DOI: 10.1002/joc.5217
论文题名: 1961–1990 high-resolution monthly precipitation climatologies for Italy
作者: Crespi A. ; Brunetti M. ; Lentini G. ; Maugeri M.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期: 2 起始页码: 878
结束页码: 895
语种: 英语
英文关键词: high-resolution climatology
; interpolation methods
; Italy
; precipitation
Scopus关键词: Extrapolation
; Interpolation
; Inverse problems
; Precipitation (chemical)
; Precipitation (meteorology)
; Uncertainty analysis
; High resolution
; Interpolation method
; Inverse distance weighting
; Italy
; Mean absolute error
; Model uncertainties
; Precipitation climatology
; Precipitation distribution
; Climatology
; climatology
; interpolation
; kriging
; numerical model
; precipitation (climatology)
; regression analysis
; Italy
英文摘要: High-resolution monthly precipitation climatologies for Italy are presented. They are based on 1961–1990 precipitation normals obtained from a quality-controlled dataset of 6134 stations covering the Italian territory and part of the Northern neighbouring regions. The climatologies are computed by means of two interpolation methods modelling the precipitation-elevation relationship at a local level, more precisely a local weighted linear regression (LWLR) and a local regression kriging (RK) are performed. For both methods, local optimisations are also applied in order to improve model performance. Model results are compared with those provided by two other widely used interpolation methods which do not consider elevation in modelling precipitation distribution: ordinary kriging and inverse distance weighting. Even though all the four models produce quite reasonable results, LWLR and RK show the best agreement with the observed station normals and leave-one-out-estimated mean absolute errors ranging from 5.1 mm (July) to 11 mm (November) for both models. Their better performances are even clearer when specific clusters of stations (e.g. high-elevation sites) are considered. Even though LWLR and RK provide very similar results both at station and at grid point level, they show some peculiar features. In particular, LWLR is found to have a better extrapolation ability at high-elevation sites when data density is high enough, while RK is more robust in performing extrapolation over areas with complex orography and scarce data coverage, where LWLR may provide unrealistic precipitation values. However, by means of prediction intervals, LWLR provides a more straightforward approach to quantify the model uncertainty at any point of the study domain, which helps to identify the areas mainly affected by model instability. LWLR and RK high-resolution climatologies exhibit a very heterogeneous and seasonal-dependent precipitation distribution throughout the domain and allow to identify the main climatic zones of Italy. © 2017 The Authors. International Journal of Climatology published by John Wiley & Sons Ltd on behalf of the Royal Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/117105
Appears in Collections: 气候减缓与适应
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作者单位: Department of Environmental Science and Policy, Università degli Studi di Milano, Italy; Istituto di Scienze dell'Atmosfera e del Clima, CNR, Bologna, Italy; Poliedra – Politecnico di Milano, Italy
Recommended Citation:
Crespi A.,Brunetti M.,Lentini G.,et al. 1961–1990 high-resolution monthly precipitation climatologies for Italy[J]. International Journal of Climatology,2018-01-01,38(2)