Articles | Volume 19, issue 20
https://doi.org/10.5194/amt-19-6857-2026
© 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/amt-19-6857-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global sampling characteristics and coverage complementarity of 12 GNSS radio occultation constellations
Wenqiang Lu
National Satellite Meteorological Center/National Center for Space Weather, Beijing 100081, China
Innovation Center for Fengyun Meteorological Satellite (FYSIC), Beijing 100081, China
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, CMA, Beijing 100081, China
Ran Chen
National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Na Xu
CORRESPONDING AUTHOR
National Satellite Meteorological Center/National Center for Space Weather, Beijing 100081, China
Innovation Center for Fengyun Meteorological Satellite (FYSIC), Beijing 100081, China
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, CMA, Beijing 100081, China
Xiangguang Meng
CORRESPONDING AUTHOR
National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Lei Xue
National Meteorological Information Center, China Meteorology Administration,Beijing 100081,China
Mi Liao
National Satellite Meteorological Center/National Center for Space Weather, Beijing 100081, China
Innovation Center for Fengyun Meteorological Satellite (FYSIC), Beijing 100081, China
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, CMA, Beijing 100081, China
Yan Liu
Earth System Modeling and Prediction Center, China Meteorology Administration, Beijing 100081, China
Peng Guo
Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China
Guanglin Yang
National Satellite Meteorological Center/National Center for Space Weather, Beijing 100081, China
Innovation Center for Fengyun Meteorological Satellite (FYSIC), Beijing 100081, China
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, CMA, Beijing 100081, China
Xiuqing Hu
National Satellite Meteorological Center/National Center for Space Weather, Beijing 100081, China
Innovation Center for Fengyun Meteorological Satellite (FYSIC), Beijing 100081, China
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, CMA, Beijing 100081, China
Xiangang Zhao
National Satellite Meteorological Center/National Center for Space Weather, Beijing 100081, China
Innovation Center for Fengyun Meteorological Satellite (FYSIC), Beijing 100081, China
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, CMA, Beijing 100081, China
Yueqiang Sun
National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Model code and software
Plotting scripts for: Global Sampling Characteristics and Coverage Complementarity of 12 GNSS Radio Occultation Constellations Wenqiang Lu and Ran Chen https://doi.org/10.5281/zenodo.21866427
Short summary
Global satellite navigation system occultation data is one of the important sources for weather forecasting. As more and more occultation missions are launched, it's becoming really important to understand how these constellations work together. This study found that combining data from 12 constellations greatly increases time and space coverage, but some missions are still essential for observing tropical regions. These findings provide guidance for future satellite planning.
Global satellite navigation system occultation data is one of the important sources for weather...
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