DOI: 10.1007/s00382-014-2278-2
Scopus记录号: 2-s2.0-84939896863
论文题名: Analysis of rainfall seasonality from observations and climate models
作者: Pascale S. ; Lucarini V. ; Feng X. ; Porporato A. ; Hasson S.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2015
卷: 44, 期: 2017-11-12 起始页码: 3281
结束页码: 3301
语种: 英语
英文关键词: CMIP5 models
; Hydrological cycle
; Information entropy
; Rainfall seasonality
英文摘要: Two new indicators of rainfall seasonality based on information entropy, the relative entropy (RE) and the dimensionless seasonality index (DSI), together with the mean annual rainfall, are evaluated on a global scale for recently updated precipitation gridded datasets and for historical simulations from coupled atmosphere–ocean general circulation models. The RE provides a measure of the number of wet months and, for precipitation regimes featuring a distinct wet and dry season, it is directly related to the duration of the wet season. The DSI combines the rainfall intensity with its degree of seasonality and it is an indicator of the extent of the global monsoon region. We show that the RE and the DSI are fairly independent of the time resolution of the precipitation data, thereby allowing objective metrics for model intercomparison and ranking. Regions with different precipitation regimes are classified and characterized in terms of RE and DSI. Comparison of different land observational datasets reveals substantial difference in their local representation of seasonality. It is shown that two-dimensional maps of RE provide an easy way to compare rainfall seasonality from various datasets and to determine areas of interest. Models participating to the Coupled Model Intercomparison Project platform, Phase 5, consistently overestimate the RE over tropical Latin America and underestimate it in West Africa, western Mexico and East Asia. It is demonstrated that positive RE biases in a general circulation model are associated with excessively peaked monthly precipitation fractions, too large during the wet months and too small in the months preceding and following the wet season; negative biases are instead due, in most cases, to an excess of rainfall during the premonsoonal months. © 2014, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54100
Appears in Collections: 过去全球变化的重建
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作者单位: Meteorologisches Institute, Center for Earth System Research and Sustainability (CEN), Universität Hamburg, Grindelberg 5, Hamburg, Germany; Department of Mathematics and Statistics, University of Reading, Reading, United Kingdom; Department of Civil and Environmental Engineering, Duke University, Durham, NC, United States
Recommended Citation:
Pascale S.,Lucarini V.,Feng X.,et al. Analysis of rainfall seasonality from observations and climate models[J]. Climate Dynamics,2015-01-01,44(2017-11-12)