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 postdoctoral research associate in the Department of Geographical Sciences at the University of Maryland, College Park, working with Dr. Yiqun Xie, and a member of Global Ecology Lab.

My research uses AI to integrate remote sensing, in situ observations, and process-based models to enable robust, high-resolution, and scalable Earth-system monitoring and forecasting and develops </strong>user-inspired AI methods</strong> for mining spatiotemporal data to address geospatial challenges. My work spans land–atmosphere interactions and surface energy and radiative fluxes, high-resolution cloud and radiance nowcasting, and modeling and forecasting of terrestrial ecosystem dynamics.

During my PhD, I contributed to several NASA satellite products, including MODIS/Terra+Aqua MCD18, VIIRS VNP18A1, and AHI/ABI GeoNEX DSR/PAR, supervised by Dr. Dongdong Wang. In parellel, I use machine learning to address the accuracy–efficiency trade-off that limits physics-based retrievals at higher spatial resolution.

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

latest posts

selected publications

2025

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    Scenario-Based Evaluation of Probabilistic Time Series Forecasting for Solar Energy
    Ruohan Li, Yiqun Xie, Xiaowei Jia, and 4 more authors
    In Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

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
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    SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
    Ruohan Li, Yiqun Xie, Xiaowei Jia, and 5 more authors
    In NeurIPS Datasets and Benchmarks Track, 2024
  3. MCD18.png
    MCD18 V6.2: A New Version of MODIS Downward Shortwave Radiation and Photosynthetically Active Radiation Products
    Ruohan Li, Dongdong Wang, Sadashiva Devadiga, and 2 more authors
    IEEE Geoscience and Remote Sensing Letters, 2024

2023

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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, 2023
  2. compare.png
    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

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