Evaluation of soil temperature in CMIP6 multimodel simulations
文献类型：期刊论文
| 作者 | Zhou, Junzhi1,2; Zhang, b Jiang2; Huang, Yuanyuan2 |
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2024-06-01 |
| 卷号 | 352页码:110039 |
| 关键词 | CMIP6 Soil temperature Bias Climate zones |
| DOI | 10.1016/j.agrformet.2024.110039 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Soil temperature plays a crucial role in understanding land-atmosphere interactions. The Sixth Phase of Coupled Model Intercomparison Project (CMIP6) provides valuable information on soil temperature, however, the performance of these models in capturing soil temperature variations remains unclear. To comprehensively assess the performance of CMIP6 in simulating soil temperature, we employed a set of in-situ observation data, observation-derived gridded data (TS-GCB) and reanalysis data (ERA5L) to build various evaluating metrics for the surface (0-5 cm) and subsurface (5-15 cm) soils. At the global scale, the multimodel ensemble mean (MME) of CMIP6 generally captured the spatial, annual and seasonal variations of soil temperature, but overestimated measured soil temperature by 1.86 degrees C (vs. TS-GCB, surface) and 2.16 degrees C (vs. TS-GCB, subsurface), indicating more heat accumulated in soils than the reality. Surface soil temperature was better represented by MME compared to the subsurface soil layer (vs. TS-GCB). In addition, we found the largest simulation bias in the tropical zone, and both positive and negative bias in the arid regions. The large model spread of the individual models in representing soil temperatures in cold regions or periods highlights the needs of improved understanding of how snow and freeze-thaw affect soil thermal dynamics. Overall, the performance of MME is superior to that of the majority of individual models (vs. TS-GCB). Locally, the large discrepancy among observationderived data, reanalysis data and CMIP6 simulations suggested that it is imperative to acquire more groundtruth soil temperature to better inform model simulation and forecasting. |
| WOS关键词 | SURFACE-TEMPERATURE ; THERMAL DYNAMICS ; SNOW COVER ; FEEDBACK ; MODELS ; DEPTH ; HEAT ; CSM |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| WOS记录号 | WOS:001241382900001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/205325]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 通讯作者 | Huang, Yuanyuan |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Junzhi,Zhang, b Jiang,Huang, Yuanyuan. Evaluation of soil temperature in CMIP6 multimodel simulations[J]. AGRICULTURAL AND FOREST METEOROLOGY,2024,352:110039. |
| APA | Zhou, Junzhi,Zhang, b Jiang,&Huang, Yuanyuan.(2024).Evaluation of soil temperature in CMIP6 multimodel simulations.AGRICULTURAL AND FOREST METEOROLOGY,352,110039. |
| MLA | Zhou, Junzhi,et al."Evaluation of soil temperature in CMIP6 multimodel simulations".AGRICULTURAL AND FOREST METEOROLOGY 352(2024):110039. |
入库方式： OAI收割
来源：地理科学与资源研究所
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