Title: | Polarization Raman Lidar for Atmospheric Monitoring in the Vipava Valley |
---|
Authors: | ID Wang, Longlong, Univerza v Novi Gorici (Author) ID Stanič, Samo, Univerza v Novi Gorici (Author) ID Eichinger, William, University of Iowa, ZDA (Author) ID Song, Xiaoquan, Ocean University of China, Kitajska (Author) ID Zavrtanik, Marko, Institut Jožef Stefan (Author) |
Files: |
This document has no files that are freely available to the public. This document may have a physical copy in the library of the organization, check the status via COBISS. |
---|
Language: | English |
---|
Work type: | Not categorized |
---|
Typology: | 1.08 - Published Scientific Conference Contribution |
---|
Organization: | UNG - University of Nova Gorica
|
---|
Abstract: | We report on the design, construction and performance of a polarization Raman lidar, built for atmospheric monitoring in the Vipava valley in SW Slovenia, a regional air pollution hot-spot where aerosols are expected to originate from a number of different sources. Its key features are automatized remote operation capability and indoor deployment, which provide high duty cycle in all weather conditions. System optimization and performance studies include the calibration of the depolarization ratio, merging of near-range (analog) and far-range (photon-counting) data, determination of overlap functions and validation of the retrieved observables with radiosonde data. |
---|
Keywords: | polarization Ramal lidar, Vipava valley, atmospheric monitoring |
---|
Publication version: | Version of Record |
---|
Year of publishing: | 2020 |
---|
Number of pages: | 4 |
---|
Numbering: | 237 |
---|
PID: | 20.500.12556/RUNG-5644 |
---|
COBISS.SI-ID: | 21972483 |
---|
DOI: | https://doi.org/10.1051/epjconf/202023702029 |
---|
NUK URN: | URN:SI:UNG:REP:USGESPMI |
---|
Publication date in RUNG: | 08.07.2020 |
---|
Views: | 3799 |
---|
Downloads: | 0 |
---|
Metadata: | |
---|
:
|
Copy citation |
---|
| | | Average score: | (0 votes) |
---|
Your score: | Voting is allowed only for logged in users. |
---|
Share: | |
---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |