Development of LIDAR Techniques for Atmospheric Remote Sensing (2nd Edition)

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Quality".

Deadline for manuscript submissions: 24 January 2025 | Viewed by 1073

Special Issue Editor

School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 4730079, China
Interests: lidar remote sensing; oceanic lidar; lidar system design
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is the second volume in a series of publications dedicated to “Development of LIDAR Techniques for Atmospheric Remote Sensing” (https://www.mdpi.com/journal/atmosphere/special_issues/LIDAR_Atmos).

LIDAR is an important active remote sensing tool to monitor atmospheric components such as aerosols, temperature, pollutant gases and greenhouse gases (e.g., CALIPSO, ACDL, and Aeolus) during the day and night. By monitoring aerosols, we can analyze their concentrations, distributions and types to study their impact on the weather, climate and human health. Atmospheric temperature distribution data obtained via LIDAR help to understand the pattern of temperature change and support weather and climate prediction. In addition, LIDAR can monitor pollutant gases and greenhouse gases, helping to track the causes of extreme pollution events, study the process of the carbon cycle, and gain insights into the mechanism of global climate change.

This Special Issue aims to present the latest research in the system development and applications of LIDAR in the atmosphere. We invite you to submit articles on your recent research on LIDAR system development with respect to the following topics:

  1. Innovative methods for monitoring atmospheric composition;
  2. Hardware development for LIDAR systems;
  3. Models for quantifying gas fluxes;
  4. The collaborative observation of greenhouse and pollution gases;
  5. Measurements for stratospheric meteorology.

Dr. Xin Ma
Guest Editor

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Keywords

  • atmospheric composition
  • hardware development for LIDAR
  • gas fluxes
  • collaborative observation
  • meteorology

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Published Papers (1 paper)

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Research

21 pages, 4050 KiB  
Article
Fiber Lidar for Control of the Ecological State of the Atmosphere
by Sergei N. Volkov, Nikolai G. Zaitsev, Sun-Ho Park, Duk-Hyeon Kim and Young-Min Noh
Atmosphere 2024, 15(6), 729; https://doi.org/10.3390/atmos15060729 - 18 Jun 2024
Viewed by 625
Abstract
Methods and means of remote control of the ecological state of the atmosphere are constantly improving. Lidar sensing allows obtaining up-to-date information about natural and technogenic sources of atmospheric pollution. There is a wide range of problems in ecological control, where the deployment [...] Read more.
Methods and means of remote control of the ecological state of the atmosphere are constantly improving. Lidar sensing allows obtaining up-to-date information about natural and technogenic sources of atmospheric pollution. There is a wide range of problems in ecological control, where the deployment of an inexpensive mobile lidar network is required. For this purpose, it is suggested to use Q-switch and MOPA fiber lasers in lidars. Q-switch fiber lasers have a simpler design and are more practical to use. However, pulses from Q-switch lasers have long full-pulse durations. In the present work, a lidar signal inversion method (LSIM) is proposed for solving this problem. Verification and outdoor experimentation of the LSIM was carried out with the reference signal method (RSM). The advantage of the proposed RSM is the minimum number of controllable parameters necessary for LSIM verification and approbation. As a result, the accuracy of the obtained results increased. Thus, the possibility of application of the Q-switch fiber lasers for lidar sensing is shown both theoretically and experimentally. Full article
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