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 Dr. Tatiana Loboda. 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), supervised by Dr. Dongdong Wang. 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

  1. transformer.jpg
    Transformer approach to nowcasting solar energy using geostationary satellite data
    Ruohan Li, Dongdong Wang, Zhihao Wang, and 4 more authors
    Applied Energy, 2024
    HTML PDF
  2. solarcube.png
    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
    HTML PDF
  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
    HTML PDF

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
    HTML PDF
  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
    HTML PDF

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
    HTML PDF

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
    Bib HTML PDF