Min Min

China Meteorological Administration

Papers

4

Total Citations

118

H-Index

4

About

Min Min is a leading researcher in atmospheric aerosol science and satellite radiometric calibration, with a career focused on quantifying the Earth’s radiative balance and improving the accuracy of space-based observations. Her foundational work includes a highly cited 2016 study on how the diurnal variation of aerosol content influences estimates of direct aerosol radiative forcing using MODIS data (45 citations), and a 2015 analysis of aerosol optical depth variation across China from 1993 to 2012 (43 citations), which provided critical insights into regional climate and air quality trends. More recently, Min has pioneered the use of the Moon as a stable calibration target for Earth-observing satellites. Her 2017 development of a novel hyperspectral lunar irradiance model, based on the ROLO dataset and mean equigonal albedo (19 citations), addresses a key limitation in using lunar observations for radiometric calibration of reflective solar bands. This work led to a 2019 paper on cross-calibrating multiple sensors with the Moon as an intermediate reference (11 citations), offering a practical solution for harmonizing data across satellite missions. Min’s contributions are essential for advancing climate modeling and ensuring the long-term consistency of global satellite records.

Research Focus

Key Achievements

4
H-Index
4
Papers
118
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
On the influence of the diurnal variations of aerosol content to estimate direct aerosol radiative forcing using MODIS data
45 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: China Meteorological Administration

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago