Severe weather event detection and tracking Sensor Web

Detecting and tracking of severe weather events requires the fast and no-delay processing of data from observing sensors to end users. This study adopted the Sensor Web technology and framework in expediting the analytical process from sensor observation to climatic information. A set of algorithms for detecting and tracking severe weather events was adopted and supported with standard geospatial Web processing services. The study exemplified the procedure for designing a geospatial workflow, deploying a workflow, and executing a workflow. The workflow was described in Business Execution Language (BPEL). The design and construction of a geospatial workflow involve a domain scientist, a developer, a workflow visual design tool, and a workflow engine. The standard interfaces are built on open scripting language, Web services, Web Processing Service (WPS), Web Coverage Service (WCS), Web Feature Service (WFS), and Web Map Service (WMS). The workflow construction and design built a virtual product/service that synergies raw data, algorithms, Web Services to reach the post conditions: persistent data served in standard geospatial Web services, algorithms wrapped as standard WPS processes, composite service (or a workflow) executable automatically in standard workflow engines, and geospatial features described in Geography Markup Language (GML) that can be shared across and supported widely by software platform.