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

Liu, Xiangyang; Li, Zhao-Liang

Abstract

The GloSVeT dataset provides global 0.05° (~5 km) monthly mean surface soil and vegetation component temperatures for the period 2003–2023. The component temperatures were retrieved using the FuSVeT algorithm based on MODIS land surface temperature (LST) products and ERA5-Land auxiliary data (Liu et al., 2025, Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2024.114564). The dataset contains 504 monthly GeoTIFF files (UInt16, scale factor = 0.02, missing data = 65535, unit = K), organized into 84 compressed packages by year, half-year period (01–06 and 07–12), and component (soil/vegetation). Validation against flux observation networks indicates a root-mean-square error of about 2.0 K, demonstrating good consistency and physical reliability. The dataset covers global land areas excluding Antarctica and can be used for studies of land–atmosphere interactions, surface energy balance partitioning, and ecosystem thermodynamics.

Full text

GloSVeT: a global 0.05° monthly mean surface soil and vegetation component temperature dataset Item Description Title GloSVeT Version v1.0 Time span 2003–2023 Temporal resolution Monthly Spatial resolution 0.05° × 0.05° Projection WGS84 Geographical scope Global land areas (excluding Antarctica) Variables Soil component temperature (TS); Vegetation component temperature (TV) File naming rule YYYYMM_ct_x.tif ;YYYY = year,MM = month,x = s (soil) or v (vegetation) File organization Data are grouped by year (2003–2023), half-year (01– 06, 07–12), and component (soil / vegetation), resulting in 84 ZIP files Example of ZIP filename GloSVeT_SoilTemp_2010_01-06_v1.0.zip; GloSVeT_VegTemp_2010_07-12_v1.0.zip Files per ZIP 6 monthly GeoTIFFs (e.g., 201001–201006 for 01–06) Data format GeoTIFF (*.tif) inside ZIP archives Data type UInt16 Scale factor 0.02 Unit Kelvin (K) Fill value 65535 Data volume ~5 GB Authors Xiangyang Liu; Zhao-Liang Li Corresponding author Xiangyang Liu ([email protected]) Affiliation Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences (CAAS) Figure 1. The soil and vegetation temperatures in July, 2020