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DCNet

Wind data from 
				the DCNet meteorological towers used to drive models
A graphical display of high quality wind data from the DCNet meteorological towers. The data are used to drive computer models in order to better predict the movement of hazardous substances and to track severe weather.

ARL operates an intensive urban research meteorological network within the National Capital Region, called DCNet. The network has been in operation since 2003 and consists of 15 stations, most of them on building rooftops, that collect the standard meteorological parameters (temperature, wind speed and direction). The stations also measure characteristics of atmospheric turbulence. DCNet provides critical data and insights that improve the predictions of where hazardous materials will go; thus improving emergency manager's ability to protect first responders and the public.

With a strong focus on data quality, DCNet is designed to support development of urban monitoring methodologies and observation standards, evaluation of the utility of using private meteorological observing networks within urban environments, and to provide an intensive dataset for model evaluation and initialization, process studies, and decision support. While a research network, DCNet observations are used by numerous government security and emergency management activities within the National Capital Region.

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