Atmospheric Applications of Lidar

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: closed (31 August 2019) | Viewed by 11463

Special Issue Editor


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Guest Editor
CNRM Centre National de Recherches Meteorologiques, Toulouse, France
Interests: observation of the atmosphere; remote sensing; lidars; atmospheric dynamics; aerosols; fog

Special Issue Information

Dear Colleagues,

Using laser beams for atmosphere sounding developed soon after the invention of the laser by T. Maiman in 1960. In 1964, for instance, Fiocco and Grams published an article showing for the first time the detection of aerosol particles in the high atmosphere with a ruby laser. The observation and characterization of aerosols throughout the atmosphere have become common with lidars of growing complexity (multi-wavelengths, polarisation diversity), now often integrated in networks. The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was launched in 2006 and is still orbiting the earth. Lidar aerosol observations are now used for the forecast of air quality. Doppler lidars were developed in the 80s and 90s for the observation of the wind field in the lower or higher atmosphere. They are now commercially available and widely deployed around the world for the wind energy industry, the surveillance of airports, etc. A wind lidar – the AEOLUS mission – has been recently launched into space. Lidar for the measurement of vertical profiles of temperature, humidity, concentration of gaseous components of the atmosphere have also been built, envisaged for space missions, and improve thanks to the progress made in the laser and detector technologies.

The Special Issue will attempt to give an overview of the latest developments in both the lidar technology and scientific as well as industrial applications for the observation of the atmosphere.

Dr. Alain M. Dabas
Guest Editor

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Keywords

  • Cloud
  • Aerosols
  • Wind
  • Temperature
  • Humidity
  • Atmospheric composition
  • Green-house gases
  • Troposphere
  • Stratosphere
  • Space missions
  • Air quality
  • Weather
  • Climate

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Published Papers (3 papers)

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Research

17 pages, 5087 KiB  
Article
Study of Persistent Foggy-Hazy Composite Pollution in Winter over Huainan Through Ground-Based and Satellite Measurements
by Songlin Fu, Chenbo Xie, Peng Zhuang, Xiaomin Tian, Zhanye Zhang, Bangxin Wang and Dong Liu
Atmosphere 2019, 10(11), 656; https://doi.org/10.3390/atmos10110656 - 28 Oct 2019
Cited by 15 | Viewed by 2840
Abstract
Through the observation of ground-based LIDAR and satellite sensors, the weather conditions of continuous foggy-hazy alternations in the Huainan region from 26 December 2016 to 5 January 2017 were analyzed and observed. In this study, the formation and influence of this event were [...] Read more.
Through the observation of ground-based LIDAR and satellite sensors, the weather conditions of continuous foggy-hazy alternations in the Huainan region from 26 December 2016 to 5 January 2017 were analyzed and observed. In this study, the formation and influence of this event were discussed by analyzing pollutant concentrations, meteorological factors and aerosol optical characteristics. The concentrations of PM10 and PM2.5 increased significantly. The maximum value of PM10 was 412 μg/m3, and the maximum value of PM2.5 was 258 μg/m3. The transportation of pollutants and the production of man-made pollutants promote the accumulation of pollutants. In this weather process, meteorological factors such as the surface wind speed, humidity, surface temperature, and inversion also promote the accumulation of pollutants, which is the main reason for the formation of this weather process. Furthermore, the near surface air mass mainly came from the cities near the Huainan region and the heavily polluted areas in the north, while the upper air mass came from Inner Mongolia. In this paper, piecewise inversion was adopted to achieve accurate all-weather extinction coefficient profile inversion by reasonably selecting a cloud LIDAR ratio through a backscatter ratio, and the LIDAR ratio of cloud in this period was 22.57–34.14 Sr. By means of extinction coefficient inversion and correlation analysis, the correlation index of PM2.5 and the aerosol optical depth (AOD) was 0.7368, indicating that there was a positive correlation between PM2.5 and AOD, and AOD can also reflect the pollution condition of this region. The formation process of foggy-hazy weather in the Huainan region studied in this paper can provide a research basis for foggy-hazy pollution in this region. Full article
(This article belongs to the Special Issue Atmospheric Applications of Lidar)
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10 pages, 4518 KiB  
Article
Three-Dimensional Wind Measurements with the Fibered Airborne Coherent Doppler Wind Lidar LIVE
by Beatrice Augere, Matthieu Valla, Anne Durécu, Agnès Dolfi-Bouteyre, Didier Goular, François Gustave, Christophe Planchat, Didier Fleury, Thierry Huet and Claudine Besson
Atmosphere 2019, 10(9), 549; https://doi.org/10.3390/atmos10090549 - 16 Sep 2019
Cited by 8 | Viewed by 4186
Abstract
A three-dimensional (3D) wind profiling Lidar, based on the latest high power 1.5 µm fiber laser development at Onera, has been successfully flown on-board a SAFIRE (Service des Avions Français Instrumentés pour la Recherche en Environnement) ATR42 aircraft. The Lidar called LIVE (LIdar [...] Read more.
A three-dimensional (3D) wind profiling Lidar, based on the latest high power 1.5 µm fiber laser development at Onera, has been successfully flown on-board a SAFIRE (Service des Avions Français Instrumentés pour la Recherche en Environnement) ATR42 aircraft. The Lidar called LIVE (LIdar VEnt) is designed to measure wind profiles from the aircraft down to ground level, with a horizontal resolution of 3 km, a vertical resolution of 100 m and a designed accuracy on each three wind vector components better than 0.5 m.s−1. To achieve the required performance, LIVE Lidar emits 410 µJ laser pulses repeating at 14 KHz with a duration of 700 ns and uses a conical scanner of 30° total opening angle and a full scan time of 17 s. Full article
(This article belongs to the Special Issue Atmospheric Applications of Lidar)
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13 pages, 886 KiB  
Article
Optical Energy Variability Induced by Speckle: The Cases of MERLIN and CHARM-F IPDA Lidar
by Vincent Cassé, Fabien Gibert, Dimitri Edouart, Olivier Chomette and Cyril Crevoisier
Atmosphere 2019, 10(9), 540; https://doi.org/10.3390/atmos10090540 - 11 Sep 2019
Cited by 5 | Viewed by 3734
Abstract
In the context of the FrenchGerman space lidar mission MERLIN (MEthane Remote LIdar missioN) dedicated to the determination of the atmospheric methane content, an end-to-end mission simulator is being developed. In order to check whether the instrument design meets the performance requirements, simulations [...] Read more.
In the context of the FrenchGerman space lidar mission MERLIN (MEthane Remote LIdar missioN) dedicated to the determination of the atmospheric methane content, an end-to-end mission simulator is being developed. In order to check whether the instrument design meets the performance requirements, simulations have to count all the sources of noise on the measurements like the optical energy variability induced by speckle. Speckle is due to interference as the lidar beam is quasi monochromatic. Speckle contribution to the error budget has to be estimated but also simulated. In this paper, the speckle theory is revisited and applied to MERLIN lidar and also to the DLR (Deutsches Zentrum für Luft und Raumfahrt) demonstrator lidar CHARM-F. Results show: on the signal path, speckle noise depends mainly on the size of the illuminated area on ground; on the solar flux, speckle is fully negligible both because of the pixel size and the optical filter spectral width; on the energy monitoring path a decorrelation mechanism is needed to reduce speckle noise on averaged data. Speckle noises for MERLIN and CHARM-F can be simulated by Gaussian noises with only one random draw by shot separately for energy monitoring and signal paths. Full article
(This article belongs to the Special Issue Atmospheric Applications of Lidar)
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