Hydrology and Climate Change Article Summaries

Dong et al. (2026) Complex-terrain correction of land surface temperature using a temporal–spatial coupling data-driven model

Identification

Research Groups

Ben Dong, Rongcai Song, Lirui Luo, Xiushi Jiang, Haiwen Chen, Bo Li, Feng Zheng, Yingchun Wang

Short Summary

This paper introduces a novel temporal–spatial coupling data-driven model designed to improve the accuracy of land surface temperature (LST) measurements in complex terrain by correcting for associated errors.

Objective

Study Configuration

Methodology and Data

Main Results

Not specified in the provided text, but the title implies the successful application of the developed model for LST correction in complex terrain.

Contributions

The primary contribution is the development and application of a new temporal–spatial coupling data-driven model specifically tailored for correcting land surface temperature in challenging complex terrain environments, addressing a known limitation in LST accuracy.

Funding

Not specified in the provided text.

Citation

@article{Dong2026Complexterrain,
  author = {Dong, Ben and Song, Rongcai and Luo, Lirui and Jiang, X. W. and Chen, Haiwen and Li, Baojun and Zheng, Feng and Wang, Yingchun},
  title = {Complex-terrain correction of land surface temperature using a temporal–spatial coupling data-driven model},
  journal = {Journal of Hydrology},
  year = {2026},
  doi = {10.1016/j.jhydrol.2026.135405},
  url = {https://doi.org/10.1016/j.jhydrol.2026.135405}
}

Original Source: https://doi.org/10.1016/j.jhydrol.2026.135405