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DOI | 10.1007/s00382-017-3889-1 |
Internal variability of a dynamically downscaled climate over North America | |
Wang, Jiali1; Bessac, Julie2; Kotamarthi, Rao1; Constantinescu, Emil2; Drewniak, Beth1 | |
2018-06-01 | |
发表期刊 | CLIMATE DYNAMICS |
ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2018 |
卷号 | 50页码:4539-4559 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | This study investigates the internal variability (IV) of a regional climate model, and considers the impacts of horizontal resolution and spectral nudging on the IV. A 16-member simulation ensemble was conducted using the Weather Research Forecasting model for three model configurations. Ensemble members included simulations at spatial resolutions of 50 and 12 km without spectral nudging and simulations at a spatial resolution of 12 km with spectral nudging. All the simulations were generated over the same domain, which covered much of North America. The degree of IV was measured as the spread between the individual members of the ensemble during the integration period. The IV of the 12 km simulation with spectral nudging was also compared with a future climate change simulation projected by the same model configuration. The variables investigated focus on precipitation and near-surface air temperature. While the IVs show a clear annual cycle with larger values in summer and smaller values in winter, the seasonal IV is smaller for a 50-km spatial resolution than for a 12-km resolution when nudging is not applied. Applying a nudging technique to the 12-km simulation reduces the IV by a factor of two, and produces smaller IV than the simulation at 50 km without nudging. Applying a nudging technique also changes the geographic distributions of IV in all examined variables. The IV is much smaller than the inter-annual variability at seasonal scales for regionally averaged temperature and precipitation. The IV is also smaller than the projected changes in air-temperature for the mid- and late twenty-first century. However, the IV is larger than the projected changes in precipitation for the mid- and late twenty-first century. |
英文关键词 | Internal variability Regional climate model Spectral nudging High spatial resolution Climate change |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000432597400033 |
WOS关键词 | MODEL ; SIMULATION ; PRECIPITATION ; SENSITIVITY ; RESOLUTION ; ENSEMBLE ; SCALE |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/35317 |
专题 | 气候变化 |
作者单位 | 1.Argonne Natl Lab, Environm Sci Div, Bldg 240,Rm 6109,9700 South Cass Ave, Argonne, IL 60439 USA; 2.Argonne Natl Lab, Math & Comp Sci Div, Argonne, IL USA |
推荐引用方式 GB/T 7714 | Wang, Jiali,Bessac, Julie,Kotamarthi, Rao,et al. Internal variability of a dynamically downscaled climate over North America[J]. CLIMATE DYNAMICS,2018,50:4539-4559. |
APA | Wang, Jiali,Bessac, Julie,Kotamarthi, Rao,Constantinescu, Emil,&Drewniak, Beth.(2018).Internal variability of a dynamically downscaled climate over North America.CLIMATE DYNAMICS,50,4539-4559. |
MLA | Wang, Jiali,et al."Internal variability of a dynamically downscaled climate over North America".CLIMATE DYNAMICS 50(2018):4539-4559. |
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