RTSEvo v1.0: a retrogressive thaw slump evolution model

Xu, Jiwei; Zhao, Shuping; Nan, Zhuotong; Niu, Fujun; Zhang, Yaonan

doi:10.5194/gmd-19-2919-2026

Articles | Volume 19, issue 7

https://doi.org/10.5194/gmd-19-2919-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-2919-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 7

Model description paper

|

16 Apr 2026

Model description paper |

| 16 Apr 2026

RTSEvo v1.0: a retrogressive thaw slump evolution model

Jiwei Xu, Shuping Zhao, Zhuotong Nan, Fujun Niu, and Yaonan Zhang

Supplement

https://doi.org/10.5194/gmd-19-2919-2026-supplement

Data sets

Datasets associated with "RTSEvo v1.0: A Retrogressive Thaw Slump Evolution Model" Jiwei Xu and Zhuotong Nan https://doi.org/10.6084/m9.figshare.30325243

Annual inventories of retrogressive thaw slumps across the Qinghai-Tibet Plateau from 2016 to 2022 Z. Xia et al. https://doi.org/10.5281/zenodo.10928346

Model code and software

nanzt/RTSEvo: v1.0 Jiwei Xu and Zhuotong Nan https://doi.org/10.5281/zenodo.17850641

Short summary

Permafrost is warming, causing more ground collapses known as retrogressive thaw slumps that damage ecosystems and infrastructure. We created a new computer model to predict how these slumps grow and spread over time. By combining satellite data, statistics, and rules that mimic natural erosion, the model can reproduce changes with high accuracy. This helps scientists and planners better forecast future permafrost hazards.