DOI: 10.1002/joc.5261
论文题名: A simple method to assess the added value using high-resolution climate distributions: Application to the EURO-CORDEX daily precipitation
作者: Soares P.M.M. ; Cardoso R.M.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期: 3 起始页码: 1484
结束页码: 1498
语种: 英语
英文关键词: Added value
; Climate change
; EURO-CORDEX
; Extreme precipitation
; Meteorological variables
; Precipitation
; Probability density functions
; Regional climate modelling
Scopus关键词: Climate change
; Precipitation (chemical)
; Precipitation (meteorology)
; Probability density function
; Added values
; EURO-CORDEX
; Extreme precipitation
; Meteorological variables
; Regional climate modelling
; Climate models
; climate change
; climate modeling
; computer simulation
; extreme event
; precipitation assessment
; probability density function
; regional climate
; spatial resolution
英文摘要: Regional climate models (RCMs) are used with increasing resolutions seeking to represent in an improved way regional to local-scale atmospheric phenomena. The EURO-CORDEX simulations at 0.11∘ and simulations exploiting finer grid spacing approaching the convective-permitting regimes are representative examples. These climate runs are computationally very demanding and do not always show improvements, which depend on the region, variable and object of study. The gains or losses associated with the use of higher resolution in relation to the forcing model (global climate model or reanalysis), or to different resolution RCM simulations, are widely known as added value. Its characterization is a long-standing issue, and many different added-value measures have been proposed. In the current study, a new method is proposed to assess the added value of finer-resolution simulations, in comparison to its forcing data or coarser-resolution counterparts. This approach builds on a probability density function (PDF) matching score, giving a normalized measure of the difference between diverse resolution PDFs, mediated by the observational ones. The distribution added value (DAV) is an objective added-value measure that can be applied to any variable, region or temporal scale, from hindcast or historical (non-synchronous) simulations. The DAVs metric and its application to the EURO-CORDEX hindcast daily precipitation data are presented here. Generally, the EURO-CORDEX simulations at both resolutions (0.44∘ and 0.11∘) display a clear added value in relation to ERA-Interim, with maximum values around 30% in summer and 20% in the intermediate seasons. When both RCM resolutions are directly compared, only three of five models (0.11∘) show added value, with a maximum of ∼10%. The regions with the larger DAVs are areas where convection is relevant, e.g. Alps and Iberia. When looking at the extreme PDF tail, the higher-resolution improvement is generally greater than the low resolution for seasons and regions. © 2017 Royal Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/117151
Appears in Collections: 气候减缓与适应
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作者单位: Faculdade de Ciências, Instituto Dom Luiz, Universidade de Lisboa, Portugal
Recommended Citation:
Soares P.M.M.,Cardoso R.M.. A simple method to assess the added value using high-resolution climate distributions: Application to the EURO-CORDEX daily precipitation[J]. International Journal of Climatology,2018-01-01,38(3)