Trend of annual maximum rainfall in Campania region (Southern Italy)

Avino, Angelo; Manfreda, Salvatore; Cimorelli, Luigi; Pianese, Domenico

doi:10.1002/hyp.14447

Cited by 13 publications

(12 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A substantial improvement in the predictive performance of the indirect sea wave estimations obtained in the present study case can be reached by combining them with the most advanced methods for the quantitative assessment of stochastic uncertainty propagation [65][66][67][68][69][70][71][72], as reported by previous environmental and ecohydraulic engineering studies [73][74][75][76][77][78][79][80]. Finally, as illustrated in Figure 6, in this study, a good correlation was observed between average buoy-based and average satellite-based wave heights (m) over the southern coasts of the Caspian Sea, associated with a slight overestimation in all the examined months.…”

Section: Comparative Analysissupporting

confidence: 60%

Section: Comparative Analysissupporting

confidence: 59%

See 1 more Smart Citation

On the Indirect Estimation of Wind Wave Heights over the Southern Coasts of Caspian Sea: A Comparative Analysis

Lama

Sadeghifar

Azad

et al. 2022

Water

View full text Add to dashboard Cite

The prediction of ocean waves is a highly challenging task in coastal and water engineering in general due to their very high randomness. In the present case study, an analysis of wind, sea flow features, and wave height in the southern coasts of the Caspian Sea, especially in the off-coast sea waters of Mazandaran Province in Northern Iran, was performed. Satellite altimetry-based significant wave heights associated with the period of observation in 2016 were validated based on those measured at a buoy station in the same year. The comparative analysis between them showed that satellite-based wave heights are highly correlated to buoy data, as testified by a high coefficient of correlation r (0.87), low Bias (0.063 m), and root-mean-squared error (0.071 m). It was possible to assess that the dominant wave direction in the study area was northwest. Considering the main factors affecting wind-induced waves, the atmospheric framework in the examined sea region with high pressure was identified as the main factor to be taken into account in the formation of waves. The outcomes of the present research provide an interesting methodological tool for obtaining and processing accurate wave height estimations in such an intricate flow playground as the southern coasts of the Caspian Sea.

show abstract

Section: Comparative Analysissupporting

confidence: 60%

Section: Comparative Analysissupporting

confidence: 59%

On the Indirect Estimation of Wind Wave Heights over the Southern Coasts of Caspian Sea: A Comparative Analysis

Lama

Sadeghifar

Azad

et al. 2022

Water

View full text Add to dashboard Cite

show abstract

“…Few previous studies have been dedicated to the characterization and to the analysis of the precipitation regime of this area (Avino et al, 2021; Califano et al, 2015; Longobardi & Boulariah, 2022; Longobardi & Villani, 2010). According to the results of those works, in the period from 1918 to 2015, the annual precipitation in Campania region shows a general negative trend, although statistically relevant only for a very limited number of stations.…”

Section: Methodsmentioning

confidence: 99%

“…The main novelties of this work can be synthesized in the two following key‐points: For the first time, the complete set of ETCCDI indices and the SPI have been applied to a dataset of daily rainfall measurers collected in the Campania region. Although several previous studies have been devoted to this area (Avino et al, 2021; Califano et al, 2015; Longobardi & Boulariah, 2022; Longobardi & Villani, 2010), none of them has employed a wide and complete spectrum of precipitation indices to fully characterize the complex variability of extreme rainfall events in terms of frequency, intensity and duration. The reference period of our work includes the last two decades (2002–2021), which were the hottest on the global scale in the instrumental period (Skea et al, 2022). According to a very recent study (Rodell & Li, 2023), an increase of global total intensity of extreme events (including both floods and droughts), mirroring the Earth's rising temperature, occurred between 2002 and 2021.…”

Section: Introductionmentioning

confidence: 99%

Signals of change in the Campania region rainfall regime: An analysis of extreme precipitation indices (2002–2021)

Capozzi,

Rocco,

Annella

et al. 2023

Meteorological Applications

View full text Add to dashboard Cite

It is widely known that precipitation is a key variable of the hydrological cycle that is strongly affected by recent climate changes. Therefore, there is a growing interest in research activities focused on alteration of rainfall regime, as it conditions the planning of countermeasures against flood and landslide hazards. The available literature about precipitation tendencies over Italian peninsula offers a limited number of studies about recent changes of extreme events and precipitation intensity. This work aims at adding a contribution to fill this research gap, investigating the changes in rainfall regime observed over the 2002–2021 period in the Campania region (southern Italy). To pursue this aim, a dataset including daily precipitation records collected at 107 stations was analysed both through 11 indices developed by the Expert Team on Climate Change Detection and Indices and through the Standardized Precipitation Index in order to detect signals of changes in extreme events and to assess tendencies towards drier or wetter conditions. The Theil‐Sen method and the Mann–Kendall non‐parametric test were employed to evaluate the trends and their statistical significance. The main results emerging from this work are (i) an increasing tendency in precipitation intensity and in the frequency of occurrence of heavy rainfall events in autumn, mainly in the northern part of the region and in the mountainous areas, (ii) an upward trend of the duration of the longest wet spell in the coastal areas and (iii) an increasing trend of dry spells in spring and in summer in the Gulf of Salerno.

show abstract

“…The spatial interpolation of the best estimates was taken as a possible alternative to the proposed hybrid regional procedure for estimating the mean annual maximum rainfall at sub-hourly durations at sites where only an hourly time resolution database existed. Among other alternatives, spatial interpolation of rainfall maxima with ordinary kriging [30,31] was chosen as it is a valid technique and widely employed in the literature (i.e., [32,33]); Other geostatistical methods such as co-kriging and universal kriging were tested as well, however, their use was discarded after no significant correlations were found between sub-hourly mean annual rainfall maxima and other auxiliary external topographic variables such as elevation [34]. The performance of the kriging estimator was assessed by means of the cross-validation method [21,31,32].…”

Section: Performance Estimationmentioning

confidence: 99%

Regional Assessment of Sub-Hourly Annual Rainfall Maxima

Pelosi

Chirico

Furcolo

et al. 2022

Water

View full text Add to dashboard Cite

The assessment of rainfall extremes at sub-hourly scales is generally hindered by a lack of rainfall data at small timescale resolutions. This study proposes a methodology for assessing mean annual maximum rainfall at the sub-hourly scale by blending historical time series of annual maxima recorded by mechanical stations (operating at hourly scales) up to the end of the past century with newer time series of annual maxima at higher time resolutions recorded by automatic stations installed over the past twenty years. A linear correlation was found at the regional scale between the shape parameter controlling the dependency of rainfall maxima with a duration longer than one hour and the shape parameter of the dependency of rainfall maxima with the durations shorter than one hour. Thanks to this correlation, data recorded at the mechanical stations could be exploited to assess sub-hourly mean annual maxima. The proposed hybrid procedure was verified and was found to provide estimates with an accuracy close to those obtained with the high-resolution data, i.e., our best estimates. Moreover, the proposed procedure outperforms what could be achieved by spatially interpolating the best estimates at those locations where only hourly data are available.

show abstract

Trend of annual maximum rainfall in Campania region (Southern Italy)

Cited by 13 publications

References 31 publications

On the Indirect Estimation of Wind Wave Heights over the Southern Coasts of Caspian Sea: A Comparative Analysis

On the Indirect Estimation of Wind Wave Heights over the Southern Coasts of Caspian Sea: A Comparative Analysis

Signals of change in the Campania region rainfall regime: An analysis of extreme precipitation indices (2002–2021)

Regional Assessment of Sub-Hourly Annual Rainfall Maxima

Contact Info

Product

Resources

About