Improved albedo formulation for chemistry transport models based on satellite observations and assimilated snow data and its impact on tropospheric photochemistry
Identifieur interne : 000175 ( PascalFrancis/Corpus ); précédent : 000174; suivant : 000176Improved albedo formulation for chemistry transport models based on satellite observations and assimilated snow data and its impact on tropospheric photochemistry
Auteurs : T. Laepple ; M. G. Schultz ; J. F. Lamarque ; S. Madronich ; R. E. Shetter ; B. L. Lefer ; E. AtlasSource :
- Journal of geophysical research [ 0148-0227 ] ; 2005.
Descripteurs français
- Pascal (Inist)
- Albedo, Transport, Modèle, Observation par satellite, Neige, Troposphère, Photochimie, Paramétrisation, Monde, Occupation sol, Classification, Variation interannuelle, Couverture neige, Variabilité, Fraction fine, Carte occupation sol, Ozone, Surveillance, Etude expérimentale, Prévision météorologique, Constante vitesse, Région Subarctique, Upwelling, Downwelling.
English descriptors
- KwdEn :
- Interannual variation, Parameterization, Rate constant, Satellite observation, Snow cover, Variability, Weather forecast, albedo, classification, downwelling, experimental studies, fine-grained materials, global, land cover, land cover maps, models, monitoring, ozone, photochemistry, snow, subarctic regions, transport, troposphere, upwelling.
Abstract
[1] Present parameterizations of the UV surface albedo in global chemistry transport models are generally based on a crude land cover classification and do not account for interannual variations of the snow-covered surface or the large variability in the albedo of snow-covered surfaces. We developed an improved scheme based on 2 years of Moderate-Resolution Imaging Spectroradiometer (MODIS) albedo data, a fine-resolution MODIS land cover map, Global Ozone Monitoring Experiment (GOME) albedo data, and daily assimilated snow cover maps from the European Centre for Medium-Range Weather Forecasts or the National Centers for Environmental Prediction. The new parameterization improves the calculation of photolysis frequencies in particular in the subarctic region as shown by a comparison of the calculated ratio of upwelling and downwelling actinic fluxes with spectral measurements from the Tropospheric Ozone Production About Spring Equinox (TOPSE) campaign (January-May 2000). The impact of surface albedo changes on tropospheric photochemistry has been investigated using the global MOZART-2 chemistry transport model. Compared with the original model version, the surface albedo changes alter the tropospheric oxidizing capacity (OH concentrations) between -20 and +200% locally and +5% in the global annual mean. About half of this change results from a new value adapted for the ocean UV albedo. Locally, NOx concentrations were found to decrease by up to 40% and were most pronounced where the snow boundary crosses the high-emission regions in Europe, North America, and Asia. The interannual variability of snow and sea ice cover can lead to changes in the global tropospheric OH-concentration of 0.5%, which is of similar magnitude compared with the impacts of varying water vapor, transport, ozone column, and emissions as discussed in previous studies.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
| pA |
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|---|
Format Inist (serveur)
| NO : | PASCAL 05-0325164 INIST |
|---|---|
| ET : | Improved albedo formulation for chemistry transport models based on satellite observations and assimilated snow data and its impact on tropospheric photochemistry |
| AU : | LAEPPLE (T.); SCHULTZ (M. G.); LAMARQUE (J. F.); MADRONICH (S.); SHETTER (R. E.); LEFER (B. L.); ATLAS (E.) |
| AF : | Max Planck Institute for Meteorology/Hamburg/Allemagne (1 aut., 2 aut.); Atmospheric Chemistry Division, National Center for Atmospheric Research/Boulder, Colorado/Etats-Unis (3 aut., 4 aut., 5 aut., 6 aut., 7 aut.) |
| DT : | Publication en série; Niveau analytique |
| SO : | Journal of geophysical research; ISSN 0148-0227; Etats-Unis; Da. 2005; Vol. 110; No. D11; D11308.1-D11308.12; Bibl. 44 ref. |
| LA : | Anglais |
| EA : | [1] Present parameterizations of the UV surface albedo in global chemistry transport models are generally based on a crude land cover classification and do not account for interannual variations of the snow-covered surface or the large variability in the albedo of snow-covered surfaces. We developed an improved scheme based on 2 years of Moderate-Resolution Imaging Spectroradiometer (MODIS) albedo data, a fine-resolution MODIS land cover map, Global Ozone Monitoring Experiment (GOME) albedo data, and daily assimilated snow cover maps from the European Centre for Medium-Range Weather Forecasts or the National Centers for Environmental Prediction. The new parameterization improves the calculation of photolysis frequencies in particular in the subarctic region as shown by a comparison of the calculated ratio of upwelling and downwelling actinic fluxes with spectral measurements from the Tropospheric Ozone Production About Spring Equinox (TOPSE) campaign (January-May 2000). The impact of surface albedo changes on tropospheric photochemistry has been investigated using the global MOZART-2 chemistry transport model. Compared with the original model version, the surface albedo changes alter the tropospheric oxidizing capacity (OH concentrations) between -20 and +200% locally and +5% in the global annual mean. About half of this change results from a new value adapted for the ocean UV albedo. Locally, NOx concentrations were found to decrease by up to 40% and were most pronounced where the snow boundary crosses the high-emission regions in Europe, North America, and Asia. The interannual variability of snow and sea ice cover can lead to changes in the global tropospheric OH-concentration of 0.5%, which is of similar magnitude compared with the impacts of varying water vapor, transport, ozone column, and emissions as discussed in previous studies. |
| CC : | 220; 001E; 001E01 |
| FD : | Albedo; Transport; Modèle; Observation par satellite; Neige; Troposphère; Photochimie; Paramétrisation; Monde; Occupation sol; Classification; Variation interannuelle; Couverture neige; Variabilité; Fraction fine; Carte occupation sol; Ozone; Surveillance; Etude expérimentale; Prévision météorologique; Constante vitesse; Région Subarctique; Upwelling; Downwelling |
| ED : | albedo; transport; models; Satellite observation; snow; troposphere; photochemistry; Parameterization; global; land cover; classification; Interannual variation; Snow cover; Variability; fine-grained materials; land cover maps; ozone; monitoring; experimental studies; Weather forecast; Rate constant; subarctic regions; upwelling; downwelling |
| SD : | Albedo; Transporte; Modelo; Observación por satélite; Nieve; Parametrización; Mundo; Clasificación; Variación interanual; Cubierta nieve; Variabilidad; Fracción fina; Ozono; Vigilancia; Previsión meteorológica; Constante velocidad; Región Subártico; Corriente ascendente |
| LO : | INIST-3144.354000132267420320 |
| ID : | 05-0325164 |
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Pascal:05-0325164Le document en format XML
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Laepple</name><affiliation><inist:fA14 i1="01"><s1>Max Planck Institute for Meteorology</s1><s2>Hamburg</s2><s3>DEU</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Schultz, M G" sort="Schultz, M G" uniqKey="Schultz M" first="M. G." last="Schultz">M. G. Schultz</name><affiliation><inist:fA14 i1="01"><s1>Max Planck Institute for Meteorology</s1><s2>Hamburg</s2><s3>DEU</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Lamarque, J F" sort="Lamarque, J F" uniqKey="Lamarque J" first="J. F." last="Lamarque">J. F. Lamarque</name><affiliation><inist:fA14 i1="02"><s1>Atmospheric Chemistry Division, National Center for Atmospheric Research</s1><s2>Boulder, Colorado</s2><s3>USA</s3><sZ>3 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ><sZ>6 aut.</sZ><sZ>7 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Madronich, S" sort="Madronich, S" uniqKey="Madronich S" first="S." last="Madronich">S. Madronich</name><affiliation><inist:fA14 i1="02"><s1>Atmospheric Chemistry Division, National Center for Atmospheric Research</s1><s2>Boulder, Colorado</s2><s3>USA</s3><sZ>3 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ><sZ>6 aut.</sZ><sZ>7 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Shetter, R E" sort="Shetter, R E" uniqKey="Shetter R" first="R. E." last="Shetter">R. E. Shetter</name><affiliation><inist:fA14 i1="02"><s1>Atmospheric Chemistry Division, National Center for Atmospheric Research</s1><s2>Boulder, Colorado</s2><s3>USA</s3><sZ>3 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ><sZ>6 aut.</sZ><sZ>7 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Lefer, B L" sort="Lefer, B L" uniqKey="Lefer B" first="B. L." last="Lefer">B. L. Lefer</name><affiliation><inist:fA14 i1="02"><s1>Atmospheric Chemistry Division, National Center for Atmospheric Research</s1><s2>Boulder, Colorado</s2><s3>USA</s3><sZ>3 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ><sZ>6 aut.</sZ><sZ>7 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Atlas, E" sort="Atlas, E" uniqKey="Atlas E" first="E." last="Atlas">E. Atlas</name><affiliation><inist:fA14 i1="02"><s1>Atmospheric Chemistry Division, National Center for Atmospheric Research</s1><s2>Boulder, Colorado</s2><s3>USA</s3><sZ>3 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ><sZ>6 aut.</sZ><sZ>7 aut.</sZ></inist:fA14></affiliation></author></analytic><series><title level="j" type="main">Journal of geophysical research</title><title level="j" type="abbreviated">J. geophys. res.</title><idno type="ISSN">0148-0227</idno><imprint><date when="2005">2005</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Journal of geophysical research</title><title level="j" type="abbreviated">J. geophys. res.</title><idno type="ISSN">0148-0227</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Interannual variation</term><term>Parameterization</term><term>Rate constant</term><term>Satellite observation</term><term>Snow cover</term><term>Variability</term><term>Weather forecast</term><term>albedo</term><term>classification</term><term>downwelling</term><term>experimental studies</term><term>fine-grained materials</term><term>global</term><term>land cover</term><term>land cover maps</term><term>models</term><term>monitoring</term><term>ozone</term><term>photochemistry</term><term>snow</term><term>subarctic regions</term><term>transport</term><term>troposphere</term><term>upwelling</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Albedo</term><term>Transport</term><term>Modèle</term><term>Observation par satellite</term><term>Neige</term><term>Troposphère</term><term>Photochimie</term><term>Paramétrisation</term><term>Monde</term><term>Occupation sol</term><term>Classification</term><term>Variation interannuelle</term><term>Couverture neige</term><term>Variabilité</term><term>Fraction fine</term><term>Carte occupation sol</term><term>Ozone</term><term>Surveillance</term><term>Etude expérimentale</term><term>Prévision météorologique</term><term>Constante vitesse</term><term>Région Subarctique</term><term>Upwelling</term><term>Downwelling</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">[1] Present parameterizations of the UV surface albedo in global chemistry transport models are generally based on a crude land cover classification and do not account for interannual variations of the snow-covered surface or the large variability in the albedo of snow-covered surfaces. We developed an improved scheme based on 2 years of Moderate-Resolution Imaging Spectroradiometer (MODIS) albedo data, a fine-resolution MODIS land cover map, Global Ozone Monitoring Experiment (GOME) albedo data, and daily assimilated snow cover maps from the European Centre for Medium-Range Weather Forecasts or the National Centers for Environmental Prediction. The new parameterization improves the calculation of photolysis frequencies in particular in the subarctic region as shown by a comparison of the calculated ratio of upwelling and downwelling actinic fluxes with spectral measurements from the Tropospheric Ozone Production About Spring Equinox (TOPSE) campaign (January-May 2000). The impact of surface albedo changes on tropospheric photochemistry has been investigated using the global MOZART-2 chemistry transport model. Compared with the original model version, the surface albedo changes alter the tropospheric oxidizing capacity (OH concentrations) between -20 and +200% locally and +5% in the global annual mean. About half of this change results from a new value adapted for the ocean UV albedo. Locally, NO<sub>x</sub> concentrations were found to decrease by up to 40% and were most pronounced where the snow boundary crosses the high-emission regions in Europe, North America, and Asia. The interannual variability of snow and sea ice cover can lead to changes in the global tropospheric OH-concentration of 0.5%, which is of similar magnitude compared with the impacts of varying water vapor, transport, ozone column, and emissions as discussed in previous studies.</div></front></TEI><inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0148-0227</s0></fA01><fA03 i2="1"><s0>J. geophys. res.</s0></fA03><fA05><s2>110</s2></fA05><fA06><s2>D11</s2></fA06><fA08 i1="01" i2="1" l="ENG"><s1>Improved albedo formulation for chemistry transport models based on satellite observations and assimilated snow data and its impact on tropospheric photochemistry</s1></fA08><fA11 i1="01" i2="1"><s1>LAEPPLE (T.)</s1></fA11><fA11 i1="02" i2="1"><s1>SCHULTZ (M. G.)</s1></fA11><fA11 i1="03" i2="1"><s1>LAMARQUE (J. F.)</s1></fA11><fA11 i1="04" i2="1"><s1>MADRONICH (S.)</s1></fA11><fA11 i1="05" i2="1"><s1>SHETTER (R. E.)</s1></fA11><fA11 i1="06" i2="1"><s1>LEFER (B. L.)</s1></fA11><fA11 i1="07" i2="1"><s1>ATLAS (E.)</s1></fA11><fA14 i1="01"><s1>Max Planck Institute for Meteorology</s1><s2>Hamburg</s2><s3>DEU</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></fA14><fA14 i1="02"><s1>Atmospheric Chemistry Division, National Center for Atmospheric Research</s1><s2>Boulder, Colorado</s2><s3>USA</s3><sZ>3 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ><sZ>6 aut.</sZ><sZ>7 aut.</sZ></fA14><fA20><s2>D11308.1-D11308.12</s2></fA20><fA21><s1>2005</s1></fA21><fA23 i1="01"><s0>ENG</s0></fA23><fA43 i1="01"><s1>INIST</s1><s2>3144</s2><s5>354000132267420320</s5></fA43><fA44><s0>0000</s0><s1>© 2005 INIST-CNRS. All rights reserved.</s1></fA44><fA45><s0>44 ref.</s0></fA45><fA47 i1="01" i2="1"><s0>05-0325164</s0></fA47><fA60><s1>P</s1></fA60><fA61><s0>A</s0></fA61><fA64 i1="01" i2="1"><s0>Journal of geophysical research</s0></fA64><fA66 i1="01"><s0>USA</s0></fA66><fC01 i1="01" l="ENG"><s0>[1] Present parameterizations of the UV surface albedo in global chemistry transport models are generally based on a crude land cover classification and do not account for interannual variations of the snow-covered surface or the large variability in the albedo of snow-covered surfaces. We developed an improved scheme based on 2 years of Moderate-Resolution Imaging Spectroradiometer (MODIS) albedo data, a fine-resolution MODIS land cover map, Global Ozone Monitoring Experiment (GOME) albedo data, and daily assimilated snow cover maps from the European Centre for Medium-Range Weather Forecasts or the National Centers for Environmental Prediction. The new parameterization improves the calculation of photolysis frequencies in particular in the subarctic region as shown by a comparison of the calculated ratio of upwelling and downwelling actinic fluxes with spectral measurements from the Tropospheric Ozone Production About Spring Equinox (TOPSE) campaign (January-May 2000). The impact of surface albedo changes on tropospheric photochemistry has been investigated using the global MOZART-2 chemistry transport model. Compared with the original model version, the surface albedo changes alter the tropospheric oxidizing capacity (OH concentrations) between -20 and +200% locally and +5% in the global annual mean. About half of this change results from a new value adapted for the ocean UV albedo. Locally, NO<sub>x</sub> concentrations were found to decrease by up to 40% and were most pronounced where the snow boundary crosses the high-emission regions in Europe, North America, and Asia. The interannual variability of snow and sea ice cover can lead to changes in the global tropospheric OH-concentration of 0.5%, which is of similar magnitude compared with the impacts of varying water vapor, transport, ozone column, and emissions as discussed in previous studies.</s0></fC01><fC02 i1="01" i2="2"><s0>220</s0></fC02><fC02 i1="02" i2="3"><s0>001E</s0></fC02><fC02 i1="03" i2="2"><s0>001E01</s0></fC02><fC03 i1="01" i2="2" l="FRE"><s0>Albedo</s0><s5>01</s5></fC03><fC03 i1="01" i2="2" l="ENG"><s0>albedo</s0><s5>01</s5></fC03><fC03 i1="01" i2="2" l="SPA"><s0>Albedo</s0><s5>01</s5></fC03><fC03 i1="02" i2="2" l="FRE"><s0>Transport</s0><s5>03</s5></fC03><fC03 i1="02" i2="2" l="ENG"><s0>transport</s0><s5>03</s5></fC03><fC03 i1="02" i2="2" l="SPA"><s0>Transporte</s0><s5>03</s5></fC03><fC03 i1="03" i2="2" l="FRE"><s0>Modèle</s0><s5>04</s5></fC03><fC03 i1="03" i2="2" l="ENG"><s0>models</s0><s5>04</s5></fC03><fC03 i1="03" i2="2" l="SPA"><s0>Modelo</s0><s5>04</s5></fC03><fC03 i1="04" 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l="ENG"><s0>Variability</s0><s5>15</s5></fC03><fC03 i1="14" i2="X" l="SPA"><s0>Variabilidad</s0><s5>15</s5></fC03><fC03 i1="15" i2="2" l="FRE"><s0>Fraction fine</s0><s5>16</s5></fC03><fC03 i1="15" i2="2" l="ENG"><s0>fine-grained materials</s0><s5>16</s5></fC03><fC03 i1="15" i2="2" l="SPA"><s0>Fracción fina</s0><s5>16</s5></fC03><fC03 i1="16" i2="2" l="FRE"><s0>Carte occupation sol</s0><s5>17</s5></fC03><fC03 i1="16" i2="2" l="ENG"><s0>land cover maps</s0><s5>17</s5></fC03><fC03 i1="17" i2="2" l="FRE"><s0>Ozone</s0><s5>18</s5></fC03><fC03 i1="17" i2="2" l="ENG"><s0>ozone</s0><s5>18</s5></fC03><fC03 i1="17" i2="2" l="SPA"><s0>Ozono</s0><s5>18</s5></fC03><fC03 i1="18" i2="2" l="FRE"><s0>Surveillance</s0><s5>19</s5></fC03><fC03 i1="18" i2="2" l="ENG"><s0>monitoring</s0><s5>19</s5></fC03><fC03 i1="18" i2="2" l="SPA"><s0>Vigilancia</s0><s5>19</s5></fC03><fC03 i1="19" i2="2" l="FRE"><s0>Etude expérimentale</s0><s5>20</s5></fC03><fC03 i1="19" i2="2" l="ENG"><s0>experimental studies</s0><s5>20</s5></fC03><fC03 i1="20" i2="X" l="FRE"><s0>Prévision météorologique</s0><s5>21</s5></fC03><fC03 i1="20" i2="X" l="ENG"><s0>Weather forecast</s0><s5>21</s5></fC03><fC03 i1="20" i2="X" l="SPA"><s0>Previsión meteorológica</s0><s5>21</s5></fC03><fC03 i1="21" i2="X" l="FRE"><s0>Constante vitesse</s0><s5>22</s5></fC03><fC03 i1="21" i2="X" l="ENG"><s0>Rate constant</s0><s5>22</s5></fC03><fC03 i1="21" i2="X" l="SPA"><s0>Constante velocidad</s0><s5>22</s5></fC03><fC03 i1="22" i2="2" l="FRE"><s0>Région Subarctique</s0><s5>23</s5></fC03><fC03 i1="22" i2="2" l="ENG"><s0>subarctic regions</s0><s5>23</s5></fC03><fC03 i1="22" i2="2" l="SPA"><s0>Región Subártico</s0><s5>23</s5></fC03><fC03 i1="23" i2="2" l="FRE"><s0>Upwelling</s0><s5>24</s5></fC03><fC03 i1="23" i2="2" l="ENG"><s0>upwelling</s0><s5>24</s5></fC03><fC03 i1="23" i2="2" l="SPA"><s0>Corriente ascendente</s0><s5>24</s5></fC03><fC03 i1="24" i2="2" l="FRE"><s0>Downwelling</s0><s5>25</s5></fC03><fC03 i1="24" i2="2" l="ENG"><s0>downwelling</s0><s5>25</s5></fC03><fN21><s1>227</s1></fN21><fN44 i1="01"><s1>OTO</s1></fN44><fN82><s1>OTO</s1></fN82></pA></standard><server><NO>PASCAL 05-0325164 INIST</NO><ET>Improved albedo formulation for chemistry transport models based on satellite observations and assimilated snow data and its impact on tropospheric photochemistry</ET><AU>LAEPPLE (T.); SCHULTZ (M. G.); LAMARQUE (J. F.); MADRONICH (S.); SHETTER (R. E.); LEFER (B. L.); ATLAS (E.)</AU><AF>Max Planck Institute for Meteorology/Hamburg/Allemagne (1 aut., 2 aut.); Atmospheric Chemistry Division, National Center for Atmospheric Research/Boulder, Colorado/Etats-Unis (3 aut., 4 aut., 5 aut., 6 aut., 7 aut.)</AF><DT>Publication en série; Niveau analytique</DT><SO>Journal of geophysical research; ISSN 0148-0227; Etats-Unis; Da. 2005; Vol. 110; No. D11; D11308.1-D11308.12; Bibl. 44 ref.</SO><LA>Anglais</LA><EA>[1] Present parameterizations of the UV surface albedo in global chemistry transport models are generally based on a crude land cover classification and do not account for interannual variations of the snow-covered surface or the large variability in the albedo of snow-covered surfaces. We developed an improved scheme based on 2 years of Moderate-Resolution Imaging Spectroradiometer (MODIS) albedo data, a fine-resolution MODIS land cover map, Global Ozone Monitoring Experiment (GOME) albedo data, and daily assimilated snow cover maps from the European Centre for Medium-Range Weather Forecasts or the National Centers for Environmental Prediction. The new parameterization improves the calculation of photolysis frequencies in particular in the subarctic region as shown by a comparison of the calculated ratio of upwelling and downwelling actinic fluxes with spectral measurements from the Tropospheric Ozone Production About Spring Equinox (TOPSE) campaign (January-May 2000). The impact of surface albedo changes on tropospheric photochemistry has been investigated using the global MOZART-2 chemistry transport model. Compared with the original model version, the surface albedo changes alter the tropospheric oxidizing capacity (OH concentrations) between -20 and +200% locally and +5% in the global annual mean. About half of this change results from a new value adapted for the ocean UV albedo. Locally, NO<sub>x</sub> concentrations were found to decrease by up to 40% and were most pronounced where the snow boundary crosses the high-emission regions in Europe, North America, and Asia. The interannual variability of snow and sea ice cover can lead to changes in the global tropospheric OH-concentration of 0.5%, which is of similar magnitude compared with the impacts of varying water vapor, transport, ozone column, and emissions as discussed in previous studies.</EA><CC>220; 001E; 001E01</CC><FD>Albedo; Transport; Modèle; Observation par satellite; Neige; Troposphère; Photochimie; Paramétrisation; Monde; Occupation sol; Classification; Variation interannuelle; Couverture neige; Variabilité; Fraction fine; Carte occupation sol; Ozone; Surveillance; Etude expérimentale; Prévision météorologique; Constante vitesse; Région Subarctique; Upwelling; Downwelling</FD><ED>albedo; transport; models; Satellite observation; snow; troposphere; photochemistry; Parameterization; global; land cover; classification; Interannual variation; Snow cover; Variability; fine-grained materials; land cover maps; ozone; monitoring; experimental studies; Weather forecast; Rate constant; subarctic regions; upwelling; downwelling</ED><SD>Albedo; Transporte; Modelo; Observación por satélite; Nieve; Parametrización; Mundo; Clasificación; Variación interanual; Cubierta nieve; Variabilidad; Fracción fina; Ozono; Vigilancia; Previsión meteorológica; Constante velocidad; Región Subártico; Corriente ascendente</SD><LO>INIST-3144.354000132267420320</LO><ID>05-0325164</ID></server></inist></record>Pour manipuler ce document sous Unix (Dilib)
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