Articles | Volume 18, issue 8
https://doi.org/10.5194/essd-18-5773-2026
© 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-18-5773-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Corrected event dataset of FengYun-4A Lightning Mapping Imager (FY-4A LMI), 2019–2023
Yuansheng Zhang
State Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Xiushu Qie
CORRESPONDING AUTHOR
State Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Rubin Jiang
CORRESPONDING AUTHOR
State Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Dongjie Cao
National Satellite Meteorological Center, Chinese Meteorological Administration, Beijing 100081, China
Jing Yang
State Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Dongfang Wang
State Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Mingyuan Liu
State Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Dongxia Liu
State Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Zhuling Sun
State Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Hongbo Zhang
State Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Shanfeng Yuan
State Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-395, https://doi.org/10.5194/essd-2024-395, 2024
Revised manuscript not accepted
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Based on the MicroWave Radiation Imager aboard FY-3 series satellites, we developed a global terrestrial precipitable water vapor dataset from 2012 to 2020. This dataset overcomes the limitations of infrared observations and provides accurate, all-weather PWV data ,spanning all types of land surface. Researchers are expected to leverage it to explore the role of water vapor in weather patterns, refine precipitation forecasting, and validate climate simulations.
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A vigorous surface ozone surge event of stratospheric origin occurred in the North China Plain at night. Surface ozone concentrations were 40–50 ppbv higher than the corresponding monthly mean, whereas surface carbon monoxide concentrations declined abruptly, which confirmed the direct stratospheric intrusions to the surface. We further addressed the notion that a combined effect of the dying typhoon and mesoscale convective systems was responsible for this vigorous ozone surge.
Mengyu Sun, Dongxia Liu, Xiushu Qie, Edward R. Mansell, Yoav Yair, Alexandre O. Fierro, Shanfeng Yuan, Zhixiong Chen, and Dongfang Wang
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By acting as cloud condensation nuclei (CCN), increasing aerosol loading tends to enhance lightning activity through microphysical processes. We investigated the aerosol effects on the development of a thunderstorm. A two-moment bulk microphysics scheme and bulk lightning model were coupled in the WRF Model to simulate a multicell thunderstorm. Sensitivity experiments show that the enhancement of lightning activity under polluted conditions results from an increasing ice crystal number.
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Short summary
This study presents a corrected 2019–2023 dataset for the FengYun-4A Lightning Mapping Imager, with geolocation accuracy better than 15 km, referenced to the World Wide Lightning Location Network. This open‑access resource enhances lightning monitoring and atmospheric research.
This study presents a corrected 2019–2023 dataset for the FengYun-4A Lightning Mapping Imager,...
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