Authors: J. Manobianco and D.A. Short
Affilation: ENSCO, Inc., Japan
Pages: 342 - 345
Keywords: system and multi-level modeling, micro electroMechanical systems (MEMS), smart sensors, smart dust, environmental monitoring
Among the applications envisioned for Micro ElectroMechanical Systems (MEMS) sensors are weather observations from probes that are suspended in the atmosphere and carried by wind currents. This paper describes preliminary experiments with a state-of-the-science numerical weather prediction model and coupled Lagrangian particle model that are configured to simulate dispersion of and measurements collected by an ensemble of MEMS sensors for meteorological applications. Within the framework of observing system simulation experiments, model results are used to estimate the minimum sensor accuracy, separation distance, and sampling frequency required to improve meteorological analyses and forecasts. The simulation results will also help to refine the present and future design of sensor specifications including data storage and processing, networking, and communications capabilities.
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