Multi-model ensemble mean shows accelerating global below-ground warming
Abstract
The below-ground component of the Earth’s critical zone is crucial to human activities and underpins numerous chemical, physical and biological processes. However, previous studies primarily concentrated on below-ground temperatures (BGT) until depths up to 3 m and periods shorter than 70 years; few studies have globally analyzed the historical spatiotemporal variability of BGT beyond those ranges. The objective of this study was to investigate BGT anomalies (ΔBGT) between depths of 0–42 m during 1850–2100 using model outputs from CMIP6. The results show a three-stage accelerating warming pattern (1850–2014): weak pre-1943 warming (0.02 °C decade⁻¹, depth-average), mid-century stagnation, and post-1984 acceleration (0.33 °C decade⁻¹, depth-average) for depth mean of 0.05∼1.75 m. Future mean warming rises ∼1.7 times from SSP1‑2.6 (2.08 °C) to SSP5‑8.5 (3.45 °C), with maximum of warming mean expanding 2.6 times. Asymmetric BGT extremes drive elevated subsurface heat risk under high emissions. A robust seasonal hierarchy reversal occurs (DJF‑ to JJA‑dominated), with winter BGT most sensitive to radiative forcing. ΔBGT amplifies strongly from 60°N, and enhances in high‑altitude/coastal regions under high emissions. Heterogeneous bottom boundary condition placement (BBCP) is an important structured uncertainty source in multi-model BGT analysis, introducing non-physical sampling artifacts in ensemble-mean vertical profiles. Despite inter‑model heterogeneity, the multi‑model ensemble yields physically consistent depth‑attenuated warming, providing an ensemble-constrained reference for subsurface thermal change investigation. By 2100, low-moderate emission scenarios (e.g., SSP1‑2.6, SSP2‑4.5) will slow BGT warming. This study can provide insightful understanding of the overlooked BGT and inform future model intercomparison projects and ensemble mean analysis.
Fields of Study & Subjects
Meteorological Phenomena and Simulations
Seismology and Earthquake Studies
Earthquake Detection and Analysis
Publication details
- Journal / source
- Agricultural and Forest Meteorology
- Publisher
- Elsevier BV
- Volume
- 389
- Pages
- 111382–111382
- Publication date
- 31 July 2026
- Language
- EN