Redirigiendo al acceso original de articulo en 21 segundos...
Inicio  /  Hydrology  /  Vol: 9 Par: 2 (2022)  /  Artículo
ARTÍCULO
TITULO

The Long-Term ERA5 Data Series for Trend Analysis of Rainfall in Italy

Francesco Chiaravalloti    
Tommaso Caloiero and Roberto Coscarelli    

Resumen

Nowadays, the Mediterranean region is generally recognized as a climate change hot spot given its strong response to global warming, with relevant impacts on rainfall amount and distribution. Within this context, in this work the temporal variability of rainfall at annual, seasonal and monthly scale was analyzed in Italy using rainfall data extracted from the reanalysis dataset ERA5-Land during the period 1950?2020. In particular, rainfall trend magnitude and significance have been estimated by means of non-parametric tests applied to 3215 grid points falling within the Italian territory. The main results of this analysis evidenced only a few relevant trends at the annual scale, mostly involving northern Italy (positive trend) and the Sardinia region (negative trend). At seasonal scale, the results showed a marked negative trend in winter, characterizing almost all the Italian territory, while in the other seasons a positive trend was identified in the majority of grid points, especially in the Alps. Finally, at the monthly scale, September was identified as the month of the year with the highest percentage of grid points with positive trends mainly located in central, southern, and north-eastern Italy.

Palabras claves

 Artículos similares

       
 
Jiale Li, Jiayin Guo, Bo Li and Lingxin Meng    
The deep learning method has been widely used in the engineering field. The availability of the training dataset is one of the most important limitations of the deep learning method. Accurate prediction of pavement performance plays a vital role in road ... ver más
Revista: Buildings

 
Svetlana Pushkar    
Over the past five years, Leadership in Energy and Environmental Design Commercial Interior version 4 (LEED-CI v4)-certified office projects have been intensively studied in the USA and China, but they have not yet been studied in the Mediterranean regio... ver más
Revista: Buildings

 
Altayeb A. Obaid, Elhadi M. Adam, K. Adem Ali and Tamiru A. Abiye    
The Vaal Dam catchment, which is the source of potable water for Gauteng province, is characterized by diverse human activities, and the dam encounters significant nutrient input from multiple sources within its catchment. As a result, there has been a r... ver más
Revista: Water

 
Ahmed Skhiri, Ali Ferhi, Anis Bousselmi, Slaheddine Khlifi and Mohamed A. Mattar    
A correct determination of irrigation water requirements necessitates an adequate estimation of reference evapotranspiration (ETo). In this study, monthly ETo is estimated using artificial neural network (ANN) models. Eleven combinations of long-term ave... ver más
Revista: Water

 
Ziyan Li, Shasha Xie and Zhe Wei    
Currently, human society is in the era of the digital economy, driven by a new wave of digital technology revolution. Against this backdrop, China actively draws on global development concepts, accelerating the advancement of new infrastructure construct... ver más
Revista: Buildings