Evaluation of atmospheric circulations for dynamic downscaling in CMIP6 models over East Asia
文献类型：期刊论文
| 作者 | Song, Shuaifeng2; Zhang, Xuezhen1,3; Gao, Zhibo2; Yan, Xiaodong2 |
| 刊名 | CLIMATE DYNAMICS
 |
| 出版日期 | 2022-08-17 |
| 页码 | 22 |
| ISSN号 | 0930-7575 |
| 关键词 | CMIP6 models Model evaluation East Asia Dynamic downscaling |
| DOI | 10.1007/s00382-022-06465-0 |
| 通讯作者 | Yan, Xiaodong(yxd@bnu.edu.cn) |
| 英文摘要 | A comprehensive model assessment on a 6-hourly scale from multiple dimensions is critical for model selection of dynamic downscaling to reduce uncertainties. In this study, we evaluated the performance of 13 models involved in the Coupled Model Intercomparison Project-6 (CMIP6) by comparing the simulated meteorological variables at the pressure levels of 850, 500, and 250 hPa, including 6-hourly air temperature, specific humidity, zonal wind, meridional wind, and geopotential height, to those from the ERA5 reanalysis data for the 1979-2014 period. The results indicated that the CMIP6 models could mostly reproduce the spatial pattern of the climatology. Most models underestimated air temperature and geopotential height while overestimating specific humidity and zonal and meridional wind speeds in the upper troposphere. Additionally, the interannual variability of zonal and meridional wind exhibited a relatively better performance but limited ability for specific humidity at 850 hPa. Regarding the annual and diurnal cycles, CMIP6 models reasonably captured the annual cycle shape, while an overestimation was detected in simulating the diurnal amplitude, notably at 250 hPa. Based on a comprehensive rating index and overall rankings, our findings showed that no single model was identified as suitable for the simulation of any variables and regions. The models performed well for five variables, including MPI-ESM1-2-LR, MPI-ESM1-2-HR, TaiESM1, and UKESM1-0-LL, over East Asia. Then, according to the overall performance of the five variables and model accessibility, the optimal model varied by region and shared socioeconomic pathway (SSP) scenario. The multi-model ensemble mean outperformed individual models over almost all regions when it comes to comprehensive performance. The MPI-ESM1-2-LR and MRI-ESM2-0 models were the best two out of 13 models as lateral boundary conditions applied to seven climate scenarios over East Asia. This study provides valuable scientific references for selecting the optimal CMIP6 models for the projection of dynamic downscaling over East Asia and eight subregions. |
| WOS关键词 | SURFACE WIND-SPEED ; REGIONAL CLIMATE ; WINTER MONSOON ; DIURNAL CYCLE ; HADLEY-CELL ; JET-STREAM ; LAND-USE ; CHINA ; PRECIPITATION ; TEMPERATURE |
| 资助项目 | National Natural Science Foundation of China[41790424] ; National Key Research and Development Program of China[2019YFA0606600] ; National Key Research and Development Program of China[2019YFA0606904] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | SPRINGER |
| WOS记录号 | WOS:000842597000001 |
| 资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/166530]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yan, Xiaodong |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, Shuaifeng,Zhang, Xuezhen,Gao, Zhibo,et al. Evaluation of atmospheric circulations for dynamic downscaling in CMIP6 models over East Asia[J]. CLIMATE DYNAMICS,2022:22. |
| APA | Song, Shuaifeng,Zhang, Xuezhen,Gao, Zhibo,&Yan, Xiaodong.(2022).Evaluation of atmospheric circulations for dynamic downscaling in CMIP6 models over East Asia.CLIMATE DYNAMICS,22. |
| MLA | Song, Shuaifeng,et al."Evaluation of atmospheric circulations for dynamic downscaling in CMIP6 models over East Asia".CLIMATE DYNAMICS (2022):22. |
入库方式： OAI收割
来源：地理科学与资源研究所
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