DOI: 10.1175/JCLI-D-11-00335.1
Scopus记录号: 2-s2.0-84858599522
论文题名: Precipitation characteristics of the South American monsoon system derived from multiple datasets
作者: Carvalho L.M.V. ; Jones C. ; Posadas A.N.D. ; Quiroz R. ; Bookhagen B. ; Liebmann B.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2012
卷: 25, 期: 13 起始页码: 4600
结束页码: 4620
语种: 英语
Scopus关键词: Atmospheric circulation
; Austral summers
; Climate forecasts
; Climate prediction centers
; Climate variability
; Climate variability and change
; Climatic features
; Data sets
; Earth systems
; Extreme precipitation
; Frequency distributions
; Global precipitation climatology projects
; Mean precipitation
; Monsoon system
; Physical science
; Precipitation characteristics
; Reanalysis
; Research and application
; Retrospective analysis
; Sams
; Seasonal variability
; Seasonality
; South America
; Spatial patterns
; Statistical properties
; Tropical rainfall measuring missions
; Atmospheric thermodynamics
; Earth (planet)
; NASA
; Precipitation (chemical)
; Rain
; Research laboratories
; Spectrum analysis
; Climatology
; atmospheric circulation
; climate variation
; monsoon
; precipitation (climatology)
; regional climate
; seasonal variation
; statistical analysis
; South America
英文摘要: The South American monsoon system (SAMS) is the most important climatic feature in South America and is characterized by pronounced seasonality in precipitation during the austral summer. This study compares several statistical properties of daily gridded precipitation from different data (1998-2008): 1) Physical Sciences Division (PSD), Earth System Research Laboratory [1.08 and 2.58 latitude (lat)/longitude (lon)]; 2) Global Precipitation Climatology Project (GPCP; 18 lat/lon); 3) Climate Prediction Center (CPC) unified gauge (CPC-uni) (0.58 lat/lon); 4) NCEP Climate Forecast System Reanalysis (CFSR) (0.58 lat/lon); 5) NASA Modern-Era Retrospective Analysis for Research and Applications (MERRA) reanalysis (0.58 lat/0.38 lon); and 6) Tropical Rainfall Measuring Mission (TRMM) 3B42 V6 data (0.258 lat/lon). The same statistical analyses are applied to data in 1) a common 2.58 lat/lon grid and 2) in the original resolutions of the datasets. All datasets consistently represent the large-scale patterns of the SAMS. The onset, demise, and duration of SAMS are consistent among PSD, GPCP, CPC-uni, and TRMMdatasets, whereas CFSR and MERRA seem to have problems in capturing the correct timing of SAMS. Spectral analyses show that intraseasonal variance is somewhat similar in the six datasets. Moreover, differences in spatial patterns of mean precipitation are small among PSD, GPCP, CPC-uni, and TRMM data, while some discrepancies are found in CFSR and MERRA relative to the other datasets. Fitting of gamma frequency distributions to daily precipitation shows differences in the parameters that characterize the shape, scale, and tails of the frequency distributions. This suggests that significant uncertainties exist in the characterization of extreme precipitation, an issue that is highly important in the context of climate variability and change in South America. © 2012 American. Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/52328
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geography, Earth Research Institute, University of California, Santa Barbara, Santa Barbara, CA, United States; Earth Research Institute, University of California, Santa Barbara, Santa Barbara, CA, United States; International Potato Center (CIP), Lima, Peru; CIRES Climate Diagnostics Center, Boulder, CO, United States
Recommended Citation:
Carvalho L.M.V.,Jones C.,Posadas A.N.D.,et al. Precipitation characteristics of the South American monsoon system derived from multiple datasets[J]. Journal of Climate,2012-01-01,25(13)