GloSVeT: a global 0.05° monthly mean surface soil and vegetation component temperature dataset (2003–2023)

Liu, Xiangyang; Li, Zhao-Liang; Ru, Chen; Duan, Si-Bo; Leng, Pei

doi:10.5194/essd-18-6885-2026

Articles | Volume 18, issue 9

https://doi.org/10.5194/essd-18-6885-2026

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

https://doi.org/10.5194/essd-18-6885-2026

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

Articles | Volume 18, issue 9

Data description article

|

16 Sep 2026

Data description article |

| 16 Sep 2026

GloSVeT: a global 0.05° monthly mean surface soil and vegetation component temperature dataset (2003–2023)

Xiangyang Liu, Zhao-Liang Li, Chen Ru, Si-Bo Duan, and Pei Leng

Data sets

GloSVeT: a global 0.05° monthly mean surface soil and vegetation component temperature dataset (2003-2023) Xiangyang Liu and Zhao-Liang Li https://doi.org/10.5281/zenodo.17461084

GloSVeT: a global 0.05° monthly mean surface soil and vegetation component temperature dataset (2003-2023) Xiangyang Liu and Zhao-Liang Li https://doi.org/10.11888/RemoteSen.tpdc.303317

Short summary

Quantifying soil and vegetation temperatures separately is essential for understanding land–atmosphere energy exchange, drought dynamics, and agricultural responses to climate change. This study presents a global dataset providing monthly surface soil and vegetation temperatures from 2003 to 2023 at 0.05° resolution. The dataset enables detailed analyses of surface warming patterns and supports improved monitoring of hydrothermal conditions and ecosystem functioning.