Fu et al. (2025) Enhanced Boundary Layer Thermodynamics Profiles Retrieval From Ground-Based Microwave Radiometers With Surface and Pseudo-Tower Constraints

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2025
• Date: 2025-12-23
• Authors: Disong Fu, Jingmiao Zhu, Xiangao Xia, Yunjie Xia, H. L Shi, Xuebo Fan, Lin Li, Xian Xiao, Xinlei Han
• DOI: 10.1109/tgrs.2025.3647672

Research Groups

[Information not available in the provided text.]

Short Summary

This paper focuses on improving the accuracy of atmospheric boundary layer thermodynamic profiles (e.g., temperature, humidity) retrieved from ground-based microwave radiometers by incorporating surface observations and pseudo-tower data as additional constraints.

Objective

• To enhance the retrieval accuracy of boundary layer thermodynamic profiles from ground-based microwave radiometers by integrating surface and pseudo-tower observational constraints.

Study Configuration

• Spatial Scale: Local (point measurements from ground-based sensors).
• Temporal Scale: Implied continuous or high-frequency measurements for atmospheric profiling.

Methodology and Data

• Models used: Retrieval algorithms for processing ground-based microwave radiometer data (specific models not mentioned).
• Data sources: Ground-based microwave radiometer observations, surface meteorological observations, and pseudo-tower data (e.g., derived from models or nearby sensors).

Main Results

[Specific quantitative results are not available in the provided text. Expected results would demonstrate improved accuracy, reduced uncertainty, or enhanced vertical resolution of retrieved temperature and humidity profiles compared to unconstrained methods.]

Contributions

• Development or refinement of a retrieval methodology for boundary layer thermodynamic profiles, offering enhanced accuracy by leveraging additional observational constraints.
• Potential for improved atmospheric monitoring, nowcasting, and model assimilation through more reliable ground-based remote sensing data.

Funding

[Information not available in the provided text.]

Citation

@article{Fu2025Enhanced,
  author = {Fu, Disong and Zhu, Jingmiao and Xia, Xiangao and Xia, Yunjie and Shi, H. L and Fan, Xuebo and Li, Lin and Xiao, Xian and Han, Xinlei},
  title = {Enhanced Boundary Layer Thermodynamics Profiles Retrieval From Ground-Based Microwave Radiometers With Surface and Pseudo-Tower Constraints},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2025},
  doi = {10.1109/tgrs.2025.3647672},
  url = {https://doi.org/10.1109/tgrs.2025.3647672}
}