Title :
Compute cloud based weather detection and warning system
Author :
Krishnappa, Dilip Kumar ; Lyons, Eric ; Irwin, David ; Zink, Michael
Author_Institution :
Univ. of Massachusetts, Amherst, MA, USA
Abstract :
Compute cloud platforms pay-as-you-use model suits applications which require resources sporadically. Severe weather detection and prediction is one such application. Since severe weather events are rare, dedicating servers for such application wastes resources. In this paper, we present the feasibility of using commercial cloud services for severe weather detection and prediction. We show that commercial cloud services provide the required network capability to perform the real-time operation of weather detection and prediction from the radars to the cloud service instance. We automate the process of weather prediction on the cloud based on the results of our weather detection algorithms.
Keywords :
atmospheric techniques; cloud computing; geophysics computing; weather forecasting; cloud based weather detection; commercial cloud services; network capability; pay-as-you-use model; real-time operation; warning system; wastes resources; weather detection algorithms; Clouds; Computer architecture; Meteorological radar; Meteorology; Radar detection; Servers; Cloud Computing; Meterology; Nowcasting; Scientific Computing;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351000