We are developing an integrated observing and modeling system to enable a comprehensive understanding of the current ecological state of the lake while simultaneously supporting an on-going research and monitoring program. This integrated IoT system is composed of three major components. The first of which is a cohesive, and adaptive, cyber-infrastructure responsible for the control, coordination, communication, aggregation, and delivery of the various data streams from a real-time multi-sensor observing network composed of in-situ sensors for atmospheric, stream and lake measurement. These data are used to inform and validate a coupled multi-model environmental modeling system. The cyber-infrastructure provides system-level control of power management, data collection rates and autonomous adaptation of sensing strategies in real time. The application of this integrated system enables predictive and real-time analytics for understanding the physical, biological and overall ecological impacts as part of a monitoring and assessment program that can be applied to inland and coastal water systems.
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