{"@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/1360294643753345280.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1016/j.aeaoa.2021.100120"}},{"identifier":{"@type":"URI","@value":"https://api.elsevier.com/content/article/PII:S2590162121000204?httpAccept=text/xml"}},{"identifier":{"@type":"URI","@value":"https://api.elsevier.com/content/article/PII:S2590162121000204?httpAccept=text/plain"}}],"resourceType":"学術雑誌論文(journal article)","dc:title":[{"@value":"Better prediction of surface ozone by a superensemble method using emission sensitivity runs in Japan"}],"description":[{"notation":[{"@value":"Surface O3 exerts adverse effects on human health and vegetation. To accurately predict the surface O3 concentration, a superensemble was made, and its predictability was evaluated by comparison with observations collected in March and July 2014 in Japan. To produce a superensemble, five ensemble simulations consisting of a control run and four sensitivity runs were performed, with half and double the amount of anthropogenic and biogenic NOx and nonmethane volatile organic compounds (NMVOCs) emissions, respectively, in the same months of the previous three years. Then, a superensemble was made based on the five emission ensemble simulations to match the observations in the previous years by using the general linear least squares method. The superensemble trained with the previous years showed significant improvements in the predictability of the model in March and July 2014, especially in terms of the mean biases and root mean square errors, compared to the control run for the same period. In March, long-range transport influenced the enhancement of O3, especially in the western part of Japan, while in July, the effects of the local photochemical production of O3 were dominant. Thus, we obtained a better prediction for urban locations in July."}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1420564276169608576","@type":"Researcher","personIdentifier":[{"@type":"KAKEN_RESEARCHERS","@value":"00447939"},{"@type":"NRID","@value":"1000000447939"},{"@type":"ORCID","@value":"0000-0002-3988-0565"},{"@type":"NRID","@value":"9000414922560"},{"@type":"NRID","@value":"9000370282036"},{"@type":"NRID","@value":"9000413571071"},{"@type":"NRID","@value":"9000001340797"},{"@type":"NRID","@value":"9000240064542"},{"@type":"NRID","@value":"9000396128616"},{"@type":"NRID","@value":"9000388504680"},{"@type":"NRID","@value":"9000399765021"},{"@type":"NRID","@value":"9000283236920"},{"@type":"NRID","@value":"9000021359164"},{"@type":"NRID","@value":"9000327097696"},{"@type":"NRID","@value":"9000327097732"},{"@type":"NRID","@value":"9000413351938"},{"@type":"NRID","@value":"9000399936664"},{"@type":"NRID","@value":"9000413889003"},{"@type":"NRID","@value":"9000022657066"},{"@type":"NRID","@value":"9000408576237"},{"@type":"NRID","@value":"9000286633702"},{"@type":"NRID","@value":"9000392819242"},{"@type":"NRID","@value":"9000258409625"},{"@type":"NRID","@value":"9000404149119"},{"@type":"NRID","@value":"9000404336167"},{"@type":"NRID","@value":"9000411952324"},{"@type":"NRID","@value":"9000402244068"},{"@type":"NRID","@value":"9000413563302"},{"@type":"NRID","@value":"9000327097754"},{"@type":"NRID","@value":"9000413546394"},{"@type":"NRID","@value":"9000409848220"},{"@type":"NRID","@value":"9000412151312"},{"@type":"NRID","@value":"9000408576263"},{"@type":"NRID","@value":"9000408785277"},{"@type":"NRID","@value":"9000402247713"},{"@type":"NRID","@value":"9000408576318"},{"@type":"NRID","@value":"9000388514989"},{"@type":"NRID","@value":"9000409182178"},{"@type":"NRID","@value":"9000273002784"},{"@type":"NRID","@value":"9000409848246"},{"@type":"NRID","@value":"9000327097723"},{"@type":"RESEARCHMAP","@value":"https://researchmap.jp/kajinomizuo"}],"foaf:name":[{"@value":"Mizuo Kajino"}]},{"@id":"https://cir.nii.ac.jp/crid/1380294643753345040","@type":"Researcher","foaf:name":[{"@value":"Natsumi Tanji"}]},{"@id":"https://cir.nii.ac.jp/crid/1380294643753345033","@type":"Researcher","foaf:name":[{"@value":"Masaya Kuramochi"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"25901621"}],"prism:publicationName":[{"@value":"Atmospheric Environment: X"}],"dc:publisher":[{"@value":"Elsevier BV"}],"prism:publicationDate":"2021-12","prism:volume":"12","prism:startingPage":"100120"},"reviewed":"false","dcterms:accessRights":"http://purl.org/coar/access_right/c_abf2","dc:rights":["https://www.elsevier.com/tdm/userlicense/1.0/","https://www.elsevier.com/legal/tdmrep-license","http://creativecommons.org/licenses/by-nc-nd/4.0/"],"url":[{"@id":"https://api.elsevier.com/content/article/PII:S2590162121000204?httpAccept=text/xml"},{"@id":"https://api.elsevier.com/content/article/PII:S2590162121000204?httpAccept=text/plain"}],"createdAt":"2021-07-21","modifiedAt":"2025-11-12","foaf:topic":[{"@id":"https://cir.nii.ac.jp/all?q=Application%20to%20operational%20forecast","dc:title":"Application to operational forecast"},{"@id":"https://cir.nii.ac.jp/all?q=Superensemble%20method","dc:title":"Superensemble method"},{"@id":"https://cir.nii.ac.jp/all?q=Chemical%20transport%20modeling","dc:title":"Chemical transport modeling"},{"@id":"https://cir.nii.ac.jp/all?q=Environmental%20pollution","dc:title":"Environmental pollution"},{"@id":"https://cir.nii.ac.jp/all?q=Surface%20ozone","dc:title":"Surface ozone"},{"@id":"https://cir.nii.ac.jp/all?q=TD172-193.5","dc:title":"TD172-193.5"},{"@id":"https://cir.nii.ac.jp/all?q=Meteorology.%20Climatology","dc:title":"Meteorology. Climatology"},{"@id":"https://cir.nii.ac.jp/all?q=QC851-999","dc:title":"QC851-999"},{"@id":"https://cir.nii.ac.jp/all?q=Emission%20sensitivity%20runs","dc:title":"Emission sensitivity runs"}],"project":[{"@id":"https://cir.nii.ac.jp/crid/1040282256990382080","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"19H01155"},{"@type":"JGN","@value":"JP19H01155"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-19H01155/"}],"notation":[{"@language":"ja","@value":"統合粒子モデル開発による水物質を介した気象変化と環境汚染の相乗効果の解明"},{"@language":"en","@value":"Study on interaction between environmental pollution and meteorological changes via water substances"}]}],"relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1050012570392482560","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Model evaluation and intercomparison of surface-level ozone and relevant species in East Asia in the context of MICS-Asia Phase III - Part 1: Overview"},{"@value":"Model evaluation and inter‐comparison of surface‐level ozone and relevant species in East Asia in the context of MICS‐Asia phase III—Part I: Overview"},{"@value":"Model evaluation and intercomparison of surface-level ozone and relevant species in East Asia in the context of MICS-Asia Phase III—Part 1: Overview"}]},{"@id":"https://cir.nii.ac.jp/crid/1050017057726894720","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"JRAero: the Japanese Reanalysis for Aerosol v1.0"},{"@value":"JRAero: the Japanese reanalysis for aerosol v1.0. 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