Retrieving all-weather precipitable water vapor using near-infrared and thermal infrared observations

This repository contains the data, generated data, and algorithm code used in our research paper. All users of this data or code are required to cite the following paper as acknowledgment of the original authors' work.Citation:Zheng Du, Bao Zhang, Yibin Yao, Qingzhi Zhao, Chaoqian Xu, Qi Zhang, Hongming Li, and Quanyu Chen. (2025). Retrieving all-weather precipitable water vapor using near-infrared and thermal infrared observations. International Journal of Applied Earth Observation and Geoinformation (under review). Zheng Du, Bao Zhang, Yibin Yao, Qingzhi Zhao, Chaoqian Xu, Qi Zhang, Hongming Li, and Quanyu Chen. (2025). Retrieving all-weather precipitable water vapor using near-infrared and thermal infrared observations. [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15468753 Files:This repository includes the following files:01_data/: Folder containing the raw data and generated data used in the study.02_code/: Folder with the algorithm implementation and related scripts.readme.txt: This file, containing instructions on how to use the data, code, and related information. Contact InformationFor any questions or suggestions, feel free to contact us at:Email 1:  [email protected] 2:  [email protected] We are grateful to CDSE, IGRA, and ECMWF for providing the Sentinel-3B, radiosonde, and ERA5 data. We also thank Zenodo for sharing the GNSS PWV data (https://doi.org/10.5281/zenodo.6973528). This work was supported by the Basic Science Center Program of the National Natural Science Foundation of China (42388102), the Key Research and Development Program of Guangxi Province (AB24010144), the Nanning Science and Technology Major Program (20241027), the Fundamental Research Funds for the Central Universities (2042024kf0039), and the China Postdoctoral Science Foundation (GZC20241259).