DOI: 10.1007/s00382-014-2383-2
Scopus记录号: 2-s2.0-84940655263
论文题名: Evaluation of daily precipitation statistics and monsoon onset/retreat over western Sahel in multiple data sets
作者: Diaconescu E.P. ; Gachon P. ; Scinocca J. ; Laprise R.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2015
卷: 45, 期: 2017-05-06 起始页码: 1325
结束页码: 1354
语种: 英语
英文关键词: CORDEX experiment
; Daily-precipitation indices
; RCM evaluation
; West African monsoon
英文摘要: The West Africa rainfall regime constitutes a considerable challenge for Regional Climate Models (RCMs) due to the complexity of dynamical and physical processes that characterise the West African Monsoon. In this paper, daily precipitation statistics are evaluated from the contributions to the AFRICA-CORDEX experiment from two ERA-Interim driven Canadian RCMs: CanRCM4, developed at the Canadian Centre for Climate Modelling and Analysis (CCCma) and CRCM5, developed at the University of Québec at Montréal. These modelled precipitation statistics are evaluated against three gridded observed datasets—the Global Precipitation Climatology Project (GPCP), the Tropical Rainfall Measuring Mission (TRMM), and the Africa Rainfall Climatology (ARC2)—and four reanalysis products (ECMWF ERA-Interim, NCEP/DOE Reanalysis II, NASA MERRA and NOAA-CIRES Twentieth Century Reanalysis). The two RCMs share the same dynamics from the Environment Canada GEM forecast model, but have two different physics’ packages: CanRCM4 obtains its physics from CCCma’s global atmospheric model (CanAM4), while CRCM5 shares a number of its physics modules with the limited-area version of GEM forecast model. The evaluation is focused on various daily precipitation statistics (maximum number of consecutive wet days, number of moderate and very heavy precipitation events, precipitation frequency distribution) and on the monsoon onset and retreat over the Sahel region. We find that the CRCM5 has a good representation of daily precipitation statistics over the southern Sahel, with spatial distributions close to GPCP dataset. Some differences are observed in the northern part of the Sahel, where the model is characterised by a dry bias. CanRCM4 and the ERA-Interim and MERRA reanalysis products overestimate the number of wet days over Sahel with a shift in the frequency distribution toward smaller daily precipitation amounts than in observations. Both RCMs and reanalyses have difficulties in reproducing the local onset date over the Sahel region. Nevertheless, the large-scale features of the monsoon precipitation evolution over West Africa are well reproduced by the RCMs, whereas the northern limit of the rainy bands is less accurately reproduced. Both RCMs exhibit an overall good representation of the local retreat index over the Sahel region. © 2014, The Author(s). 资助项目: DOE, U.S. Department of Energy
; NSERC, U.S. Department of Energy
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54023
Appears in Collections: 过去全球变化的重建
There are no files associated with this item.
作者单位: Canadian Centre for Climate Modelling and Analysis (CCCma), Environment Canada, Place Bonaventure, Portail Nord-Est, 800 rue de la Gauchetière Ouest, Bureau 7810, Montréal, QC, Canada; Canadian Centre for Climate Modelling and Analysis (CCCma), Environment Canada, Victoria, BC, Canada; Centre pour l’étude et la simulation du climat à l’échelle régionale (ESCER), Université du Québec à Montréal, Montréal, QC, Canada
Recommended Citation:
Diaconescu E.P.,Gachon P.,Scinocca J.,et al. Evaluation of daily precipitation statistics and monsoon onset/retreat over western Sahel in multiple data sets[J]. Climate Dynamics,2015-01-01,45(2017-05-06)