Ruohan Li

r526li AT umd.edu
Department of Geographical Sciences
University of Maryland
College Park, MD 20742

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Hello and welcome! I’m a PhD student in the Department of Geographical Sciences at the University of Maryland, College Park, working with Dr. Dongdong Wang. My research focuses extensively on leveraging deep learning and advanced analytical methods to interpret Earth system dynamics.

In my PhD, I’m working on projects combining satellite data, real-world measurements, and radiative transfer models (RTM). I use machine learning to improve the estimation and forecasting accuracy of surface Downward Shortwave Radiation (DSR). Now, I’m looking into machine learning that integrates physical laws to improve how we understand environmental changes.

Before I joined UMD, I graduated with a B.E. from Wuhan University, China, and a B.S. from the University of Waterloo, Canada.

selected publications

2024

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    Transformer approach to nowcasting solar energy using geostationary satellite data
    Ruohan Li, Dongdong Wang, Zhihao Wang, and 4 more authors
    Applied Energy, 2024

2023

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    Comparison between deep learning architectures for the 1 km, 10/15-min estimation of downward shortwave radiation from AHI and ABI
    Ruohan Li, Dongdong Wang, and Shunlin Liang
    Remote Sensing of Environment, 2023

2022

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    Estimating global downward shortwave radiation from VIIRS data using a transfer-learning neural network
    Ruohan Li, Dongdong Wang, Shunlin Liang, and 2 more authors
    Remote Sensing of Environment, 2022
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    A GeoNEX-based high spatiotemporal resolution product of land surface downward shortwave radiation and photosynthetically active radiation
    Ruohan Li, Dongdong Wang, Weile Wang, and 1 more author
    Earth System Science Data Discussions, 2022

2021

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    Comprehensive assessment of five global daily downward shortwave radiation satellite products
    Ruohan Li, Dongdong Wang, and Shunlin Liang
    Science of Remote Sensing, 2021