000004708 001__ 4708
000004708 005__ 20240712100946.0
000004708 0247_ $$2DOI$$a10.1029/2008JD010369
000004708 0247_ $$2WOS$$aWOS:000267643000001
000004708 0247_ $$2ISSN$$a0141-8637
000004708 0247_ $$2Handle$$a2128/20439
000004708 037__ $$aPreJuSER-4708
000004708 041__ $$aeng
000004708 082__ $$a550
000004708 084__ $$2WoS$$aMeteorology & Atmospheric Sciences
000004708 1001_ $$0P:(DE-HGF)0$$aHoelzemann, J.J.$$b0
000004708 245__ $$aRegional representativity of AERONET observation sites during the biomass burning season in South America determined by correlation studies with MODIS Aerosol Optical Depth
000004708 260__ $$aWashington, DC$$bUnion$$c2009
000004708 300__ $$aD13301
000004708 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
000004708 3367_ $$2DataCite$$aOutput Types/Journal article
000004708 3367_ $$00$$2EndNote$$aJournal Article
000004708 3367_ $$2BibTeX$$aARTICLE
000004708 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000004708 3367_ $$2DRIVER$$aarticle
000004708 440_0 $$06393$$aJournal of Geophysical Research D: Atmospheres$$v114$$x0148-0227
000004708 500__ $$aJudith Hoelzemann is funded by the Brazilian "Fundacao de Amparo a Pesquisa do Estado de Sao Paulo'' (FAPESP) under grant 05/60890-3. This work was carried out with support by FAPESP project (2008/06822-4) and the InterAmerican Institute for Global Change Research (IAI) CRN II 2017, supported by the U.S. National Science Foundation ( grant GEO-0452325). We thank the AERONET principal investigators Brent Holben, Paulo Artaxo, and Enio B. Pereira and their staff for establishing and maintaining the South American sites used in this investigation, the NASA/MODAPS team for providing the whole suite of MODIS collection 5 data, the NASA/MOVAS/ Giovanni team at GES DISC for provision of gridded MODIS data, and two anonymous reviewers who provided very helpful comments that contributed substantially to improve this paper.
000004708 520__ $$aThis paper presents an analysis of ground-based Aerosol Optical Depth (AOD) observations by the Aerosol Robotic Network (AERONET) in South America from 2001 to 2007 in comparison with the satellite AOD product of Moderate Resolution Imaging Spectroradiometer (MODIS), aboard TERRA and AQUA satellites. Data of 12 observation sites were used with primary interest in AERONET sites located in or downwind of areas with high biomass burning activity and with measurements available for the full time range. Fires cause the predominant carbonaceous aerosol emission signal during the dry season in South America and are therefore a special focus of this study. Interannual and seasonal behavior of the observed AOD at different sites were investigated, showing clear differences between purely fire and urban influenced sites. An intercomparison of AERONET and MODIS AOD annual correlations revealed that neither an interannual long-term trend may be observed nor that correlations differ significantly owing to different overpass times of TERRA and AQUA. Individual anisotropic representativity areas for each AERONET site were derived by correlating daily AOD of each site for all years with available individual MODIS AOD pixels gridded to 1 degrees x 1 degrees. Results showed that for many sites a good AOD correlation (R-2 > 0.5) persists for large, often strongly anisotropic, areas. The climatological areas of common regional aerosol regimes often extend over several hundreds of kilometers, sometimes far across national boundaries. As a practical application, these strongly inhomogeneous and anisotropic areas of influence are being implemented in the tropospheric aerosol data assimilation system of the Coupled Chemistry-Aerosol-Tracer Transport Model coupled to the Brazilian Regional Atmospheric Modeling System (CCATT-BRAMS) at the Brazilian National Institute for Space Research (INPE). This new information promises an improved exploitation of local site sampling and, thus, chemical weather forecast.
000004708 536__ $$0G:(DE-Juel1)FUEK406$$2G:(DE-HGF)$$aAtmosphäre und Klima$$cP22$$x0
000004708 588__ $$aDataset connected to Web of Science
000004708 650_7 $$2WoSType$$aJ
000004708 7001_ $$0P:(DE-HGF)0$$aLongo, K.M.$$b1
000004708 7001_ $$0P:(DE-HGF)0$$aFonseca, R.M.$$b2
000004708 7001_ $$0P:(DE-HGF)0$$ado Rosario, N.M.E.$$b3
000004708 7001_ $$0P:(DE-Juel1)129194$$aElbern, H.$$b4$$uFZJ
000004708 7001_ $$0P:(DE-HGF)0$$aFeitas, S.R.$$b5
000004708 7001_ $$0P:(DE-HGF)0$$aPires, C.$$b6
000004708 773__ $$0PERI:(DE-600)2016800-7$$a10.1029/2008JD010369$$gVol. 114, p. D13301$$pD13301$$q114<D13301$$tJournal of geophysical research / Atmospheres$$tJournal of Geophysical Research$$v114$$x0148-0227$$y2009
000004708 8567_ $$uhttp://dx.doi.org/10.1029/2008JD010369
000004708 8564_ $$uhttps://juser.fz-juelich.de/record/4708/files/hoelzemann_regional.pdf$$yOpenAccess
000004708 8564_ $$uhttps://juser.fz-juelich.de/record/4708/files/hoelzemann_regional.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000004708 909CO $$ooai:juser.fz-juelich.de:4708$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000004708 9141_ $$y2009
000004708 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000004708 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR
000004708 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000004708 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000004708 915__ $$0StatID:(DE-HGF)0010$$2StatID$$aJCR/ISI refereed
000004708 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer review
000004708 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000004708 9131_ $$0G:(DE-Juel1)FUEK406$$aDE-HGF$$bUmwelt$$kP22$$lAtmosphäre und Klima$$vAtmosphäre und Klima$$x0$$zfortgesetzt als P23
000004708 9201_ $$0I:(DE-Juel1)VDB791$$d30.09.2010$$gICG$$kICG-2$$lTroposphäre$$x1
000004708 970__ $$aVDB:(DE-Juel1)111898
000004708 9801_ $$aFullTexts
000004708 980__ $$aVDB
000004708 980__ $$aConvertedRecord
000004708 980__ $$ajournal
000004708 980__ $$aI:(DE-Juel1)IEK-8-20101013
000004708 980__ $$aUNRESTRICTED
000004708 981__ $$aI:(DE-Juel1)ICE-3-20101013
000004708 981__ $$aI:(DE-Juel1)IEK-8-20101013