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http://dx.doi.org/10.7780/kjrs.2020.36.5.1.4

Assessment of Observation Environments of Automated Synoptic Observing Systems Using GIS and WMO Meteorological Observation Guidelines  

Kang, Jung-Eun (Division of Earth Environmental System Science, Pukyong National University)
Kim, Jae-Jin (Department of Environmental Atmospheric Sciences, Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.36, no.5_1, 2020 , pp. 693-706 More about this Journal
Abstract
For ten meteorological observatories running an automated synoptic observing system (ASOS), we classified the observation environments into five classes based on the World Meteorological Organization (WMO) classification guidelines. Obstacles (such as topography and buildings) and land-cover types were the main factors in evaluating the observation environments for the sunshine duration, air-temperature, and surface wind. We used the digital maps of topography, buildings, and land-cover types. The observation environment of the sunshine duration was most affected by the surrounding buildings when the solar altitude angle was low around the sunrise and sunset. The air-temperature observation environment was determined based on not only the solar altitude angle but the distance between the heat/water source and ASOS. There was no water source around the ASOSs considered in this study. Heat sources located near some ASOSs were not large enough to affect the observation environment. We evaluated the surface wind observation environment based on the roughness length around the ASOS and the distance between surrounding buildings and the ASOS. Most ASOSs lay at a higher altitude than the surroundings and the roughness lengths around the ASOSs were small enough to satisfy the condition for the best level.
Keywords
WMO guideline; geographic information system; land cover map; automated synoptic observing system; meteorological observation environment;
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Times Cited By KSCI : 9  (Citation Analysis)
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