DOI: 10.1175/JCLI-D-11-00251.1
Scopus记录号: 2-s2.0-84859341957
论文题名: On the use of reanalysis data for downscaling
作者: Brands S. ; Gutiérrez J. M. ; Herrera S. ; Cofiño A.S.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2012
卷: 25, 期: 7 起始页码: 2517
结束页码: 2526
语种: 英语
Scopus关键词: Distributional similarities
; Down-scaling
; Extratropical
; Geopotentials
; Global similarity
; Higher order
; Kolmogorov-Smirnov
; Land areas
; Mixed distribution
; Pearson correlation coefficients
; Probability density function (pdf)
; Reanalysis
; Regional climate
; Specific humidity
; Statistical downscaling
; Time-scales
; Weather forecasts
; Correlation methods
; Weather forecasting
; climate prediction
; downscaling
; probability density function
; sensitivity analysis
; weather forecasting
英文摘要: In this study, a worldwide overview on the expected sensitivity of downscaling studies to reanalysis choice is provided. To this end, the similarity of middle-tropospheric variables-which are important for the development of both dynamical and statistical downscaling schemes-from 40-yr European Centre for Medium- Range Weather Forecasts (ECMWF) Re-Analysis (ERA-40) and NCEP-NCAR reanalysis data on a daily time scale is assessed. For estimating the distributional similarity, two comparable scores are used: the twosample Kolmogorov-Smirnov statistic and the probability density function (PDF) score. In addition, the similarity of the day-to-day sequences is evaluated with the Pearson correlation coefficient. As the most important results demonstrated, the PDF score is found to be inappropriate if the underlying data follow a mixed distribution. By providing global similarity maps for each variable under study, regions where reanalysis data should not assumed to be "perfect" are detected. In contrast to the geopotential and temperature, significant distributional dissimilarities for specific humidity are found in almost every region of the world. Moreover, for the latter these differences not only occur in the mean, but also in higher-order moments. However, when considering standardized anomalies, distributional and serial dissimilarities are negligible overmost extratropical land areas. Since transformed reanalysis data are not appropriate for regional climate models-in opposition to statistical approaches-their results are expected to be more sensitive to reanalysis choice. © 2012 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/52470
Appears in Collections: 气候变化事实与影响
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作者单位: Instituto de Física de Cantabria, University of Cantabria, Santander, Spain; Department of Applied Mathematics and Computer Science, University of Cantabria, Santander, Spain
Recommended Citation:
Brands S.,Gutiérrez J. M.,Herrera S.,et al. On the use of reanalysis data for downscaling[J]. Journal of Climate,2012-01-01,25(7)