DOI: 10.1175/JCLI-D-14-00340.1
Scopus记录号: 2-s2.0-84923067609
论文题名: Extreme rainfall of the South American monsoon system: A dataset comparison using complex networks
作者: Boers N. ; Bookhagen B. ; Marengo J. ; Marwan N. ; Storch J.-S.V. ; Kurths J.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2015
卷: 28, 期: 3 起始页码: 1031
结束页码: 1056
语种: 英语
Scopus关键词: Atmospheric thermodynamics
; Climate models
; Complex networks
; Gages
; Principal component analysis
; Rain gages
; Satellites
; Storms
; Global circulation model
; High spatial resolution
; Mesoscale Convective System
; Rainfall distribution
; Regional climate modeling
; Southeastern South America
; Spatial characteristics
; Traditional approaches
; Rain
; climate modeling
; convective system
; data set
; extreme event
; monsoon
; rainfall
; raingauge
; regional climate
; TRMM
; weather forecasting
; Amazon Basin
; Andes
; South America
英文摘要: In this study, the authors compare six different rainfall datasets for South America with a focus on their representation of extreme rainfall during the monsoon season (December-February): the gauge-calibrated TRMM 3B42 V7 satellite product; the near-real-time TRMM 3B42 V7 RT, the GPCP 1° daily (1DD) V1.2 satellite-gauge combination product, the Interim ECMWF Re-Analysis (ERA-Interim) product; output of a high-spatial-resolution run of the ECHAM6 global circulation model; and output of the regional climate model Eta. For the latter three, this study can be understood as a model evaluation. In addition to statistical values of local rainfall distributions, the authors focus on the spatial characteristics of extreme rainfall covariability. Since traditional approaches based on principal component analysis are not applicable in the context of extreme events, they apply and further develop methods based on complex network theory. This way, the authors uncover substantial differences in extreme rainfall patterns between the different datasets: (i) The three model-derived datasets yield very different results than the satellite-gauge combinations regarding the main climatological propagation pathways of extreme events as well as the main convergence zones of the monsoon system. (ii) Large discrepancies are found for the development of mesoscale convective systems in southeastern South America. (iii) Both TRMM datasets and ECHAM6 indicate a linkage of extreme rainfall events between the central Amazon basin and the eastern slopes of the central Andes, but this pattern is not reproduced by the remaining datasets. The authors' study suggests that none of the three model-derived datasets adequately captures extreme rainfall patterns in South America. © 2015 American Meteorological Society. 资助项目: DFG, Deutsche Forschungsgemeinschaft
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50771
Appears in Collections: 气候变化事实与影响
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作者单位: Potsdam Institute for Climate Impact Research, Potsdam, Germany; Department of Physics, Humboldt University Berlin, Berlin, Germany; Institute of Earth and Environmental Science, University of Potsdam, Potsdam, Germany; Centro de Ciěncia do Sistema Terrestre, Instituto Nacional de Pesquisa Espacial, Cachoeira Paulista, Saõ Paulo, Brazil; MaxPlanck Institute for Meteorology, Hamburg, Germany; Department of Control Theory, Nizhny Novgorod State University, Nizhny Novgorod, Russian Federation
Recommended Citation:
Boers N.,Bookhagen B.,Marengo J.,et al. Extreme rainfall of the South American monsoon system: A dataset comparison using complex networks[J]. Journal of Climate,2015-01-01,28(3)