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Numerical Interpolation on the Simulation of Air Flow Field and the Effect of Data Quality Control in Complex Terrain  

Lee Hwa woon (부산대학교 대기과학과)
Choi Hyun-Jung (부산대학교 대기과학과)
Lee Kang-Yoel (부산대학교 대기과학과)
Publication Information
Journal of Korean Society for Atmospheric Environment / v.21, no.1, 2005 , pp. 97-105 More about this Journal
Abstract
In order to reduce the uncertainties and improve the air flow field, objective analysis using asynoptic observational data is chosen as a method that enhances the reality of meteorology. In surficial data and their numerical interpolation for improving the interpretation of meteorological components, objective analysis scheme should perform a smooth interpolation, detect and remove the bad data and carry out internal consistency analysis. For objective analysis technique which related to data reliability and error suppression, we carried out two quality control methods. In site quality control, asynoptic observational data at urban area revealed low representation by the complex terrain and buildings. In case of wind field, it was more effective than temperature field when it were interpolated near waterbody data. Many roads, buildings, subways, vehicles are bring about artificial heat which left out of consideration on the simulation of air flow field. Therefore, in temperature field, objective analysis for more effective result was obtained when surficial data were interpolated as many as possible using value quality control rather than the selection of representative site.
Keywords
Objective analysis; Quality control; Interpolation; MM5 Model;
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