Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-17-6839-2017 |
A new methodology for PBL height estimations based on lidar depolarization measurements: analysis and comparison against MWR and WRF model-based results | |
Antonio Bravo-Aranda, Juan1,2,7; Moreira, Gregori de Arruda3; Navas-Guzman, Francisco4; Jose Granados-Munoz, Maria1,2,8; Luis Guerrero-Rascado, Juan1,2; Pozo-Vazquez, David5; Arbizu-Barrena, Clara5; Olmo Reyes, Francisco Jose1,2; Mallet, Marc6; Alados Arboledas, Lucas1,2 | |
2017-06-12 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2017 |
卷号 | 17期号:11 |
文章类型 | Article |
语种 | 英语 |
国家 | Spain; Brazil; Switzerland; France; USA |
英文摘要 | The automatic and non-supervised detection of the planetary boundary layer height (z(PBL)) by means of lidar measurements was widely investigated during the last several years. Despite considerable advances, the experimental detection still presents difficulties such as advected aerosol layers coupled to the planetary boundary layer (PBL) which usually produces an overestimation of the z(PBL). To improve the detection of the z(PBL) in these complex atmospheric situations, we present a new algorithm, called POLARIS (PBL height estimation based on lidar depolarisation). POLARIS applies the wavelet covariance transform (WCT) to the range-corrected signal (RCS) and to the perpendicular-to-parallel signal ratio (delta) profiles. Different candidates for z(PBL) are chosen and the selection is done based on the WCT applied to the RCS and delta. We use two ChArMEx (Chemistry-Aerosol Mediterranean Experiment) campaigns with lidar and microwave radiometer (MWR) measurements, conducted in 2012 and 2013, for the POLARIS' adjustment and validation. POLARIS improves the z(PBL) detection compared to previous methods based on lidar measurements, especially when an aerosol layer is coupled to the PBL. We also compare the z(PBL) provided by the Weather Research and Forecasting (WRF) numerical weather prediction (NWP) model with respect to the z(PBL) determined with POLARIS and the MWR under Saharan dust events. WRF underestimates the z(PBL) during daytime but agrees with the MWR during night-time. The z(PBL) provided by WRF shows a better temporal evolution compared to the MWR during daytime than during night-time. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000403214200003 |
WOS关键词 | BOUNDARY-LAYER HEIGHT ; VERTICAL STRUCTURE ; AEROSOL ; PARAMETERIZATION ; RADIOMETER ; SITES |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/21670 |
专题 | 地球科学 |
作者单位 | 1.Andalusian Inst Earth Syst Res IISTA CEAMA, Granada, Spain; 2.Univ Granada, Dept Appl Phys, Granada, Spain; 3.Inst Energet & Nucl Res IPEN, Sao Paulo, Brazil; 4.Univ Bern, IAP, Bern, Switzerland; 5.Univ Jaen, Dept Phys, Jaen, Spain; 6.CNRS, Meteo France, Ctr Natl Rech Meteorol, UMR 3589, Toulouse, France; 7.Ecole Polytech, CNRS, Inst Pierre Simon Laplace, Paris, France; 8.CALTECH, Jet Prop Lab, NASA, Table Mt Facil, Wrightwood, CA USA |
推荐引用方式 GB/T 7714 | Antonio Bravo-Aranda, Juan,Moreira, Gregori de Arruda,Navas-Guzman, Francisco,et al. A new methodology for PBL height estimations based on lidar depolarization measurements: analysis and comparison against MWR and WRF model-based results[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2017,17(11). |
APA | Antonio Bravo-Aranda, Juan.,Moreira, Gregori de Arruda.,Navas-Guzman, Francisco.,Jose Granados-Munoz, Maria.,Luis Guerrero-Rascado, Juan.,...&Alados Arboledas, Lucas.(2017).A new methodology for PBL height estimations based on lidar depolarization measurements: analysis and comparison against MWR and WRF model-based results.ATMOSPHERIC CHEMISTRY AND PHYSICS,17(11). |
MLA | Antonio Bravo-Aranda, Juan,et al."A new methodology for PBL height estimations based on lidar depolarization measurements: analysis and comparison against MWR and WRF model-based results".ATMOSPHERIC CHEMISTRY AND PHYSICS 17.11(2017). |
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