Title :
HydroCloud: A Cloud-Based System for Hydrologic Data Integration and Analysis
Author :
McGuire, Michael P. ; Roberge, Martin C. ; Jie Lian
Author_Institution :
Dept. of Comput. & Inf. Sci., Towson Univ., Towson, MD, USA
Abstract :
The analysis of rainfall and runoff to characterize watershed response to storm events is a critical area of hydrologic research. A wealth of data exists to perform this analysis, but it is not easily accessible in a central location. The United States Geological Survey currently collects stream flow data for approximately 12,000 watersheds in the United States. The National Oceanic and Atmospheric Administration produces the spatially-distributed NEXRAD precipitation data, which can be used to estimate rainfall over an entire watershed. While the data is plentiful, it has yet to be integrated in a single system where hydrologists can easily explore the pattern of rainfall and runoff to assess watershed response. In this paper, we present the HydroCloud system, a novel system which uses cloud-based technology for integrating, storing, and exploring hydrologic data and demonstrate its utility in the analysis of watersheds.
Keywords :
cloud computing; data analysis; data integration; geology; hydrology; rain; HydroCloud; NEXRAD precipitation data; National Oceanic and Atmospheric Administration; United States Geological Survey; cloud-based system; cloud-based technology; data analysis; hydrologic data integration; hydrologic research; rainfall; runoff; watershed response; Data mining; Data warehouses; Distributed databases; Loading; Time series analysis; Web services; Cloud-based Systems; Data Integration; Document Database; Hydrology; NEXRAD Precipitation; NoSQL; Stream Flow;
Conference_Titel :
Computing for Geospatial Research and Application (COM.Geo), 2014 Fifth International Conference on
Conference_Location :
Washington, DC
DOI :
10.1109/COM.Geo.2014.16
