bibo:abstract
  • In order to raise the accuracy of meteorological data, several numerical experiments about the usefulness of data assimilation to prediction of air pollution was carried out. Used data for data assimilation are surface meteorological components observed by Automatical Weather System with high spatial density. The usage of surface data assimilation gives changes of temperature and wind fields and the change caused by the influence of land-use on meterological simulation is more sensitive at night than noon. The data quality in assimilation is also one of the important factors to predict the meteorological field precisely and through the static IOA (Index of Agreement), simulated meteorological components with selected limited surface data assimilation are agree well with observations. (rdf:langString) (en)
nlon:biographicalNote
  • 김헌숙, 부산대학교 대기과학과 (xsd:string)
  • 이순환, 조선대학교 아시아몬순기후환경연구센터, leesh (rdf:langString) (chosun.ac.kr)
  • 이화운, 부산대학교 대기과학과 (xsd:string)
nlon:classificationNumberOfNLK
  • 539.905 (xsd:string)
nlon:containedIn
dc:creator
  • 김헌숙 (xsd:string)
  • 이순환 (xsd:string)
  • 이화운 (xsd:string)
dcterms:creator
nlon:datePublished
  • 2021-01-30T23:37:12 (xsd:dateTime)
dcterms:description
  • Numerical study on surface data assimilation for estimation of air quality in complex terrain (xsd:string)
bibframe:extent
  • 26 cm (xsd:string)
  • p. 523-537 (xsd:string)
dcterms:isPartOf
nlon:issuedYear
  • 2004 (xsd:string)
nlon:itemNumberOfNLK
  • 한475 (xsd:string)
rdfs:label
  • 복잡 지형의 대기질 예측을 위한 지상자료동화의 효용성에 관한 수치연구 / 이순환, 김헌숙,이화운 (xsd:string)
dcterms:language
dc:subject
  • AWS (xsd:string)
  • Complex terrain (xsd:string)
  • MM5 (xsd:string)
  • Objective analysis (xsd:string)
  • Quality control (xsd:string)
  • 대기질 (xsd:string)
  • 복잡 지형 (xsd:string)
  • 지상자료동화 (xsd:string)
dcterms:title
  • 복잡 지형의 대기질 예측을 위한 지상자료동화의 효용성에 관한 수치연구 (xsd:string)
rdf:type
nlon:volumeOfNLK
  • 20(4) (xsd:string)