Yue Hou
Papers
1
Total Citations
32
H-Index
1
About
Yue Hou is a leading researcher in atmospheric science and air quality modeling, with a focus on integrating satellite data to improve environmental forecasts. Her work centers on the assimilation of aerosol optical depth (AOD) data from Chinese satellites, particularly the FY-3/MERSI instrument, to enhance the prediction of severe pollution events. Her most-cited study, "Assessing the impact of Chinese FY-3/MERSI AOD data assimilation on air quality forecasts: Sand dust events in northeast China" (2019), has garnered 32 citations and demonstrates a critical contribution to operational forecasting. By showing how satellite-derived AOD can be effectively assimilated into chemical transport models, Hou has advanced the ability to predict sand and dust storms—a major public health and environmental challenge in East Asia. Her work bridges remote sensing and numerical modeling, offering practical tools for early warning systems. Hou’s research is particularly notable for its focus on Chinese satellite data, supporting domestic environmental monitoring capabilities. Her findings have implications for both regional air quality management and global dust cycle studies, marking her as a rising authority in satellite data assimilation for atmospheric science.
Research Focus
Key Achievements
Top Papers
- 1