Name
Title | ||
|---|---|---|
Real-time storm detection and weather forecast activation through data mining and events processing |
Abstract | ||
|---|---|---|
Each year across the United States, destructive weather events disrupt transportation and commerce, resulting in both loss of lives and property. Mitigating the impacts of such severe events requires innovative new software tools and cyberinfrastructure through which scientists can monitor data for specific weather events and launch focused modeling computations for prediction and forecasts of these evolving weather events. Bringing about a paradigm shift in meteorology research and education through advances in cyberinfrastructure is one of the key research objectives of the Linked Environments for Atmospheric Discovery (LEAD) project, a large-scale, interdisciplinary NSF funded project spanning 10 institutions. In this paper we address the challenges of making cyberinfrastructure frameworks responsive to real-time conditions in the physical environment driven by the use cases in mesoscale meteorology. The contribution of the research is two-fold: on the cyberinfrastructure side, we propose a model for bridging between the physical environment and e-Science workflow systems, specifically through events processing systems, and provide a proof of concept implementation of that model in the context of the LEAD cyberinfrastructure. On the algorithmic side, we propose efficient stream mining algorithms that can be carried out on a continuous basis in real time over large volumes of observational data. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/s12145-008-0010-7 | Earth Science Informatics |
Keywords | Field | DocType |
cyberinfrastructure.e-science. weather forecast.data mining.workflow-drivenanalysis,proof of concept,weather forecasting,data mining,real time,paradigm shift,use case | Data science,Data mining,Use case,Computer science,e-Science,Paradigm shift,Mesoscale meteorology,Severe weather,Cyberinfrastructure,Thunderstorm,Workflow | Journal |
Volume | Issue | ISSN |
1 | 2 | 1865-0481 |
Citations | PageRank | References |
17 | 0.96 | 7 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiang Li | 1 | 54 | 7.30 |
| Beth Plale | 2 | 1837 | 142.80 |
| Nithya N. Vijayakumar | 3 | 53 | 4.93 |
| Rahul Ramachandran | 4 | 117 | 29.54 |
| Sara J. Graves | 5 | 94 | 25.76 |
| Helen Conover | 6 | 37 | 4.29 |