He (2025) A Self-Calibrating Retrieval Algorithm for Three-phase water Raman Lidar Incorporating Temperature-Dependent Spectral Characteristics

Identification

• Journal: Mendeley Data
• Year: 2025
• Date: 2025-11-28
• Authors: He, Chunhui
• DOI: 10.17632/mmzttzt9vs.2

Research Groups

• Harbin Institute of Technology Shenzhen

Short Summary

This paper introduces a novel self-calibrating retrieval algorithm for three-phase water Raman lidar, designed to derive atmospheric three-phase water profiles by incorporating temperature-dependent spectral characteristics. It also describes the associated data collected using a Raman lidar system.

Objective

• To develop a novel self-calibrating retrieval algorithm for three-phase water Raman lidar that incorporates temperature-dependent spectral characteristics to derive atmospheric three-phase water profiles.

Study Configuration

• Spatial Scale: Vertical atmospheric profiles above Boluo station in Huizhou, Guangdong Province, China.
• Temporal Scale: 6 hours, from 20:00 LST on August 21st to 2:00 LST on August 22nd.

Methodology and Data

• Models used: A novel self-calibrating retrieval algorithm for three-phase water Raman lidar.
• Data sources:
  • Raman lidar system: Acquired Raman backscattered signals from three-phase water.
  • Dedicated Raman temperature lidar: Provided temperature profiles.
  • Polarization lidar system: Provided depolarization ratio measurements.
  • Data collected: Three-phase water, temperature, and depolarization ratio data.

Main Results

• The paper presents the development of a novel self-calibrating retrieval algorithm for three-phase water Raman lidar.
• It describes the acquisition of three-phase water, temperature, and depolarization ratio data over a 6-hour period using a multi-lidar system.
• The algorithm is designed to derive atmospheric three-phase water profiles by integrating temperature-dependent spectral characteristics.

Contributions

• Development of a novel self-calibrating retrieval algorithm for three-phase water Raman lidar.
• Introduction of temperature-dependent spectral characteristics into the retrieval algorithm for improved accuracy in deriving three-phase water profiles.
• Provision of a dataset comprising three-phase water, temperature, and depolarization ratio measurements for algorithm development and testing.

Funding

• Not specified in the provided text.

Citation

@article{He2025SelfCalibrating,
  author = {He, Chunhui},
  title = {A Self-Calibrating Retrieval Algorithm for Three-phase water Raman Lidar Incorporating Temperature-Dependent Spectral Characteristics},
  journal = {Mendeley Data},
  year = {2025},
  doi = {10.17632/mmzttzt9vs.2},
  url = {https://doi.org/10.17632/mmzttzt9vs.2}
}