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On-Demand Lake Circulation Modeling Management System

ON-DEMAND LAKE CIRCULATION MODELING MANAGEMENT SYSTEM


ABSTRACT
In this paper, we present a system for real-time forecasting of lake circulation at Trout Lake Station in Upper Wisconsin. Our system uses near-real-time meteorological data to drive a lake circulation model. Near-real-time ADCP data will be used to validate the model. As one part of a cyberinfrastructure lake project, this paper presents the broad system design crossing different related organizations: Device management and data acquisition from Trout Lake Station, data storage in the Center for Limnology, circulation modeling in Environmental Fluid Mechanics Laboratory, and the system portal in Grid Computing Research Laboratory of SUNY Binghamton. We also present the concept and implementation of hindcasting and nowcasting. The application of this system shows that this work is an effective collaboration across many different fields.
1. INTRODUCTION
An effective, on-demand lake circulation modeling H.Yuan and C.Wu, (2004), C.Wu and H.Yuan, (2004a) and H.Yuan and C.Wu, (2004b) system requires expertise in a broad range of areas, including hydrology research, industrial engineering, and computer science. It requires effective integration of instrument management, data streams management, circulation modeling, and high performance computing. In this paper, we describe a system for real-time forecasting of lake circulation at Trout Lake Station in Upper Wisconsin Trout lake station (2000-2006). Our system uses near-real-time meteorological data to drive a non-hydrostatic, lake circulation model and is physically widely distributed among four currently participating institutions. Instruments are managed at Trout Lake by Trout Lake Station, raw data is transmitted to a stable data storage system at CFL where it is archived, modeling is performed upon request at SUNY Binghamton, and meanwhile visualization is presented on the web pages hosted on SUNY Binghamton. We believe that this system is...