Application of DARLAM to regional haze modeling
The CSIRO Division of Atmospheric Research limited area model (DARLAM) is applied to atmospheric transport modeling of haze in southeast Asia. The 1998 haze episode is simulated using an emission inventory derived from hotspot information and adopting removal processes based on SO sub(2). Results sh...
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Veröffentlicht in: | Pure and Applied Geophysics 2003, Vol.160 (1-2), p.189-204 |
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creator | KOE, Lawrence C. C ARELLANO, Avelino F MCGREGOR, John L |
description | The CSIRO Division of Atmospheric Research limited area model (DARLAM) is applied to atmospheric transport modeling of haze in southeast Asia. The 1998 haze episode is simulated using an emission inventory derived from hotspot information and adopting removal processes based on SO sub(2). Results show that the model is able to simulate the transport of haze in the region. The model images closely resemble the plumes of NASA Total Ozone Mapping Spectrometer and Meteorological Service Singapore haze maps. Despite the limitation of input data, particularly for haze emissions, the three-month average pattern correlation obtained for the whole episode is 0.61. The model has also been able to reproduce the general features of transboundary air pollution over a long period of time. Predicted total particulate matter concentration also agrees reasonably well with observation. The difference in the model results from the satellite images may be attributed to the large uncertainties of emission, simplification of haze deposition and transformation mechanisms and the relatively coarse horizontal and vertical resolution adopted for this particular simulation. |
doi_str_mv | 10.1007/s00024-003-8772-9 |
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Predicted total particulate matter concentration also agrees reasonably well with observation. The difference in the model results from the satellite images may be attributed to the large uncertainties of emission, simplification of haze deposition and transformation mechanisms and the relatively coarse horizontal and vertical resolution adopted for this particular simulation.</description><identifier>ISSN: 0033-4553</identifier><identifier>EISSN: 1420-9136</identifier><identifier>DOI: 10.1007/s00024-003-8772-9</identifier><identifier>CODEN: PAGYAV</identifier><language>eng</language><publisher>Basel: Springer</publisher><subject>Air pollution ; Applied sciences ; Atmospheric pollution ; Atmospheric research ; Biomass ; Earth, ocean, space ; Emission inventories ; Exact sciences and technology ; External geophysics ; Haze ; Meteorology ; Ozone ; Particles and aerosols ; Particulate matter ; Pollutants physicochemistry study: properties, effects, reactions, transport and distribution ; Pollution ; Simulation ; Sulfur dioxide ; Transboundary pollution</subject><ispartof>Pure and Applied Geophysics, 2003, Vol.160 (1-2), p.189-204</ispartof><rights>2003 INIST-CNRS</rights><rights>Birkhäuser Verlag Basel 2003</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-10d6d5be5f36017435304b363c202faabaa2cf91ae355a8d7e368a7a7afd248b3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,776,780,785,786,4036,4037,23909,23910,25118,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14462882$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>KOE, Lawrence C. 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The model has also been able to reproduce the general features of transboundary air pollution over a long period of time. Predicted total particulate matter concentration also agrees reasonably well with observation. The difference in the model results from the satellite images may be attributed to the large uncertainties of emission, simplification of haze deposition and transformation mechanisms and the relatively coarse horizontal and vertical resolution adopted for this particular simulation.</description><subject>Air pollution</subject><subject>Applied sciences</subject><subject>Atmospheric pollution</subject><subject>Atmospheric research</subject><subject>Biomass</subject><subject>Earth, ocean, space</subject><subject>Emission inventories</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Haze</subject><subject>Meteorology</subject><subject>Ozone</subject><subject>Particles and aerosols</subject><subject>Particulate matter</subject><subject>Pollutants physicochemistry study: properties, effects, reactions, transport and distribution</subject><subject>Pollution</subject><subject>Simulation</subject><subject>Sulfur dioxide</subject><subject>Transboundary pollution</subject><issn>0033-4553</issn><issn>1420-9136</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqFkU1LxDAQhoMouK7-AG9FULzEnXwnx-I3rAii55Cm6dql29ame9Bfb5ZdEDwocxiYeeadYV6ETglcEQA1iwBAOQZgWCtFsdlDE8IpYEOY3EeT1GCYC8EO0VGMSwCilDATNMv7vqm9G-uuzboqu8lf5vlTNnbZEBap5prs3X2FbNWVoanbxTE6qFwTw8kuT9Hb3e3r9QOeP98_Xudz7JlRIyZQylIUQVRMplWcCQa8YJJ5CrRyrnCO-soQF5gQTpcqMKmdSlGVlOuCTdHlVrcfuo91iKNd1dGHpnFt6NbREq2EFoSDSejF36iSSqX3_K8JxEgBRtGEnv1Cl916SN-I1lApBAGjE0S2kB-6GIdQ2X6oV274TEp244rdumLTbrtxxW6OPd8Ju-hdUw2u9XX8GeRcUq0p-wYc-4kB</recordid><startdate>2003</startdate><enddate>2003</enddate><creator>KOE, Lawrence C. 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C</au><au>ARELLANO, Avelino F</au><au>MCGREGOR, John L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of DARLAM to regional haze modeling</atitle><jtitle>Pure and Applied Geophysics</jtitle><date>2003</date><risdate>2003</risdate><volume>160</volume><issue>1-2</issue><spage>189</spage><epage>204</epage><pages>189-204</pages><issn>0033-4553</issn><eissn>1420-9136</eissn><coden>PAGYAV</coden><abstract>The CSIRO Division of Atmospheric Research limited area model (DARLAM) is applied to atmospheric transport modeling of haze in southeast Asia. The 1998 haze episode is simulated using an emission inventory derived from hotspot information and adopting removal processes based on SO sub(2). Results show that the model is able to simulate the transport of haze in the region. The model images closely resemble the plumes of NASA Total Ozone Mapping Spectrometer and Meteorological Service Singapore haze maps. Despite the limitation of input data, particularly for haze emissions, the three-month average pattern correlation obtained for the whole episode is 0.61. The model has also been able to reproduce the general features of transboundary air pollution over a long period of time. Predicted total particulate matter concentration also agrees reasonably well with observation. The difference in the model results from the satellite images may be attributed to the large uncertainties of emission, simplification of haze deposition and transformation mechanisms and the relatively coarse horizontal and vertical resolution adopted for this particular simulation.</abstract><cop>Basel</cop><pub>Springer</pub><doi>10.1007/s00024-003-8772-9</doi><tpages>16</tpages></addata></record> |
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subjects | Air pollution Applied sciences Atmospheric pollution Atmospheric research Biomass Earth, ocean, space Emission inventories Exact sciences and technology External geophysics Haze Meteorology Ozone Particles and aerosols Particulate matter Pollutants physicochemistry study: properties, effects, reactions, transport and distribution Pollution Simulation Sulfur dioxide Transboundary pollution |
title | Application of DARLAM to regional haze modeling |
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