Near-real-time precipitation virtual sensor using NEXRAD data

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Near-real-time precipitation virtual sensor using NEXRAD data

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Geographic Information Systems archive
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems table of contents

Irvine, California

DEMONSTRATION SESSION: Demo session table of contents

Article No. 82

Year of Publication: 2008

ISBN:978-1-60558-323-5

Authors

Yong Liu	University of Illinois at Urbana-Champaign, Urbana, IL
David J. Hill	University of Illinois at Urbana-Champaign, Urbana, IL
Alejandro Rodriguez	University of Illinois at Urbana-Champaign, Urbana, IL
Luigi Marini	University of Illinois at Urbana-Champaign, Urbana, IL
Rob Kooper	University of Illinois at Urbana-Champaign, Urbana, IL
Joe Futrelle	University of Illinois at Urbana-Champaign, Urbana, IL
Barbara Minsker	University of Illinois at Urbana-Champaign, Urbana, IL
James D. Myers	University of Illinois at Urbana-Champaign, Urbana, IL

Sponsors

: Google
: Oak Ridge National Laboratory
: ESRI
Microsoft : Microsoft

Publisher

ACM New York, NY, USA

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ABSTRACT

In this demonstration paper, we describe the technologies and implementations that allow near real-time creation of new virtual precipitation sensors using NEXRAD Level II streaming data at user-specified point locations and time intervals in an integrated digital watershed with a Google Map-based web interface. The spatiotemporal and thematic transformation steps to produce such new time series data stream are implemented as a set of scientific workflows. A streaming data ontology is developed to handle temporal proximity concepts such as "previous" and "next" for irregular temporal data streams. Data and metadata management is provided by a semantic content management middleware. The new point-based virtual sensor can lower the barriers of using NEXRAD data for many hydrological applications.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Gross, Neil (1999). The Earth Will Don an Electronic Skin, Business Week, August 1999.
	2	Krajewski, W. F. et al. (2008) Hydro-NEXRAD: community resource for use of radar-rainfall data, CUAHSI CyberSeminar April 25, 2008. Available at http://www.cuahsi.org/cyberseminars/Krajewski-20080425.pdf
	3	Liu, Y., et al.(2008), Virtual Sensor-Powered Spatiotemporal Aggregation and Transformation: A Case Study Analyzing Near-Real-Time NEXRAD and Precipitation Gage Data in a Digital Watershed, Environmental Information Management Conference 2008, September 10--11, 2008, University of New Mexico, Albuquerque, NM
	4	Marini, L., et al. (2007), Supporting exploration and collaboration in scientific workflow systems, in AGU, Fall Meet. Suppl., Abstract IN31C-07. 2007: San Francisco, CA.