Iodine-filter-based high spectral resolution lidar for atmospheric temperature measurements

Area of Science:

• Atmospheric Science
• Remote Sensing
• Optical Physics

Background:

• Accurate atmospheric temperature profiles are crucial for weather forecasting and climate modeling.
• Traditional methods like radiosondes have limitations in spatial and temporal resolution.
• Developing advanced remote sensing techniques for atmospheric profiling is essential.

Purpose of the Study:

• To present a novel method for measuring atmosphere temperature profiles using a single iodine filter as a frequency discriminator.
• To demonstrate the capability of a reconfigured high spectral resolution lidar (HSRL) system for vertical temperature profiling.
• To validate the HSRL system's performance through concurrent observations with radiosondes.

Main Methods:

• A high spectral resolution lidar (HSRL) system was reconfigured using a mobile Doppler wind lidar transmitter.
• The receiving subsystem was redesigned to pass backscattering optical signals through an iodine cell twice for enhanced filtering.
• Aerosol scattering signals were filtered out, allowing analysis of the molecular scattering spectrum to determine temperature.

Main Results:

• The HSRL system achieved vertical temperature profiling from the ground to 16 km altitude.
• The system's power-aperture product was 0.35 Wm(2).
• Temperature profiles obtained by the HSRL system showed good agreement with concurrent L-band radiosonde observations on June 14 and August 3, 2008.

Conclusions:

• The developed HSRL system provides a reliable method for atmospheric temperature profiling.
• This technique offers a valuable alternative or complement to traditional atmospheric measurement methods.
• The HSRL system demonstrates significant potential for atmospheric research and operational monitoring.