Ayesha Siddiqua , Bong-Chul Seo , Steven Corns , Joel Burken , Robert R. Holmes Jr. , Chang-Soo Kim
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引用次数: 0
Abstract
The study demonstrates a framework to develop a web-based platform that presents real-time water data from observations, model estimations, and model predictions over a pilot domain in Missouri, United States. The Missouri Water Information System (MoWIS) is a prototype water information portal that provides current hydrologic (rainfall, drought, and stream) conditions and future stream predictions based on national radar and stream monitoring networks. The primary data sources are USGS and NOAA APIs for river stage/streamflow observations and forecasts. The platform visualizes these data within a geospatial context through a map-based environment, accessible upon user interaction, to facilitate intuitive interpretation and spatial analysis. With a modular architecture designed for system scalability, the platform supports fully automated operations and responsive performance by offloading intensive data processing and modeling tasks to external servers. Since the platform leverages nationally available web services, the framework is readily transferable to other geographic regions.
期刊介绍:
Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.