A General Framework and System Prototypes for the Self-Adaptive Earth Predictive Systems (SEPS) - Dynamically Coupling Sensor Web with Earth System Models
Liping
Di, Center for Spatial Information Science and Systems, George Mason University, ldi@gmu.edu
James
Smith, NASA Goddard Space Flight Center, james.a.smith@nasa
David
Lary, Goddard Earth Science and Technology Center, University of Maryland at Baltimore County, david.lary@umbc.edu
Genong
Yu, Center for Spatial Information Science and Systems, George Mason University, gyu@gmu.edu
(Presenting)
This project has been building up a framework to adaptively infuse live sensor observations and archive data into geospatial models. Several key technologies have been developed: (1) Standard BPEL workflow and engine to glue and re-use standard geospatial data and Web services; (2) asynchronous support to enable message notification and data pushing when time-demanding processes are required; (3) interoperation to RESTful resources to share data and services across Web implementation paradigms; (4) interoperation to ESMF to bridge earth science models and earth observations through state exchange. All these make easy integration of geospatial data, services, and resources. Two live demonstrations have showed the efficiency and advantages of the framework. Re-usability, scalability, interoperability, and variability of SEPS were demonstrated. SEPS will be further refined and verified with more scientific scenarios.
NASA Carbon Cycle & Ecosystems Active Awards Represented by this Poster: