An interoperable spatiotemporal weather radar data dissemination system

This paper investigates an interoperable framework to disseminate Earth Science data to different application domains. The proposed framework can manage different Earth science data products and raster snapshots over time through the use of relevant metadata information. The framework generates images to be accessed by GIS software for various Earth science and web‐based applications. The access is enabled through the compliance with OpenGeospatial Consortium's Web Map Service (WMS) for interoperability such that any WMS viewer can access the service. The framework can provide GIS users the capability to incorporate geospatial information from other WMS servers. Using the United States NEXt generation weather RADar (NEXRAD) data, we demonstrate how the proposed framework can facilitate the dissemination of Earth Science data to a broad community in a near real‐time fashion. The proposed framework can be used to manage and disseminate various types of spatiotemporal Earth science data.

[1]  B. Clinton Executive Order 12906: Coordinating Geographic Data Acquisition and Access: The National Spatial Data Infrastructure , 1994 .

[3]  Ying Cao Grid-Enabled Transportation Routing With Real-Time Events , 2009 .

[4]  Awtar Koonar,et al.  Building a road weather information network for integrating data from heterogeneous sources , 2005, Third International Conference on Information Technology and Applications (ICITA'05).

[5]  Frank Warmerdam,et al.  The Geospatial Data Abstraction Library , 2008 .

[6]  Sheng Cheng,et al.  Scheduling algorithms for hard real-time systems: a brief survey , 1989 .

[7]  Anthony Skjellum,et al.  Using MPI: portable parallel programming with the message-passing interface, 2nd Edition , 1999, Scientific and engineering computation series.

[8]  T. Hollenhorst,et al.  Use of GIS and remotely sensed data for a priori identification of reference areas for Great Lakes coastal ecosystems , 2005 .

[9]  Arun K. Saraf,et al.  Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge sites , 1998 .

[10]  Keith Golden,et al.  Parallel Distributed Application Framework for Earth Science Data Processing , 2003, ScanGIS.

[11]  Donald W. Burgess,et al.  Recording, Archiving, and Using WSR-88D Data , 1993 .

[12]  Roger L. King,et al.  Multitemporal land use and land cover classification of urbanized areas within sensitive coastal environments , 2003, IEEE Trans. Geosci. Remote. Sens..

[13]  Ian T. Foster,et al.  Scaling System-Level Science: Scientific Exploration and IT Implications , 2006, Computer.

[14]  Whey-Fone Tsai,et al.  The integration and application of the computational grid structure in flood forecast system , 2004, Proceedings. Seventh International Conference on High Performance Computing and Grid in Asia Pacific Region, 2004..

[15]  K. Shadan,et al.  Available online: , 2012 .

[16]  Yongsheng Zhao,et al.  A robust framework for real-time distributed processing of satellite data , 2006, J. Parallel Distributed Comput..

[17]  Xiaojun Yang,et al.  Using satellite imagery and GIS for land‐use and land‐cover change mapping in an estuarine watershed , 2005 .

[18]  Peter R. Pietzuch,et al.  Distributed event-based systems , 2006 .

[19]  John D. Evans,et al.  A proposed Strategy for Evolution of ESE Data Systems (SEEDS) standards process , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[20]  R. Jaiswal,et al.  Role of remote sensing and GIS techniques for generation of groundwater prospect zones towards rural development--an approach , 2003 .

[21]  Carol J. Friedland,et al.  Advanced Damage Detection for Hurricane Katrina: Integrating Remote Sensing Images and VIEWS Field Reconnaissance , 2006 .

[22]  Sara J. Graves,et al.  LINKED ENVIRONMENTS FOR ATMOSPHERIC DISCOVERY (LEAD): A CYBERINFRASTRUCTURE FOR MESOSCALE METEOROLOGY RESEARCH AND EDUCATION , 2004 .

[23]  Fabien Robineau,et al.  OpenGIS Simple Features Specification For SQL, Revision 0 , 1997 .

[24]  Joseph C. Coughlan,et al.  Distributed application framework for Earth science data processing , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[25]  Alessandro Mazzella,et al.  The Datacrossing DSS: A Data-GRID Based Decision Support System for Groundwater Management , 2006, 2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06).

[26]  G. Henebry,et al.  Using Landsat thermal imagery and GIS for identification of groundwater discharge into shallow groundwater‐dominated lakes , 2005 .

[27]  P. Srivastava,et al.  Groundwater assessment through an integrated approach using remote sensing, GIS and resistivity techniques: a case study from a hard rock terrain , 2006 .

[28]  Hampapuram K. Ramapriyan,et al.  NASA's Earth science data systems - past, present and future , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[29]  Claus Hofmann A multi-tier framework for accessing distributed, heterogeneous spatial data in a federation based EIS , 1999, GIS '99.