bibo:abstract
  • A critical component of air pollution modeling is the representation of meteorolegical fields within a model domain since an accurate air quality simulation requires an accurate portrayal of the three-dimensional wind fields. The present study investigated data assimilation using surface observational data in the complex coastal regions to simulate an accurate meteorological fields. Surface observational data were categorized into three groups (Near coastal region, Far coastal regiln 1, Far costal region 2) by the locations where the data are. Experiments were designed and MM5 was used in each case of regions. Case 1 is an experiment without data assimilation, Case N is executed with data assimilation using observational data by meteorolegical stations and AWS data located in the near coastal region, within 1 km. Case 1 is also an experiment with data assimilation using observational data by meteorolegical stations and AWS data located in the far coastal regiln 1, more than 1 km and less than 5 km from the coastal lines. Case F2 is appled to data assimilation using observational data by meteorolegical stations and AWS data located in the far coastal region 2, beyond 5 km from the coastal lines. The result of this study indicated that data assimilation using data in the far coastal region 1 and 2 provided an attractive method for generating accurate meteorological fields, especially in the complex coastal regions. (rdf:langString) (en)
nlon:biographicalNote
  • 원혜영, 부산대학교 대기과학과, comet909 (rdf:langString) (hanmail.net)
  • 이화운, 부산대학교 대기과학과 (xsd:string)
  • 최현정, 부산대학교 대기과학과 (xsd:string)
nlon:classificationNumberOfNLK
  • 539.905 (xsd:string)
nlon:containedIn
dc:creator
  • 원혜영 (xsd:string)
  • 이화운 (xsd:string)
  • 최현정 (xsd:string)
dcterms:creator
nlon:datePublished
  • 2021-01-30T23:37:12 (xsd:dateTime)
dcterms:description
  • Numerical simulation of atmospheric flow fields using surface observational data in the complex coastal regions (xsd:string)
bibframe:extent
  • 26 cm (xsd:string)
  • p. 633-645 (xsd:string)
dcterms:isPartOf
nlon:issuedYear
  • 2004 (xsd:string)
nlon:itemNumberOfNLK
  • 한475 (xsd:string)
rdfs:label
  • 복잡한 해안지역에서의 지상 관측 자료를 이용한 대기 유동장 수치모의 / 이화운, 원혜영,최현정 (xsd:string)
dcterms:language
dc:subject
  • Complex coastal regions (xsd:string)
  • Data assimilation (xsd:string)
  • MM5 (xsd:string)
  • Surface observational data (xsd:string)
  • 대기 (xsd:string)
  • 유동장 (xsd:string)
  • 지상 관측 자료 (xsd:string)
  • 해안지역 (xsd:string)
dcterms:title
  • 복잡한 해안지역에서의 지상 관측 자료를 이용한 대기 유동장 수치모의 (xsd:string)
rdf:type
nlon:volumeOfNLK
  • 20(5) (xsd:string)