DOI: 10.1007/s00382-014-2327-x
Scopus记录号: 2-s2.0-84929399943
论文题名: Challenges of tracking extratropical cyclones in regional climate models
作者: Côté H. ; Grise K.M. ; Son S.-W. ; de Elía R. ; Frigon A.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2015
卷: 44, 期: 2017-11-12 起始页码: 3101
结束页码: 3109
语种: 英语
英文关键词: Extratropical cyclones
; Regional climate modelling
; Storm tracks
英文摘要: Extratropical cyclones (ETCs) play a crucial role in determining the climate in a large part of the world. For this reason, climate models’ ability to reproduce ETCs’ characteristics (such as track location and development and decay regions) is of great importance. ETC tracking algorithms are sophisticated diagnostic tools that have been used extensively to evaluate models’ ability to simulate ETCs. In general, these algorithms have been developed and applied to coarse resolution global datasets such as global climate models and reanalyses. As regional climate models (RCMs) mature, the potential for tracking ETCs at considerably higher resolutions has naturally become attractive. Application of ETC tracking algorithms to RCM-produced datasets, however, introduces additional challenges. In order to investigate these challenges, we compare ETC tracking results of a simulation produced by the Canadian Regional Climate Model (CRCM) over North America at a 45-km resolution driven by ECMWF ERA-Interim, with the results obtained directly from the driving reanalyses. The ERA-Interim data is treated in three different ways applying spatial smoothing, the tracking algorithm, and the extraction of the regional grid in a different order, so that individual sources of error can be identified. It is shown that the mere existence of boundaries in the regional domain of the CRCM affects tracking results not only near the boundaries but also well within the domain. To a lesser extent, the use of different spatial smoothing techniques also affects the number of tracked ETCs. However, even after accounting for these artifacts, the CRCM produces a lower ETC count than the driving dataset. This underestimation of the tracking statistics might be related to known CRCM biases, or to some problems with the surface representation at 45-km resolution. Nevertheless, it is concluded that RCMs are a suitable choice for ETC trajectory studies, but only when handled carefully and used over large domains targeting the cyclone track of interest. © 2014, Springer-Verlag Berlin Heidelberg. 资助项目: NRF, National Research Foundation of Korea
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54123
Appears in Collections: 过去全球变化的重建
There are no files associated with this item.
作者单位: Consortium Ouranos on Regional Climate and Adaptation to Climate Change, 550 Sherbrooke West, 19th floor, West Tower, Montreal, QC, Canada; Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, United States; School of Earth and Environmental Sciences, Seoul National University, Seoul, South Korea; Centre ESCER, Université du Québec à Montréal, Montreal, QC, Canada
Recommended Citation:
Côté H.,Grise K.M.,Son S.-W.,et al. Challenges of tracking extratropical cyclones in regional climate models[J]. Climate Dynamics,2015-01-01,44(2017-11-12)