Articles | Volume 17, issue 10
https://doi.org/10.5194/essd-17-5137-2025
© Author(s) 2025. 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-17-5137-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
02 Oct 2025
Data description article |
| 02 Oct 2025
| 02 Oct 2025
A new dataset of rain cells based on observations of Tropical Rainfall Measuring Mission (TRMM) precipitation radar, visible/infrared scanner and microwave imager
Zhenhao Wu
School of Earth and Space Sciences, CMA-USTC Laboratory of Fengyun Remote Sensing, University of Science and Technology of China, Hefei, 230026, China
Jian Shang
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center, China Meteorological Administration, Beijing, 100081, China
Chunguan Cui
Institute of Heavy Rain, China Meteorological Administration, Wuhan, 430205, China
Peng Zhang
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center, China Meteorological Administration, Beijing, 100081, China
Songyan Gu
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center, China Meteorological Administration, Beijing, 100081, China
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center, China Meteorological Administration, Beijing, 100081, China
Yunfei Fu
CORRESPONDING AUTHOR
School of Earth and Space Sciences, CMA-USTC Laboratory of Fengyun Remote Sensing, University of Science and Technology of China, Hefei, 230026, China
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Nan Sun, Gaopeng Lu, and Yunfei Fu
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Global precipitable water vapor (PWV) derived from MERSI-II (Medium Resolution Spectral Imager) is compared with PWV from the Integrated Global Radiosonde Archive (IGRA). Our results show a good agreement between PWV from MERSI-II and IGRA and that MERSI-II PWV is slightly underestimated on the whole, especially in summer. The bias between MERSI-II and IGRA grows with a larger spatial distance between the footprint of the satellite and the IGRA station, as well as increasing PWV.
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The result shows dust aerosols from the Taklimakan Desert have higher aerosol scattering during dust storm cases of this paper, and this caused higher negative direct radiative forcing efficiency (DRFEdust) than aerosols from the Sahara.
The microphysical properties and particle shapes of dust aerosol significantly influence DRFEdust. The satellite-based equi-albedo method has a unique advantage in DRFEdust estimation: it could validate the results derived from the numerical model directly.
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Short summary
We have established a new dataset of rain cell precipitation parameters and visible-infrared and microwave signals by combining multi-instrument observation data from the Tropical Rainfall Measuring Mission (TRMM). The purpose of this dataset is to promote the three-dimensional studies of rain cell precipitation systems and to reveal the spatial and temporal variations in their scale, morphology, and intensity.
We have established a new dataset of rain cell precipitation parameters and visible-infrared and...
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