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The automatic and non-supervised detection of the planetary boundary layer\udheight (zPBL) by means of lidar measurements was widely investigated\udduring the last several years.\udDespite considerable advances, the experimental\uddetection still presents difficulties such as advected aerosol layers\udcoupled to the planetary boundary layer (PBL) which usually produces an overestimation of the zPBL.\udTo improve the detection of the zPBL in these complex atmospheric\udsituations, we present a new algorithm, called POLARIS (PBL height\udestimation based on lidar depolarisation). POLARIS applies the wavelet\udcovariance transform (WCT) to the range-corrected signal (RCS) and to the\udperpendicular-to-parallel signal ratio (δ) profiles. Different\udcandidates for zPBL are chosen and the selection is done based on the\udWCT applied to the RCS and δ. We use two ChArMEx (Chemistry-Aerosol Mediterranean Experiment)\udcampaigns with\udlidar and microwave radiometer (MWR) measurements, conducted in 2012 and\ud2013, for the POLARIS' adjustment and validation. POLARIS improves the\udzPBL detection compared to previous methods based on lidar\udmeasurements, especially when an aerosol layer is coupled to the PBL. We also\udcompare the zPBL provided by the Weather Research and Forecasting (WRF)\udnumerical weather prediction (NWP) model with respect to the zPBL determined\udwith POLARIS and the MWR under Saharan dust events. WRF underestimates the\udzPBL during daytime but agrees with the MWR during night-time. The\udzPBL provided by WRF shows a better temporal evolution compared\udto\udthe MWR during daytime than during night-time

atmospheric chemistry and physics

A new methodology for PBL height estimations based on lidar depolarization measurements: analysis and comparison against MWR and WRF model-based results