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
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:
- Innovative methods for monitoring atmospheric composition;
- Hardware development for LIDAR systems;
- Models for quantifying gas fluxes;
- The collaborative observation of greenhouse and pollution gases;
- Measurements for stratospheric meteorology.
Dr. Xin Ma
Guest Editor
Manuscript Submission Information
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Keywords
- atmospheric composition
- hardware development for LIDAR
- gas fluxes
- collaborative observation
- meteorology
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