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| DOI | 10.1007/s11600-024-01313-7 |
| Ranking of CMIP 6 climate models in simulating precipitation over India | |
| 发表日期 | 2024 |
| ISSN | 1895-6572 |
| EISSN | 1895-7455 |
| 英文摘要 | Understanding how precipitation fluctuates geographically and temporally over a specific place due to climate change is critical. Generally, simulations of general circulation models (GCM) under different scenarios are downscaled to the local scale to study the impact of climate change on precipitation. However, selecting suitable GCMs for the given study area is one of the most hectic tasks, as the performance of GCMs may vary with respect to space and timescale. Therefore, the current study ranks twenty-seven CMIP 6 (Coupled Modelled Intercomparison Project Phase 6) GCMs in simulating precipitation over India for nine times series, including daily, monthly, yearly, and six extreme series extracted with annual maximum and peak over threshold methods. The gridded daily rainfall data provided by the India Meteorological Department (IMD) are used as the observed data. The GCMs' outputs are corrected for the systematic bias using the linear scaling method. The performance of a GCM is assessed with three statistical performance metrics, namely NSE, RMSE, and R2. The GCMs' ranks are determined using a multi-criterion decision-making technique named the modified technique of order preference by similarity to an ideal solution (mTOPSIS) for every grid point and nine timescales (i.e., daily, monthly, yearly, and six extreme series). From the results, for the entire India, the top ten recommended CMIP 6 GCMs are FGOALS-g3, HadGEM3-GC31-MM, EC-Earth3, BCC-CSM2-MR, CNRM-CM6-1-HR, CanESM5, AWI-ESM-1-1-LR, MPI-ESM-1-2-HR, IITM-ESM, and INM-CM5-0. The identified best-performing models provide insightful information for better regional climate projections and underscore the necessity of considering multiple model outputs for reliable climate change impact assessments and adaptation strategies in the region. |
| 英文关键词 | CMIP 6; GCM; India; Modified TOPSIS; Precipitation; Ranking |
| 语种 | 英语 |
| WOS研究方向 | Geochemistry & Geophysics |
| WOS类目 | Geochemistry & Geophysics |
| WOS记录号 | WOS:001177464900002 |
| 来源期刊 | ACTA GEOPHYSICA
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/286660 |
| 作者单位 | National Institute of Technology (NIT System); National Institute of Technology Calicut |
| 推荐引用方式 GB/T 7714 | . Ranking of CMIP 6 climate models in simulating precipitation over India[J],2024. |
| APA | (2024).Ranking of CMIP 6 climate models in simulating precipitation over India.ACTA GEOPHYSICA. |
| MLA | "Ranking of CMIP 6 climate models in simulating precipitation over India".ACTA GEOPHYSICA (2024). |
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