Huo et al. (2026) A Dual-Cycle Assimilation Approach for Rapid, High-Resolution Fusion of Model-Simulated and Satellite-Observed Land Surface Temperatures

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Zehua Huo, Xupeng Sun, Liang Li, Min He, Haiyi Yang, Jun Qin
• DOI: 10.1109/jstars.2026.3670166

Research Groups

N/A

Short Summary

This paper introduces a dual-cycle assimilation approach for rapid, high-resolution fusion of land surface temperatures obtained from models and satellite observations.

Objective

• To develop and apply a dual-cycle assimilation approach for rapid, high-resolution fusion of model-simulated and satellite-observed land surface temperatures.

Study Configuration

• Spatial Scale: High-resolution
• Temporal Scale: Rapid (related to assimilation cycle)

Methodology and Data

• Models used: Model-simulated land surface temperatures (specific models not detailed in provided text)
• Data sources: Satellite-observed land surface temperatures (specific satellites/sensors not detailed in provided text)

Main Results

N/A

Contributions

N/A

Funding

N/A

Citation

@article{Huo2026DualCycle,
  author = {Huo, Zehua and Sun, Xupeng and Li, Liang and He, Min and Yang, Haiyi and Qin, Jun},
  title = {A Dual-Cycle Assimilation Approach for Rapid, High-Resolution Fusion of Model-Simulated and Satellite-Observed Land Surface Temperatures},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3670166},
  url = {https://doi.org/10.1109/jstars.2026.3670166}
}