Bibliographic Details
| Title: |
Retrieval of Aerosol Parameters from Continuous H24 Lidar-Ceilometer Measurements |
| Authors: |
Dionisi D., Barnaba F., Costabile F., Di Liberto L., Gobbi G. P., Wille H. |
| Source: |
EPJ Web of Conferences, Vol 119, p 23004 (2016) |
| Publisher Information: |
EDP Sciences, 2016. |
| Publication Year: |
2016 |
| Collection: |
LCC:Physics |
| Subject Terms: |
Physics, QC1-999 |
| More Details: |
Ceilometer technology is increasingly applied to the monitoring and the characterization of tropospheric aerosols. In this work, a method to estimate some key aerosol parameters (extinction coefficient, surface area concentration and volume concentration) from ceilometer measurements is presented. A numerical model has been set up to derive a mean functional relationships between backscatter and the above mentioned parameters based on a large set of simulated aerosol optical properties. A good agreement was found between the modeled backscatter and extinction coefficients and the ones measured by the EARLINET Raman lidars. The developed methodology has then been applied to the measurements acquired by a prototype Polarization Lidar-Ceilometer (PLC). This PLC instrument was developed within the EC- LIFE+ project “DIAPASON” as an upgrade of the commercial, single-channel Jenoptik CHM15k system. The PLC run continuously (h24) close to Rome (Italy) for a whole year (2013-2014). Retrievals of the aerosol backscatter coefficient at 1064 nm and of the relevant aerosol properties were performed using the proposed methodology. This information, coupled to some key aerosol type identification made possible by the depolarization channel, allowed a year-round characterization of the aerosol field at this site. Examples are given to show how this technology coupled to appropriate data inversion methods is potentially useful in the operational monitoring of parameters of air quality and meteorological interest. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2100-014X |
| Relation: |
https://doaj.org/toc/2100-014X |
| DOI: |
10.1051/epjconf/201611923004 |
| Access URL: |
https://doaj.org/article/b7737a727f5f493abff1a0aaa6731f2c |
| Accession Number: |
edsdoj.b7737a727f5f493abff1a0aaa6731f2c |
| Database: |
Directory of Open Access Journals |
