Paper Info
Title
Improved transient weather reporting using people centric sensing
Abstract
Improving transient weather reporting accuracy by augmenting automated weather monitoring with people centric sensing is highly desirable since transient weather disambiguation can currently only be accomplished through employing trained expert observers or through using news media reports and data analysis following the weather event. Previous research on this topic has been unable to conclude whether people centric sensing improves weather forecasting. This paper proposes a new, semantic and geospatial analytic cross-disciplinary approach focused on only transient weather conditions, specifically tornado touchdowns, as a means of demonstrating that people centric sensing can provide accurate event reporting even before data from official agencies becomes available. In this way, it is shown that people centric sensing can be used to improve the accuracy of, and potentially confirm, the validity of data collected through traditional sensor sources.
Year
DOI
Venue
2013
10.1109/CCNC.2013.6488585
Consumer Communications and Networking Conference
Keywords
Field
DocType
emergency management,social networking (online),weather forecasting,data analysis,disaster management,emergency response,geospatial analytic cross-disciplinary approach,media reports,official agencies,people centric sensing,semantic analytic cross-disciplinary approach,transient weather disambiguation,transient weather reporting,Social sensing,sensor networks,social media
Geospatial analysis,Tornado,Computer science,Computer security,Emergency management,News media,Weather forecasting
Conference
ISBN
Citations 
PageRank 
978-1-4673-3131-9
2
0.36
References 
Authors
2
2
Name
Order
Citations
PageRank
William D. Phillips120.36
Ravi Sankar265655.66