DOI: 10.1002/joc.5525
论文题名: Application of several spatial interpolation techniques to monthly rainfall data in the Calabria region (southern Italy)
作者: Pellicone G. ; Caloiero T. ; Modica G. ; Guagliardi I.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期: 9 起始页码: 3651
结束页码: 3666
语种: 英语
英文关键词: Calabria
; empirical Bayesian kriging
; inverse distance weighting
; kriging with external drift
; monthly rainfall
; spatial interpolation
Scopus关键词: Barium compounds
; Interpolation
; Inverse problems
; Soil conservation
; Spatial distribution
; Water conservation
; Water management
; Calabria
; Empirical Bayesian
; Inverse distance weighting
; Kriging with external drifts
; Monthly rainfalls
; Spatial interpolation
; Rain
; algorithm
; Bayesian analysis
; geostatistics
; hydrological modeling
; interpolation
; inverse analysis
; precipitation (climatology)
; rainfall
; spatial distribution
; Calabria
; Italy
英文摘要: The spatial distribution of rainfall is paramount for water-related research such as hydrological modelling and watershed management. The use of different interpolation methods in the same area may cause large differences and deviations from the real spatial distribution of rainfall; these differences depend on the type of chosen model, its mode of geographical management and the resolution used. In this study, different algorithms of spatial interpolation of rainfall in a region of southern Italy (Calabria) were applied and the results of geostatistical and deterministic approaches were compared in order to choose the best method for reproducing the actual precipitation field surface. In particular, inverse distance weighting (IDW), ordinary kriging (OK), kriging with external drift (KED), ordinary cokriging (COK) and empirical Bayesian kriging (EBK) were applied to produce the monthly rainfall maps of Calabria. The maps were obtained from a rainfall data set of 129 monthly rainfall series (about one station per 117 km2) collected in the period 1951–2006. Cross-validation and visual analysis of the precipitation maps were performed to examine the results of these different models. Results clearly indicate that geostatistical methods outperform inverse distance. Moreover, among these methods, the kriging with an external drift showed the smallest error of prediction. © 2018 Royal Meteorological Society Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116840
Appears in Collections: 气候减缓与适应
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作者单位: National Research Council of Italy, Institute for Agriculture and Forest Systems in the Mediterranean (CNR-ISAFOM), Rende, Italy; Dipartimento di Agraria, Università degli Studi Mediterranea di Reggio Calabria, Località Feo di Vito, Reggio Calabria, Italy
Recommended Citation:
Pellicone G.,Caloiero T.,Modica G.,et al. Application of several spatial interpolation techniques to monthly rainfall data in the Calabria region (southern Italy)[J]. International Journal of Climatology,2018-01-01,38(9)