DOI: 10.1007/s00382-016-3226-0
Scopus记录号: 2-s2.0-84975152270
论文题名: Synchrony between reanalysis-driven RCM simulations and observations: variation with time scale
作者: de Elía R. ; Laprise R. ; Biner S. ; Merleau J.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2017
卷: 48, 期: 2017-07-08 起始页码: 2597
结束页码: 2610
语种: 英语
英文关键词: RCM-observations synchronicity
; Regional climate model
; Spectral nudging
英文摘要: Unlike coupled global climate models (CGCMs) that run in a stand-alone mode, nested regional climate models (RCMs) are driven by either a CGCM or a reanalysis dataset. This feature makes high correlations between the RCM simulation and its driver possible. When the driving dataset is a reanalysis, time correlations between RCM output and observations are also common and to be expected. In certain situations time correlation between driver and driven RCM is of particular interest and techniques have been developed to increase it (e.g. large-scale spectral nudging). For such cases, a question that remains open is whether aggregating in time increases the correlation between RCM output and observations. That is, although the RCM may be unable to reproduce a given daily event, whether it will still be able to satisfactorily simulate an anomaly on a monthly or annual basis. This is a preconception that the authors of this work and others in the community have held, perhaps as a natural extension of the properties of upscaling or aggregating other statistics such as the mean squared error. Here we explore analytically four particular cases that help us partially answer this question. In addition, we use observations datasets and RCM-simulated data to illustrate our findings. Results indicate that time upscaling does not necessarily increase time correlations, and that those interested in achieving high monthly or annual time correlations between RCM output and observations may have to do so by increasing correlation as much as possible at the shortest time scale. This may indicate that even when only concerned with time correlations at large temporal scale, large-scale spectral nudging acting at the time-step level may have to be used. © 2016, The Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53267
Appears in Collections: 过去全球变化的重建
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作者单位: Consortium Ouranos, 550, Sherbrooke Street West, 19th floor, West Tower, Montréal, QC, Canada; Département des Sciences de la Terre et de l’Atmosphère, Centre ESCER, Université du Québec à Montréal (UQAM), Montréal, QC, Canada; Institut de recherche d’Hydro-Québec (IREQ), Varennes, QC, Canada
Recommended Citation:
de Elía R.,Laprise R.,Biner S.,et al. Synchrony between reanalysis-driven RCM simulations and observations: variation with time scale[J]. Climate Dynamics,2017-01-01,48(2017-07-08)