Zhao et al. (2026) A Deep Learning-Based Model for Nowcasting of Convective Initiation Using Infrared Observations

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Huijie Zhao, Xiaohang Ma, Guorui Jia, Jialu Xu, Yihan Xie, Y. B. Zhao
• DOI: 10.1109/jstars.2025.3650686

Research Groups

This paper proposes a deep learning-based model for the nowcasting of convective initiation, utilizing infrared observations.

Objective

• To develop and evaluate a deep learning-based model for the nowcasting of convective initiation.

Study Configuration

• Spatial Scale:
• Temporal Scale: Nowcasting (short-term prediction)

Methodology and Data

• Models used: Deep Learning-Based Model
• Data sources: Infrared Observations

Main Results

Contributions

Funding

Citation

@article{Zhao2026Deep,
  author = {Zhao, Huijie and Ma, Xiaohang and Jia, Guorui and Xu, Jialu and Xie, Yihan and Zhao, Y. B.},
  title = {A Deep Learning-Based Model for Nowcasting of Convective Initiation Using Infrared Observations},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2025.3650686},
  url = {https://doi.org/10.1109/jstars.2025.3650686}
}