HR: 11:35h
AN: IN32A-06 INVITED [Abstracts]
TI: Web-based Services for Earth Observing and Model Data in National Applications and Hazards
AU: * Kafatos, M
EM: mkafatos@gmu.edu
AF: Center for Earth Observing and Space Research, 4400 University Dr.
MSN 5C3, Fairfax, VA 22030
United States
AU: * Kafatos, M
EM: mkafatos@gmu.edu
AF: School of Computational Sciences, 4400 University Dr
, Fairfax, VA 22030
United States
AU: Boybeyi, Z
IN32A-06
AF: Coordinated Atmospheric Modeling Program, 4400 University Dr.
, Fairfax, VA 22030
United States
AU: Boybeyi, Z
IN32A-06
AF: School of Computational Sciences, 4400 University Dr
, Fairfax, VA 22030
United States
AU: Cervone, G
IN32A-06
AF: Center for Earth Observing and Space Research, 4400 University Dr.
MSN 5C3, Fairfax, VA 22030
United States
AU: Cervone, G
IN32A-06
AF: School of Computational Sciences, 4400 University Dr
, Fairfax, VA 22030
United States
AU: Di, L
IN32A-06
AF: Laboratory for Advanced Information Technology Systems, 4400 University Dr
, Fairfax, VA 22030
United States
AU: Di, L
IN32A-06
AF: School of Computational Sciences, 4400 University Dr
, Fairfax, VA 22030
United States
AU: Sun, D
EM: dsun@gmu.edu
AF: Center for Earth Observing and Space Research, 4400 University Dr.
MSN 5C3, Fairfax, VA 22030
United States
AU: Sun, D
EM: dsun@gmu.edu
AF: School of Computational Sciences, 4400 University Dr
, Fairfax, VA 22030
United States
AU: Yang, C
IN32A-06
AF: Center for Earth Observing and Space Research, 4400 University Dr.
MSN 5C3, Fairfax, VA 22030
United States
AU: Yang, C
IN32A-06
AF: School of Computational Sciences, 4400 University Dr
, Fairfax, VA 22030
United States
AU: Yang, R
IN32A-06
AF: Center for Earth Observing and Space Research, 4400 University Dr.
MSN 5C3, Fairfax, VA 22030
United States
AU: Yang, R
IN32A-06
AF: School of Computational Sciences, 4400 University Dr
, Fairfax, VA 22030
United States
AB:
The ever-growing large volumes of Earth system science data, collected by Earth observing platforms, in situ stations and as
model output data, are increasingly being used by discipline scientists and by wider classes of users. In particular,
applications of Earth system science data to environmental and hazards as well as other national applications, require
tailored or specialized data, as well as web-based tools and infrastructure. The latter are driven by applications and usage
drivers which include ease of access, visualization of complex data, ease of producing value-added data, GIS and open source
analysis usage, metadata, etc. Here we present different aspects of such web-based services and access, and discuss several
applications in the hazards and environmental areas, including earthquake signatures and observations and model runs of
hurricanes. Examples and lessons learned from the consortium Mid-Atlantic Geospatial Information Consortium will be
presented.
We discuss a NASA-funded, open source on-line data analysis system that is being applied to climate studies for the ESIP
Federation. Since enhanced, this project and the next-generation Metadata Integrated Data Analysis System allow users not
only to identify data but also to generate new data products on-the-fly. The functionalities extend from limited predefined
functions, to sophisticated functions described by general-purposed GrADS (Grid Analysis and Display System) commands. The
Federation system also allows third party data products to be combined with local data. Software component are available for
converting the output from MIDAS (OPenDAP) into OGC compatible software. The on-going Grid efforts at CEOSR and LAITS in the
School of Computational Sciences (SCS) include enhancing the functions of Globus to provide support for a geospatial system
so the system can share the computing power to handle problems with different peak access times and improve the stability and
flexibility of a rapid response system. Globus 4.0 is used for developing the geospatial information, modeling, and GIS
services for geospatial computing. Various models will be supported in the Grid framework through appropriate "wrappers" to
enhance interoperability with the applicable data resources. Coordination of the dispatch of requests to different computers,
to provide computing services to the Grid Portals is another functionality that we will discuss. Grid Portals will identify
services from a service description table and communicate with the Co-Allocator to negotiate a computing resource.
The ongoing modeling efforts in SCS include numerical weather prediction, atmospheric transport and dispersion prediction,
and development of computational methods to optimize the use of remotely sensed data to improve accuracy of the models.
These modeling capabilities are applied to important environmental and hazard prediction problems in near real time (such as
hurricane forecasting, dust storm simulations, forest fires, and other hazard predictions), using, WRF, and OMEGA models. The
results from our modeling simulations combined with the global model results from national operational centers are then
displayed in CEOSR web-based applications to inform the public and other stakeholders. Lessons learned will be described from
national applications and hazards research in the MAGIC consortium.
DE: 0520 Data analysis: algorithms and implementation
DE: 0525 Data management
DE: 0530 Data presentation and visualization
DE: 0545 Modeling (4255)
SC: Earth and Space Science Informatics [IN]
MN: Fall Meeting 2005