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(NWS) provides hydrologic forecasts through 13 River Forecast Centers (RFCs; Fig. 1) and 122 Weather Forecast Offices (WFOs). Together, these offices provide streamflow forecasts State-of-the-art science is helping to improve operational forecasting of floods, drought conditions, and water resources, delivering more precise and accessible information to(More)
Ontology specification is a core component of the Semantic Web, and facilitates interoperability among different systems that use distinct models. Developing a spatial ontology will allow many applications that have spatial objects to interact. In this paper, we formalize 2-D spatial concepts and operations into a spatial ontology. We show how these(More)
Most rainfall data is stored in formats that are not easy to analyze and mine. In these formats, the amount of data is enormous. In this paper, we propose techniques to summarize the raw rainfall data into a model that facilitates storm analysis and mining, and reduces the data size. The result is to convert raw rainfall data into meaningful storm-centric(More)
In our previous work, we described various aspects of our approach in converting big raw rainfall data into meaningful storm concepts. Three concepts were defined: local, hourly, and overall storms. The latter describes overall spatio-temporal characteristics of a storm as it progresses over time. We previously described MapReduce-based algorithms for local(More)
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