Art

J-GLOBAL ID：202102274599673751   Reference number：21A0339815

A high-resolution prediction system for birch pollen in Sapporo

札幌市におけるカバ花粉の高分解能予測システム【JST・京大機械翻訳】

Author (6)： Inatsu Masaru (Faculty of Science, Hokkaido University, Sapporo, Japan) ,  Inatsu Masaru (Center for Natural Hazards Research, Hokkaido University, Sapporo, Japan) ,  Yoshida Ryo (Graduate School of Science, Hokkaido University, Sapporo, Japan) ,  Karino Shota (Graduate School of Science, Hokkaido University, Sapporo, Japan) ,  Takeuchi Shinji (Hokkaido Institute of Public Health, Sapporo, Japan) ,  Kobayashi Satoshi (Hokkaido Institute of Public Health, Sapporo, Japan)
Material： Agricultural and Forest Meteorology  (Agric For Meteorol)
Volume： 297  Page： Null  Publication year： 2021 
JST Material Number： C0901A  ISSN： 0168-1923  Document type： Article
Article type： 原著論文  Country of issue： Netherlands (NLD)  Language： ENGLISH (EN)

Abstract/Point： This study aims to develop a h...

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Thesaurus term： simulation ,  gravity ,  convection ,  sedimentation(settling) ,  precipitation(meteorology) ,  road ,  city ,  *pollen ,  atmospheric boundary layer ,  advection ,  *high-resolution ,  deposition ,  dry sedimentation ,  surface air temperature ,  prediction model

Author keywords (5)： birch tree distribution map ,  field survey ,  simple atmospheric model ,  high-resolution simulation ,  long-term pollen observation

JST classification (2)： Forest botany  (FF02020E) ,  Botany in general  (EH01010R)

Terms in the title (5)： 札幌 ,  カバ ,  花粉 ,  高分解能 ,  予測システム