DOI: 10.1002/joc.5219
论文题名: Circulation type classifications for temperature and precipitation stratification in Italy
作者: Vallorani R. ; Bartolini G. ; Betti G. ; Crisci A. ; Gozzini B. ; Grifoni D. ; Iannuccilli M. ; Messeri A. ; Messeri G. ; Morabito M. ; Maracchi G.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期: 2 起始页码: 915
结束页码: 931
语种: 英语
英文关键词: atmospheric circulation
; circulation classification
; COST733
; Italy
; temperature and precipitation in Italy
; weather type
Scopus关键词: Climate change
; Principal component analysis
; Sea level
; Simulated annealing
; Atmospheric circulation
; Circulation type classifications
; Classification procedure
; COST733
; Italy
; Surface air temperatures
; Temperature stratification
; Weather types
; Atmospheric temperature
; air temperature
; atmospheric circulation
; climate variation
; geopotential
; precipitation (climatology)
; sea level pressure
; Italy
英文摘要: During the last few decades, weather circulation type classifications (CTCs) have been widely used to gain insight into processes at the synoptic scale, but also for studying the relationship between atmospheric circulation and surface climate variability. This study aims to evaluate the best performing CTCs based on COST733 software for the stratification of daily ground-level precipitation and surface air temperature across Italy by means of four statistical metrics. Six classification methods belonging to the four COST733 groups (threshold-based, PCA-based, leader algorithms and optimization algorithms) were investigated on 32 and 26 data time series derived from Italian weather stations for daily mean temperature and daily mean precipitation, respectively. CTCs were computed using gridded mean sea level pressure and geopotential height at 500 hPa derived from the NCEP Reanalysis 2 dataset between 1979 and 2015 and tested on three different numbers of classes (8/9, 11/12 and 18 circulation types). Evaluation metrics showed an evident seasonal variability and high-spatial heterogeneity reflecting the geographical complexity of the Italian territory. The study points out that the best classification, both for temperature and precipitation, is strongly dependent on the classification variable (mean sea level pressure and geopotential height at 500 hPa) showing relevant differences between surface temperature and precipitation. A low number of circulation types (8/9) resulted as the most appropriate grouping for the Italian domain and the Principal Component Transversal and Simulated Annealing were the best performing classification procedures for ground-level precipitation and temperature stratification, respectively. © 2017 Royal Meteorological Society Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/117090
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: National Research Council, Institute of Biometeorology – IBIMET, Florence, Italy; Tuscany Region, LaMMA Consortium – Weather Forecaster and Researcher at Laboratory of Monitoring and Environmental Modelling for Sustainable Development, Florence, Italy; Department of Agriculture, Accademia dei Georgofili, Florence, Italy; Interdepartmental Centre of Bioclimatology – CIBIC, University of Florence, Italy
Recommended Citation:
Vallorani R.,Bartolini G.,Betti G.,et al. Circulation type classifications for temperature and precipitation stratification in Italy[J]. International Journal of Climatology,2018-01-01,38(2)