Articles | Volume 18, issue 1
https://doi.org/10.5194/essd-18-371-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-371-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
14 Jan 2026
Data description paper |
| 14 Jan 2026
| 14 Jan 2026
An hourly 0.02° total precipitable water dataset for all-weather conditions over the Tibetan Plateau through the fusion of observations of geostationary and multi-source microwave satellites
Qixiang Sun
State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China
State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Yongqian Wang
College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China
Peng Zhang
Meteorological Observation Center, China Meteorological Administration, Beijing, 100081, China
State Key Laboratory of Environment Characteristics and Effects for Near-space, Beijing 10081, China
Hong Liang
Meteorological Observation Center, China Meteorological Administration, Beijing, 100081, China
Chong Shi
State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Shuai Yin
State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Jiancheng Shi
National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
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Short summary
The Tibetan Plateau plays a vital role in Asia’s water cycle, but tracking water vapor in this mountainous region is difficult, especially under cloudy conditions. We developed a new satellite-based method to generate hourly water vapor data at 0.02-degree resolution from 2016 to 2022, now available at https://doi.org/10.11888/Atmos.tpdc.301518, which improves accuracy and reveals fine-scale moisture transport critical for understanding rainfall and extreme weather.
The Tibetan Plateau plays a vital role in Asia’s water cycle, but tracking water vapor in this...
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