About Me
Hi there👋! My name is Wen Zhuo, currently an assistant professor in Chinese Academy of Meteorological Sciences. Prior to this, I conducted postdoctoral research in School of Earth, Environment & Society, McMaster University, supervised by Prof. Alemu Gonsamo. Now, my core research interests center around crop yield estimation and prediction. To address this research question, my research leverages various methods, including process-based model (mainly WOFOST model), data assimilation (integrates remotely sensed observations with crop growth model), and deep learning.
If you are interested in my research, feel free to reach me to discuss relevant research and topics by email: zhuow4@mcmaster.ca or zhuowen1992@foxmail.com (preferred).
📜 Research Interests
- Crop yield estimation
- Crop model data assimilation
- Drought monitoring
- Causal inference, causal effect analysis
🔥 Recent News
[Nov. 2025]
- New paper led by me was published in Journal of Hydrology. This study is to explore the causal pathways among SM, Temperatuer, Precipitation and ocean–atmosphere teleconnection patterns over the Greater Horn of Africa.
[Sep. 2025]
- I become an assistant professor in Chinese Academy of Meteorological Sciences.
[Apr. 2024]
- A new Speciall Issue called “Cropland and Yield Mapping with Multi-source Remote Sensing” in Remote Sensing led by me, Prof. Shibo Fang, Prof. Yi Xie, and Prof. Xiaochuang Yao has been set up, contributions are very welcome!
- A Google Cloud Research Credits Program - “Research on crop yield estimation based on spatiotemporal information attention” has been awarded by Google Cloud Education Programs Team.
[Mar. 2024]
- I will attend EGU2024 at Vienna, Austria in person during Apr. 14-19 (for the first time to attend the assembly).
[Feb. 2024]
New paper led by Dr. Yanru Yu was published in IEEE Transactions on Geoscience and Remote Sensing. This study is to achieve the simple and rapid acquisition of high-precision all-weather high temporal and spatial resolution daily mean land surface temperature data. Download paper here
[Jan. 2024]
- New paper led by Dr. Jiahao Han was published in Science of the Total Environment. The main topic is about the time-continuous LST data simulation using deep learning (U-Net family) Download paper here
