Model code for simulations in "Potential vegetation changes in the permafrost area over the Tibetan Plateau under future climate warming" ...

• Main Authors: Chen, Rui, Nitzbon, Jan, Langer, Moritz, Schneider von Deimling, Thomas, Stuenzi, Simone Maria
• Format: Article in Journal/Newspaper
• Language: English
• Published: Zenodo 2024
• Subjects: Permafrost; CryoGridLite; NDVI; Machine learning; Arctic; permafrost
• Online Access: https://dx.doi.org/10.5281/zenodo.10928146; https://zenodo.org/doi/10.5281/zenodo.10928146

This archive contains two parts: CryoGridLite model for simulating the thermal regime of permafrost on the Tibetan Plateau from 1979 to 2100. CryoGridLite is a lightweight and fast-calculated version that inherits from the CryoGrid3 Model (Westermann et al., 2016) and the CryoGrid Community Model (Westermann et al., 2023). Two scientific articles have been published using CryoGridLite to simulate the permafrost thermal dynamics in the pan-Arctic areas. Nitzbon et al. (2023). First quantification of the permafrost heart sink in the Earth's climate system. Langer et al. (2024). The evolution of Arctic permafrost over the last 3 centuries from ensemble simulations with the CryoGridLite permafrost model. Compared to Nitzbon et al. (2023) and Langer et al. (2024), this version implemented the surface energy balance module to provide the upper boundary condition of the model and applied a 'bucket' scheme to compute the dynamics of soil water content. Parameters and model setup can be specified in the main.m and ...