کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6343007 1620502 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Statistical characterisation of winter precipitation in the Abruzzo region (Italy) in relation to the North Atlantic Oscillation (NAO)
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات علم هواشناسی
پیش نمایش صفحه اول مقاله
Statistical characterisation of winter precipitation in the Abruzzo region (Italy) in relation to the North Atlantic Oscillation (NAO)
چکیده انگلیسی


- The winter NAO index is negatively correlated with mean winter precipitation totals.
- The NAO influence grows with the distance from the Adriatic sea.
- L-moments ratio-diagrams indicate that NAO changes the probability distribution of precipitation.
- The NAO mainly affects the left tails of the probability distribution of precipitation.

This paper analyses the relationship between the North Atlantic Oscillation (NAO) and winter precipitation at 75 stations in the Abruzzo region (Central Italy) during the period 1951-2009. The analysis was carried out for individual months (December, January, February, March) as well as for 3-month accumulation periods, December to February (DJF) and January to March (JFM). A composite analysis, based on the positive and negative values of the North Atlantic Oscillation Index (NAOI) was used to compare the characteristics of precipitation associated with NAOI positive (NAO+) and negative (NAO−) conditions. Firstly, the NAO+ and NAO− precipitation subsets were compared by using the Brown-Forsythe and Mann-Whitney tests to assess the presence of significant differences in the variance and mean, respectively. Then the L-moment ratio diagrams were used to identify, for each period and NAO phase, the best-fitting two-parameter distribution. The NAO+ and NAO− conditions were also compared on the basis of the first (D1) and ninth (D9) precipitation deciles. The results show that the NAO mainly affects the mean precipitation amounts that are in most cases lower (higher) during the NAO+ (NAO−) phase, particularly for JFM. This influence is characterised by a relevant spatial variability that can be attributed to local factors (orography and distance from the sea). No significant differences were found in the precipitation variance, but this means that NAO+ precipitation, due to lower mean values, is relatively more variable than NAO- precipitation.The L-moment ratio diagrams reveal that the Weibull distribution always provides the best overall fitting for NAO− conditions (with the exception of DJF for which the log-normal is the best). For NAO+ conditions the best-fitting distributions become the generalized Pareto (January and February), the Weibull (DJF) and the Gamma (JFM), while no change in the distribution type is observed in December and March. In most cases, both D1 and D9 are lower during NAO+ phases. However, the differences related to D1 are more evident than those observed for D9, thus denoting a not-symmetrical influence of the NAO on the tails of the precipitation distributions. For D1, the differences are particularly relevant for January, February and DJF and for the inland areas, for which more frequent and severe drought events are expected during NAO+ phases.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Atmospheric Research - Volumes 178–179, 1 September 2016, Pages 279-290
نویسندگان
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