DOI: 10.1175/JCLI-D-13-00320.1
Scopus记录号: 2-s2.0-84904490451
论文题名: How well are the distribution and extreme values of daily precipitation over North America represented in the community climate system model? A comparison to reanalysis, satellite, and gridded station data
作者: Gervais M. ; Gyakum J.R. ; Atallah E. ; Tremblay L.B. ; Neale R.B.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2014
卷: 27, 期: 14 起始页码: 5219
结束页码: 5239
语种: 英语
Scopus关键词: Errors
; Precipitation (chemical)
; Precipitation (meteorology)
; Community climate system model
; Convective precipitation
; Extreme precipitation
; Model comparison
; Model errors
; Model evaluation/performance
; National center for atmospheric researches
; Sub-grid scale process
; Climate models
; climate modeling
; comparative study
; error analysis
; extreme event
; global climate
; model validation
; performance assessment
; precipitation assessment
; satellite data
; Atlantic Coast [North America]
; Atlantic Coast [United States]
; Canada
; Great Plains
; Pacific Coast [North America]
; Pacific Coast [United States]
; Rocky Mountains
; United States
英文摘要: An intercomparison of the distribution and extreme values of daily precipitation between the National Center for Atmospheric Research Community Climate System Model, version 4 (CCSM4) and several observational/reanalysis data sources are conducted over the contiguous United States and southern Canada. The use of several data sources, from gridded station, satellite, and reanalysis products, provides a measure of errors in the reference datasets. An examination of specific locations shows that the global climate model (GCM) distributions closely match the observations along the East and West Coasts, with larger discrepancies in the Great Plains and Rockies. In general, the distribution of model precipitation is more positively skewed (more light and less heavy precipitation) in the Great Plains and the eastern United States compared to gridded station observations, a recurring error in GCMs. In the Rocky Mountains the GCMs generally overproduce precipitation relative to the observations and furthermore have a more negatively skewed distribution, with fewer lower daily precipitation values relative to higher values. Extreme precipitation tends to be underestimated in regions and time periods typically characterized by large amounts of convective precipitation. This is shown to be the result of errors in the parameterization of convective precipitation that have been seen in previous model versions. However, comparison against several data sources reveals that model errors in extreme precipitation are approaching the magnitude of the disparity between the reference products. This highlights the existence of large errors in some of the products employed as observations for validation purposes. © 2014 American Meteorological Society. 资助项目: NSERC, Natural Sciences and Engineering Research Council of Canada
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51360
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Atmospheric and Oceanic Science, McGill University, Montreal, QC, Canada; National Center for Atmospheric Research, Boulder, CO, United States
Recommended Citation:
Gervais M.,Gyakum J.R.,Atallah E.,et al. How well are the distribution and extreme values of daily precipitation over North America represented in the community climate system model? A comparison to reanalysis, satellite, and gridded station data[J]. Journal of Climate,2014-01-01,27(14)