Integrated System for Atmospheric Boundary Layer Height Estimation (ISABLE) using a ceilometer and microwave radiometer

摘要: Abstract. Accurate boundary-layer structure and height are critical in analyzing the features of air pollutants as well local circulation. Although surface-based remote sensing instruments give high temporal resolution structure, there were many uncertainties determining accurate atmospheric heights (ABLHs). In this study, an algorithm for integrated system ABLH estimation (ISABLE) was developed applied to vertical profile data obtained by a ceilometer microwave radiometer Seoul City, Korea. A maximum 19 ABLHs calculated conventional time-variance, gradient, wavelet, clustering methods using backscatter coefficient data. Meanwhile, several stable boundary layer extracted near-surface inversion environmental lapse rate potential temperature The ISABLE could find optimal from post-processing including k-means density-based spatial applications with noise (DBSCAN) techniques. It is found that determined exhibited larger correlation coefficients smaller absolute bias root mean square errors between radiosonde-derived than those most methods. Clear skies showed higher daytime cloudy skies, daily recorded spring due stronger radiation. estimated expected contribute parameterization diffusion understanding severe smog/haze events arise fumigation during ABL evolution period.