Zengliang Zang
Orcid: 0009-0002-8979-4507
  According to our database1,
  Zengliang Zang
  authored at least 13 papers
  between 2016 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2025
M4Caster: Multi-source, multi-spatial, multi-temporal modeling for precipitation nowcasting.
    
  
    Neurocomputing, 2025
    
  
  2024
Optimizing the Numerical Simulation of the Dust Event of March 2021: Integrating Aerosol Observations through Multi-Scale 3D Variational Assimilation in the WRF-Chem Model.
    
  
    Remote. Sens., June, 2024
    
  
Generating Hourly Fine Seamless Aerosol Optical Depth Products by Fusing Multiple Satellite and Numerical Model Data.
    
  
    IEEE Trans. Geosci. Remote. Sens., 2024
    
  
FsrGAN: A Satellite and Radar-Based Fusion Prediction Network for Precipitation Nowcasting.
    
  
    IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
    
  
The Impact of Firework Ban Relaxation on Variations in SO2 Emissions in China During the 2023 Chinese New Year.
    
  
    Remote. Sens., 2024
    
  
SCRD: A Spatiotemporal Cues-Guided Residual Diffusion Model for Precipitation Nowcasting.
    
  
    IEEE Geosci. Remote. Sens. Lett., 2024
    
  
  2023
    Remote. Sens., February, 2023
    
  
A Heterogeneous Spatiotemporal Attention Fusion Prediction Network for Precipitation Nowcasting.
    
  
    IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
    
  
  2022
3DVAR Aerosol Data Assimilation and Evaluation Using Surface PM2.5, Himawari-8 AOD and CALIPSO Profile Observations in the North China.
    
  
    Remote. Sens., 2022
    
  
Optimization and Evaluation of SO2 Emissions Based on WRF-Chem and 3DVAR Data Assimilation.
    
  
    Remote. Sens., 2022
    
  
ED-DRAP: Encoder-Decoder Deep Residual Attention Prediction Network for Radar Echoes.
    
  
    IEEE Geosci. Remote. Sens. Lett., 2022
    
  
  2021
    Remote. Sens., 2021
    
  
  2016
National-Scale Estimates of Ground-Level PM2.5 Concentration in China Using Geographically Weighted Regression Based on 3 km Resolution MODIS AOD.
    
  
    Remote. Sens., 2016