Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.5217 |
1961-1990 high-resolution monthly precipitation climatologies for Italy | |
Crespi, A.1; Brunetti, M.2; Lentini, G.1,3; Maugeri, M.1,2 | |
2018-02-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
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ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2018 |
卷号 | 38期号:2页码:878-895 |
文章类型 | Article |
语种 | 英语 |
国家 | 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 5.1mm (July) to 11mm (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. |
英文关键词 | high-resolution climatology precipitation Italy interpolation methods |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000423816900026 |
WOS关键词 | SPATIAL INTERPOLATION ; MOUNTAINOUS TERRAIN ; TIME-SERIES ; TEMPERATURE ; CLIMATE ; RAINFALL ; ALPS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/36716 |
专题 | 气候变化 |
作者单位 | 1.Univ Milan, Dept Environm Sci & Policy, Milan, Italy; 2.CNR, Ist Sci Atmosfera & Clima, Bologna, Italy; 3.Politecn Milan, Poliedra, Milan, Italy |
推荐引用方式 GB/T 7714 | Crespi, A.,Brunetti, M.,Lentini, G.,et al. 1961-1990 high-resolution monthly precipitation climatologies for Italy[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2018,38(2):878-895. |
APA | Crespi, A.,Brunetti, M.,Lentini, G.,&Maugeri, M..(2018).1961-1990 high-resolution monthly precipitation climatologies for Italy.INTERNATIONAL JOURNAL OF CLIMATOLOGY,38(2),878-895. |
MLA | Crespi, A.,et al."1961-1990 high-resolution monthly precipitation climatologies for Italy".INTERNATIONAL JOURNAL OF CLIMATOLOGY 38.2(2018):878-895. |
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