{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1361137044348476544.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1029/2006jd007811"}},{"identifier":{"@type":"URI","@value":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1029%2F2006JD007811"}},{"identifier":{"@type":"URI","@value":"https://onlinelibrary.wiley.com/doi/pdf/10.1029/2006JD007811"}},{"identifier":{"@type":"URI","@value":"https://onlinelibrary.wiley.com/doi/full-xml/10.1029/2006JD007811"}},{"identifier":{"@type":"URI","@value":"https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2006JD007811"}}],"dc:title":[{"@value":"Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:p>Since first light in early 2000, operational global quantitative retrievals of aerosol properties over land have been made from Moderate Resolution Imaging Spectroradiometer (MODIS) observed spectral reflectance. These products have been continuously evaluated and validated, and opportunities for improvements have been noted. We have replaced the surface reflectance assumptions, the set of aerosol model optical properties, and the aerosol lookup table (LUT). This second‐generation operational algorithm performs a simultaneous inversion of two visible (0.47 and 0.66 <jats:italic>μ</jats:italic>m) and one shortwave‐IR (2.12 <jats:italic>μ</jats:italic>m) channel, making use of the coarse aerosol information content contained in the 2.12 <jats:italic>μ</jats:italic>m channel. Inversion of the three channels yields three nearly independent parameters, the aerosol optical depth (<jats:italic>τ</jats:italic>) at 0.55 <jats:italic>μ</jats:italic>m, the nondust or fine weighting (<jats:italic>η</jats:italic>), and the surface reflectance at 2.12 <jats:italic>μ</jats:italic>m. Retrievals of small‐magnitude negative <jats:italic>τ</jats:italic> values (down to −0.05) are considered valid, thus balancing the statistics of <jats:italic>τ</jats:italic> in near zero <jats:italic>τ</jats:italic> conditions. Preliminary validation of this algorithm shows much improved retrievals of <jats:italic>τ</jats:italic>, where the MODIS/Aerosol Robotic Network <jats:italic>τ</jats:italic> (at 0.55 <jats:italic>μ</jats:italic>m) regression has an equation of: y = 1.01x + 0.03, R = 0.90. Global mean <jats:italic>τ</jats:italic> for the test bed is reduced from ∼0.28 to ∼0.21.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1381137044348476547","@type":"Researcher","foaf:name":[{"@value":"Robert C. Levy"}],"jpcoar:affiliationName":[{"@value":"Science Systems and Applications Inc.  Lanham Maryland USA"},{"@value":"Laboratory for Atmospheres NASA Goddard Space Flight Center  Greenbelt Maryland USA"},{"@value":"Department of Atmospheric and Oceanic Science University of Maryland  College Park Maryland USA"}]},{"@id":"https://cir.nii.ac.jp/crid/1381137044348476546","@type":"Researcher","foaf:name":[{"@value":"Lorraine A. Remer"}],"jpcoar:affiliationName":[{"@value":"Laboratory for Atmospheres NASA Goddard Space Flight Center  Greenbelt Maryland USA"}]},{"@id":"https://cir.nii.ac.jp/crid/1381137044348476544","@type":"Researcher","foaf:name":[{"@value":"Shana Mattoo"}],"jpcoar:affiliationName":[{"@value":"Science Systems and Applications Inc.  Lanham Maryland USA"},{"@value":"Laboratory for Atmospheres NASA Goddard Space Flight Center  Greenbelt Maryland USA"}]},{"@id":"https://cir.nii.ac.jp/crid/1381137044348476672","@type":"Researcher","foaf:name":[{"@value":"Eric F. Vermote"}],"jpcoar:affiliationName":[{"@value":"Department of Geography University of Maryland  College Park Maryland USA"}]},{"@id":"https://cir.nii.ac.jp/crid/1381137044348476545","@type":"Researcher","foaf:name":[{"@value":"Yoram J. Kaufman"}],"jpcoar:affiliationName":[{"@value":"Laboratory for Atmospheres NASA Goddard Space Flight Center  Greenbelt Maryland USA"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"01480227"}],"prism:publicationName":[{"@value":"Journal of Geophysical Research: Atmospheres"}],"dc:publisher":[{"@value":"American Geophysical Union (AGU)"}],"prism:publicationDate":"2007-07-13","prism:volume":"112","prism:number":"D13","prism:startingPage":"D13211"},"reviewed":"false","dc:rights":["http://onlinelibrary.wiley.com/termsAndConditions#vor"],"url":[{"@id":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1029%2F2006JD007811"},{"@id":"https://onlinelibrary.wiley.com/doi/pdf/10.1029/2006JD007811"},{"@id":"https://onlinelibrary.wiley.com/doi/full-xml/10.1029/2006JD007811"},{"@id":"https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2006JD007811"}],"createdAt":"2007-07-12","modifiedAt":"2023-08-30","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1050017057726894720","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"JRAero: the Japanese Reanalysis for Aerosol v1.0"},{"@value":"JRAero: the Japanese reanalysis for aerosol v1.0. Geosci"}]},{"@id":"https://cir.nii.ac.jp/crid/1050290770005773952","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Satellite retrieval of aerosol combined with assimilated forecast"}]},{"@id":"https://cir.nii.ac.jp/crid/1360002214585815936","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Bounding the role of black carbon in the climate system: A scientific assessment"}]},{"@id":"https://cir.nii.ac.jp/crid/1360002221110764032","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME)"}]},{"@id":"https://cir.nii.ac.jp/crid/1360022307172241280","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"How emissions uncertainty influences the distribution and radiative impacts of smoke from fires in North America"}]},{"@id":"https://cir.nii.ac.jp/crid/1360285706968184704","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Effects of data assimilation on the global aerosol key optical properties simulations"}]},{"@id":"https://cir.nii.ac.jp/crid/1360567181944563456","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Comparison of aerosol optical depth between observation and simulation from MIROC-SPRINTARS: Effects of temporal inhomogeneous sampling"}]},{"@id":"https://cir.nii.ac.jp/crid/1360846639280580864","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Aerosol data assimilation using data from Himawari‐8, a next‐generation geostationary meteorological satellite"}]},{"@id":"https://cir.nii.ac.jp/crid/1360848656425380992","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Long-term analysis of NO2, CO, and AOD seasonal variability using satellite observations over Asia and intercomparison with emission inventories and model"}]},{"@id":"https://cir.nii.ac.jp/crid/1360848665188784128","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Validation of MODIS-derived Aerosol Optical Thickness Using SKYNET Measurements over East Asia"}]},{"@id":"https://cir.nii.ac.jp/crid/1390001288082860928","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Common Retrieval of Aerosol Properties for Imaging Satellite Sensors"},{"@value":"Common retrieval of atmospheric aerosol properties for imaging satellite sensors"}]},{"@id":"https://cir.nii.ac.jp/crid/1390282681436292096","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Verification of satellite-derived aerosol optical thickness over land with AERONET data"},{"@language":"ja","@value":"衛星から求めた陸域エーロゾルのAERONETデータによる検証"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1029/2006jd007811"},{"@type":"CROSSREF","@value":"10.1002/jgrd.50171_references_DOI_QdUAVsHGAbcDj5tttbdeUFmcPH4"},{"@type":"CROSSREF","@value":"10.5194/acp-15-335-2015_references_DOI_QdUAVsHGAbcDj5tttbdeUFmcPH4"},{"@type":"CROSSREF","@value":"10.5194/gmd-10-3225-2017_references_DOI_QdUAVsHGAbcDj5tttbdeUFmcPH4"},{"@type":"CROSSREF","@value":"10.1016/j.atmosenv.2018.05.021_references_DOI_QdUAVsHGAbcDj5tttbdeUFmcPH4"},{"@type":"CROSSREF","@value":"10.5194/acp-21-1797-2021_references_DOI_QdUAVsHGAbcDj5tttbdeUFmcPH4"},{"@type":"CROSSREF","@value":"10.5194/acpd-14-14933-2014_references_DOI_QdUAVsHGAbcDj5tttbdeUFmcPH4"},{"@type":"CROSSREF","@value":"10.5194/acp-20-2073-2020_references_DOI_QdUAVsHGAbcDj5tttbdeUFmcPH4"},{"@type":"CROSSREF","@value":"10.1016/j.atmosres.2016.03.016_references_DOI_QdUAVsHGAbcDj5tttbdeUFmcPH4"},{"@type":"CROSSREF","@value":"10.5467/jkess.2011.32.1.21_references_DOI_QdUAVsHGAbcDj5tttbdeUFmcPH4"},{"@type":"CROSSREF","@value":"10.2151/jmsj.2018-039_references_DOI_QdUAVsHGAbcDj5tttbdeUFmcPH4"},{"@type":"CROSSREF","@value":"10.2467/mripapers.60.7_references_DOI_QdUAVsHGAbcDj5tttbdeUFmcPH4"},{"@type":"CROSSREF","@value":"10.1002/2016gl069298_references_DOI_QdUAVsHGAbcDj5tttbdeUFmcPH4"},{"@type":"CROSSREF","@value":"10.1007/s11869-013-0205-z_references_DOI_QdUAVsHGAbcDj5tttbdeUFmcPH4"}]}