globalchange  > 全球变化的国际研究计划
DOI: 10.1002/joc.5876
Scopus记录号: 2-s2.0-85055262159
论文题名:
Temperature and precipitation variability in regional climate models and driving global climate models: Total variance and its temporal-scale components
作者: Crhová L.; Holtanová E.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2019
卷: 39, 期:3
起始页码: 1276
结束页码: 1286
语种: 英语
英文关键词: CMIP5 ; EURO-CORDEX ; fast Fourier transformation ; global climate model ; Kolmogorov–Zurbenko filter ; long-term variability ; regional climate model ; seasonal-scale variability ; short-term variability ; temperature and precipitation variability
Scopus关键词: Atmospheric temperature ; Precipitation (meteorology) ; Time series ; Time series analysis ; CMIP5 ; EURO-CORDEX ; Fast Fourier transformations ; Global climate model ; Kolmogorov ; Long-term variability ; Precipitation variability ; Regional climate modeling ; Seasonal scale ; Short term ; Climate models
英文摘要: This paper presents an evaluation of the variability and its temporal-scale components of daily air temperature and precipitation simulated by two regional climate models (RCMs) and two driving global climate models (GCMs) from the EURO-CORDEX and CMIP5 projects. The analysis was performed for eight geographical areas of central Europe for the period 1971–2000. After a brief evaluation of total variance, we focus on the ability of the simulations to represent short-term, seasonal and long-term variability components. This analysis was carried out for original time series as well as for series with the annual cycle removed. A fast Fourier transformation and a Kolmogorov–Zurbenko filter were used to separate the three temporal components. The two methods of time series decomposition generally agree, which confirms the robustness of the results. Although the observed total variability of daily air temperature and precipitation is not well represented in many cases and considerable differences among simulations exist, the separation of total variance into the three components is well represented. Regarding the air temperature, the results for the time series with the annual cycle removed are generally somewhat worse than for original series. The simulations tend to underestimate the short-term component of temperature variability, while the results for the other two components are inconclusive. Moreover, it was found that temperature variability caused by the annual cycle is overestimated by the simulation of HadGEM2 GCM and CCLM4-8-17 RCM driven by HadGEM2, which explains the relatively poor results of these simulations regarding air temperature total variance and short-term as well as seasonal components in the original temperature series. The RCMs provide better results than GCMs for temperature total variance but our results are rather inconclusive in the case of precipitation total variance and distribution of the variance of both studied variables into the three temporal components. © 2018 Royal Meteorological Society
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116553
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作者单位: Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University in Prague, Praha, Czech Republic; Czech Hydrometeorological Institute, Praha, Czech Republic

Recommended Citation:
Crhová L.,Holtanová E.. Temperature and precipitation variability in regional climate models and driving global climate models: Total variance and its temporal-scale components[J]. International Journal of Climatology,2019-01-01,39(3)
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