Your browser doesn't support javascript.
loading
Improved PM2.5 predictions of WRF-Chem via the integration of Himawari-8 satellite data and ground observations.
Hong, Jia; Mao, Feiyue; Min, Qilong; Pan, Zengxin; Wang, Wei; Zhang, Tianhao; Gong, Wei.
Afiliación
  • Hong J; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China.
  • Mao F; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China; School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China; Collaborative Innovation Center for Geospatial Technology, Wuhan, China. Electronic address:
  • Min Q; State University of New York, Atmospheric Sciences Research Center, Albany, NY, United States.
  • Pan Z; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China.
  • Wang W; School of Geoscience and Info-Physics, Central South University, Changsha, China.
  • Zhang T; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China.
  • Gong W; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China; Collaborative Innovation Center for Geospatial Technology, Wuhan, China.
Environ Pollut ; 263(Pt A): 114451, 2020 Aug.
Article en En | MEDLINE | ID: mdl-32244160
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Material Particulado Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: Environ Pollut Asunto de la revista: SAUDE AMBIENTAL Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Material Particulado Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: Environ Pollut Asunto de la revista: SAUDE AMBIENTAL Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido