• DocumentCode
    2005043
  • Title

    Couple satellite sensor web service with WRF model for weather decision service

  • Author

    Zheng, Zhong ; Chen, Nengcheng ; Wang, Wei

  • Author_Institution
    State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Nowadays, the Sensor Web provides a new way for sensor planning and observation service, whereas, how to couple diverse satellite observations with specified forecast model for weather support decision service under Sensor Web environment is a big challenge. This paper proposes a new framework for put data assimilation into a forecast model. The framework is realized based on the Sensor Web Enablement (SWE), Business Process Execution Language (BPEL) and Web Processing Service (WPS) under the Service Oriented Architecture (SOA) and Open Geospatial Consortium (OGC) standard. The framework contains four main Service components: Sensor Observation Service (SOS), Sensor Alert Service (SAS), Web Notice Service (WNS) and WPS. All the services are chained with BPEL and could be automatically executed. The processing framework is distributed, interoperable, plug-and-play and automatically.
  • Keywords
    Web services; geophysics computing; sensors; weather forecasting; WRF model; Web notice service; Web processing service; business process execution language; couple satellite sensor Web service; open geospatial consortium; sensor Web enablement; sensor Web environment; sensor alert service; sensor planning; service oriented architecture; weather decision service; Data assimilation; Data models; Geospatial analysis; Predictive models; Weather forecasting; Web services; Decision Support Service; Model; Satellite; Sensor Web; Weather;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2010 18th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-7301-4
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2010.5568144
  • Filename
    5568144