Climate variability in north-western Italy during the second half of the 20th century

Ciccarelli, N.; Hardenberg, Jost von; Provenzale, Antonello; Ronchi, Christian; Vargiu, A.; Pelosini, R.

doi:10.1016/j.gloplacha.2008.03.006

Cited by 86 publications

(68 citation statements)

References 38 publications

(78 reference statements)

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“…If one compares our outcomes with the results presented in [10,22], he finds that the role of NAO could be somewhat retrenched, while ENSO cross-correlations may be still considered as quite influential. Furthermore, even if obtained by different methods and the study referred to a more extended region, our outcomes corroborate the results presented in [22] about the importance of SCAN and some blocking indices on the precipitation behavior.…”

Section: Nonlinear Attribution Of Precipitation Changesmentioning

confidence: 76%

“…In the past, investigations about European climate variability concentrated on the role of NAO and ENSO (see [10] for an updated research of this kind), while more recently, a study on the influence of other circulation patterns has been performed, but through linear methods and the study referred to quite a limited region [22]. If one compares our outcomes with the results presented in [10,22], he finds that the role of NAO could be somewhat retrenched, while ENSO cross-correlations may be still considered as quite influential.…”

Section: Nonlinear Attribution Of Precipitation Changesmentioning

confidence: 99%

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Attribution of Precipitation Changes on a Regional Scale by Neural Network Modeling: A Case Study

Pasini

Langone

2010

Water

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On a regional scale, climate variability masks any direct link between external forcings and precipitation values. Thus, the problem of attribution of precipitation changes splits into two distinct steps: understanding how forcings influence circulation patterns and finding relationships between these patterns and the behavior of precipitation. Here, we deal with this second step, by analyzing data about eight circulation indices and their influence on precipitation anomalies in an extended Italian Alpine region. The methods used are bivariate nonlinear analysis and neural network modeling. We identify the most influential circulation patterns in each season and work out neural network models that are able to substantially describe the climate variability of precipitation at this regional scale.

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Section: Nonlinear Attribution Of Precipitation Changesmentioning

confidence: 76%

Section: Nonlinear Attribution Of Precipitation Changesmentioning

confidence: 99%

Attribution of Precipitation Changes on a Regional Scale by Neural Network Modeling: A Case Study

Pasini

Langone

2010

Water

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“…Linear analyses of this kind have been performed, for instance, by Efthymiadis et al (2007) and Ciccarelli et al (2008) Alpine region. Here, however, the stress is on frequency and distribution of extremes and, as discussed in Zeng et al (2011), in these cases the use of non-linear methods is more fruitful.…”

Section: Final Remarks and Prospectsmentioning

confidence: 99%

Changes in daily precipitation extremes in the Mediterranean from 1951 to 2010: the Basilicata region, southern Italy

Piccarreta

Pasini

Capolongo

et al. 2013

Intl Journal of Climatology

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Changes in precipitation extremes for the Basilicata region, southern Italy, have been analyzed using data from 55 precipitation stations with complete daily time series during the period 1951-2010. All the series were submitted to quality control assessment and homogenization. To detect possible trends the time series analysis was performed with the Mann-Kendall non-parametric test. The annual and seasonal total precipitation underwent a general downward trend over the period 1951-2010 mainly due to the autumn-winter decrease of precipitation, although the tendency for the last decade is clearly positive. The precipitation intensity shows a general positive trend, mainly due to the upward trend of spring. The dry spell mean has increased throughout the region over 1951-2010, even if a really important opposite trend characterizes the last decade. The wet spell mean has decreased throughout the region from 1951 to 2010, although a strong inversion of tendency has been recorded in the last 10 years. Trends in the extreme daily precipitation have indicated a general downward tendency, mainly during the summer season. The analysis of multi-day sequences of moderate to heavy rainfall has indicated a corresponding increase in their frequency and intensity, especially in the last decade. The overall results indicate a present hydroclimatic regime characterized by an increase in total rainfall and precipitation intensity and a small decrease in dry spell lengths. The positive change in precipitation magnitude is due to multi-day extreme precipitation rather than to single-day precipitation. This last observation is very important for its huge hydrological impact on the environment. In Basilicata, the increase in intensity/frequency of multi-days extreme events has led to the growth of severe flooding and landsliding events, not only in autumn and winter, but even in the early spring.

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“…lake size has increased as a consequence of glacial retreat. The same authors observed that in Central Alps trends of mean air temperature showed an increase of 0.012 • C year −1 from 1924 to 2007, which was the same rate observed as a century average for the Alpine region (1.2 • C) [23,24]. With regard to precipitation, several studies highlighted differences in Total Precipitation (TP) trends in different zones of the Alps.…”

Section: Introductionmentioning

confidence: 63%

Climate Change Impacts on Sediment Quality of Subalpine Reservoirs: Implications on Management

Marziali

Tartari

Salerno

et al. 2017

Water

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Abstract:Reservoirs are characterized by accumulation of sediments where micropollutants may concentrate, with potential toxic effects on downstream river ecosystems. However, sediment management such as flushing is needed to maintain storage capacity. Climate change is expected to increase sediment loads, but potential effects on their quality are scarcely known. In this context, sediment contamination by trace elements (As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn) and organics (Polycyclic Aromatic Hydrocarbons PAHs, Polychlorinated Biphenyls PCBs and C > 12 hydrocarbons) was analyzed in 20 reservoirs located in Italian Central Alps. A strong As and a moderate Cd, Hg and Pb enrichment was emphasized by I geo , with potential ecotoxicological risk according to Probable Effect Concentration quotients. Sedimentation rate, granulometry, total organic carbon (TOC) and altitude resulted as the main drivers governing pollutant concentrations in sediments. According to climate change models, expected increase of rainfall erosivity will enhance soil erosion and consequently the sediment flow to reservoirs, potentially increasing coarse grain fractions and thus potentially diluting pollutants. Conversely, increased weathering may enhance metal fluxes to reservoirs. Increased vegetation cover will potentially result in higher TOC concentrations, which may contrast contaminant bioavailability and thus toxicity. Our results may provide elements for a proper management of contaminated sediments in a climate change scenario aiming at preserving water quality and ecosystem functioning.

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Climate variability in north-western Italy during the second half of the 20th century

Cited by 86 publications

References 38 publications

Attribution of Precipitation Changes on a Regional Scale by Neural Network Modeling: A Case Study

Attribution of Precipitation Changes on a Regional Scale by Neural Network Modeling: A Case Study

Changes in daily precipitation extremes in the Mediterranean from 1951 to 2010: the Basilicata region, southern Italy

Climate Change Impacts on Sediment Quality of Subalpine Reservoirs: Implications on Management

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