Standardization of Metadata for Urban Meteorological Observations

Abstract

The metadata for urban meteorological observation is standardized through comparison with those established at the World Meteorological Organization and the Korea Meteorological Administration to understand the surrounding environment around the sites exactly and maintain the networks and sites efficiently. It categorizes into metadata for an observational network and observational sites. The latter is again divided into the metadata for station general information, local scale information, micro scale information, and visual information in order to explain urban environment in detail. The metadata also contains the static information such as urban structure, surface cover, metabolism, communication, building density, roof type, moisture/heat sources, and traffic as well as the update information on the environment change, maintenance, replacement, and/or calibration of sensors. The standardized metadata for urban meteorological observation is applied to the Weather Information Service Engine (WISE) integrated meteorological sensor network and sites installed at Incheon area. It will be very useful for site manager as well as researchers in fields of urban meteorology, radiation, surface energy balance, anthropogenic heat, turbulence, heat storage, and boundary layer processes.

High-resolution urban observation network for user-specific meteorological information service in the Seoul Metropolitan Area, South Korea

“…Statistical and physical approaches to determine road sections vulnerable to icing are now available. istration, and previous studies (WMO, 2008;KMA, 2013;Muller et al, 2013;Song et al, 2014). The UMS-Seoul metadata include network and station information composed of general, local-scale, micro-scale, and visual information (Muller et al, 2013).…”

“…The UMS-Seoul metadata include network and station information composed of general, local-scale, micro-scale, and visual information (Muller et al, 2013). Figure 13 shows the structure of UMSSeoul metadata and an example of general station information metadata (Song et al, 2014). The metadata contain static information, such as urban structure, surface land cover, metabolism, roof type (roofing tile, slope angle, and material), telecommunication between instrument and data server, moisture/heat sources, and traffic and updated information on environmental changes, maintenance, replacement, and/or the calibration of sensors.…”