USA and Europe, but a factor of 2-3 larger for Asia. The modelled tropospheric NO<sub>2</sub>
columns as well as the columns measured by GOME are in good agreement with NO<sub>2</sub>
columns derived from observed NO<sub>2</sub>
mixing ratios in the boundary layer in eastern North America. In the near future it is expected that the GOME NO<sub>2</sub>
columns can be used to identify "hot spots" of regional air pollution on a global map, useful for assessment studies.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>001D16C02</s0>
</fC02>
<fC02 i1="02" i2="X"><s0>001E02D04</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Troposphère</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Troposphere</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Troposfera</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Pollution air</s0>
<s5>08</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Air pollution</s0>
<s5>08</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Contaminación aire</s0>
<s5>08</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Qualité air</s0>
<s5>09</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Air quality</s0>
<s5>09</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Calidad aire</s0>
<s5>09</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Azote dioxyde</s0>
<s2>NK</s2>
<s2>FX</s2>
<s5>11</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Nitrogen dioxide</s0>
<s2>NK</s2>
<s2>FX</s2>
<s5>11</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Nitrógeno dióxido</s0>
<s2>NK</s2>
<s2>FX</s2>
<s5>11</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Teneur</s0>
<s5>12</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Content</s0>
<s5>12</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Proporción</s0>
<s5>12</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Variation temporelle</s0>
<s5>13</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Time variation</s0>
<s5>13</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Variación temporal</s0>
<s5>13</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Variation spatiale</s0>
<s5>14</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Spatial variation</s0>
<s5>14</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Variación espacial</s0>
<s5>14</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Surveillance</s0>
<s5>15</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Surveillance</s0>
<s5>15</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Vigilancia</s0>
<s5>15</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE"><s0>Télédétection</s0>
<s5>16</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG"><s0>Remote sensing</s0>
<s5>16</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA"><s0>Teledetección</s0>
<s5>16</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Observation par satellite</s0>
<s5>17</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Satellite observation</s0>
<s5>17</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Observación por satélite</s0>
<s5>17</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Modélisation</s0>
<s5>18</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Modeling</s0>
<s5>18</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Modelización</s0>
<s5>18</s5>
</fC03>
<fN21><s1>037</s1>
</fN21>
</pA>
</standard>
<server><NO>PASCAL 02-0074706 INIST</NO>
<ET>Model derived tropospheric NO<sub>2</sub>
columns compared with GOME measurements</ET>
<AU>VELDERS (G. J. M.); GRANIER (C.); PORTMANN (R. W.); PFEILSTICKER (K.); WENIG (M.); WAGNER (T.); LEUE (C.); PLATT (U.); RICHTER (A.); BURROWS (J. P.); LONGHURST (J.W.S.); BREBBIA (C.A.); POWER (H.)</AU>
<AF>Air Research Laboratory, National Institute of Public Health and the Environment/Bilthoven/Pays-Bas (1 aut.); Aeronomy Laboratory, NOAA/Boulder/Etats-Unis (1 aut., 2 aut., 3 aut., 4 aut.); Service d'Aéronomie CNRS/Paris/France (2 aut.); CIRES, University of Colorado/Boulder/Etats-Unis (2 aut.); Institut für Umweltphysik, University of Heidelberg/Allemagne (4 aut., 5 aut., 6 aut., 7 aut., 8 aut.); Institute of Environmental Physics, University of Bremen/Allemagne (9 aut., 10 aut.)</AF>
<DT>Congrès; Niveau analytique</DT>
<SO>International conference on air pollution/8/2000/Cambridge GBR; Royaume-Uni; Southampton: WIT Press; Da. 2000; Pp. 463-472; ISBN 1-85312-822-8</SO>
<LA>Anglais</LA>
<EA>Tropospheric NO<sub>2</sub>
columns derived from measurements by the GOME satellite instrument have been compared with calculations from the global chemistry-transport model MOZART, in order to gain insights into the distribution and fate of atmospheric NO<sub>2</sub>
. The measured and modelled NO<sub>2</sub>
columns show similar spatial and seasonal patterns, with large tropospheric column amounts over industrialized areas and small column amounts over remote areas. The comparison of the absolute values of the measured and modelled tropospheric columns are particularly dependent upon uncertainties in the derivation of the tropospheric NO<sub>2</sub>
columns from GOME and the difficulty of modelling the boundary layer in global models. The measured tropospheric column amounts derived from GOME data are of the same order as those calculated by MOZART over the industrialized areas of the USA and Europe, but a factor of 2-3 larger for Asia. The modelled tropospheric NO<sub>2</sub>
columns as well as the columns measured by GOME are in good agreement with NO<sub>2</sub>
columns derived from observed NO<sub>2</sub>
mixing ratios in the boundary layer in eastern North America. In the near future it is expected that the GOME NO<sub>2</sub>
columns can be used to identify "hot spots" of regional air pollution on a global map, useful for assessment studies.</EA>
<CC>001D16C02; 001E02D04</CC>
<FD>Troposphère; Pollution air; Qualité air; Azote dioxyde; Teneur; Variation temporelle; Variation spatiale; Surveillance; Télédétection; Observation par satellite; Modélisation</FD>
<ED>Troposphere; Air pollution; Air quality; Nitrogen dioxide; Content; Time variation; Spatial variation; Surveillance; Remote sensing; Satellite observation; Modeling</ED>
<SD>Troposfera; Contaminación aire; Calidad aire; Nitrógeno dióxido; Proporción; Variación temporal; Variación espacial; Vigilancia; Teledetección; Observación por satélite; Modelización</SD>
<LO>INIST-Y 33598.354000097037380470</LO>
<ID>02-0074706</ID>
</server>
</inist>
</record>
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