Comparative Analysis of Spatial Interpolation Methods in the Mediterranean Area: Application to Temperature in Sicily

Piazza, Ambra Di; Conti, Francesco Lo; Viola, Francesco; Eccel, E.; Noto, Leonardo

doi:10.3390/w7051866

Cited by 50 publications

(24 citation statements)

References 41 publications

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“…Weights were based on the distance between the measured points, the prediction locations, and the overall spatial arrangement among the measured points. Kriging showed the best performance among the univariate methods [76,77].…”

Section: Discussionmentioning

confidence: 99%

Precipitation Trends over Slovakia in the Period 1981–2013

Zeleňáková

Vido

Portela

et al. 2017

Water

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Abstract:The objective of this paper was to analyze the temporal and spatial trends in annual and seasonal precipitation in Slovakia utilizing 487 gauging station data collected statewide in the period from 1981 to 2013. The nonparametric Mann-Kendall (MK) statistical test, which has been widely used to assess the significance of trends in hydrological time series, was applied to detect the significant trends. The Theil-Sen (TS) approach was applied to quantify the trend magnitude, and the Sequential Mann-Kendall (SQMK) test was used to detect abrupt temporal trend shifts. In general, precipitation data in the study area have not changed during the last 33 years, and there are no big gaps. However, predominantly increasing trends in precipitation time series were found at most of the gauging stations in Slovakia. The results corroborate previous climatic studies in the area of central Europe. In Slovakia, there is evidence of different rain distribution from the monthly point of view. Decreasing trends were detected in December in the northern part of Slovakia, while the central and southern parts revealed increasing trends. Most of the stations showed increasing summer precipitation trends, especially in July. It is expected that the findings of this comprehensive study of precipitation trends over Slovakia will produce more insights for the understanding of the regional hydrological behavior in Slovakia over the last several decades.

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Section: Discussionmentioning

confidence: 99%

Precipitation Trends over Slovakia in the Period 1981–2013

Zeleňáková

Vido

Portela

et al. 2017

Water

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“…The raster layer of mean annual value of potential evapotranspiration

\overset{E_{p}}{true}

and of the mean annual rainfall amount

\overset{R}{true}

can be provided from raster layers of monthly temperature and annual rainfall obtained using a spatial interpolation procedure following Di Piazza, Lo Conti, Noto, Viola, and La Loggia () and Di Piazza, Conti, Viola, Eccel, and Noto () and already adopted for similar scopes by Pumo, Viola, La Loggia, and Noto () and Pumo et al (). This method uses firstly a linear regression between each variable (i.e., temperature and precipitation) and elevation derived from a DEM.…”

Section: Methodsmentioning

confidence: 99%

Annual runoff assessment in arid and semiarid Mediterranean watersheds under the Budyko's framework

Viola

Caracciolo

Forestieri

et al. 2017

Hydrological Processes

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The solution of many practical water problems is strictly connected to the availability of reliable and widespread information about runoff. The estimation of mean annual runoff and its interannual variability for any basin over a wide region, even if ungauged, would be fundamental for both water resources assessment and planning and for water quality analysis. Starting from these premises, the main aim of this work is to show a new approach, based on the Budyko's framework, for mapping the mean annual surface runoff and deriving the probability distribution of the annual runoff in arid and semiarid watersheds. As a case study, the entire island of Sicily, Italy, is here proposed. First, time series data of annual rainfall, runoff, and reconstructed series of potential evapotranspiration have been combined within the Budyko's curve framework to obtain regional rules for rainfall partitioning between evapotranspiration and runoff. Then this knowledge has been used to infer long-term annual runoff at the point scale by means of interpolated rainfall and potential evapotranspiration. The long-term annual runoff raster layer has been obtained at each pixel of the drainage network, averaging the upstream runoff using advanced spatial analysis techniques within a GIS environment.Furthermore, 2 alternative methods are here proposed to derive the distribution of annual runoff, under the assumption of negligible interannual variations of basin water storage. The first method uses Monte Carlo simulations, combining rainfall and potential evapotranspiration randomly extracted from independent distributions. The second method is based on a simplification of the Budyko's curve and analytically provides the annual runoff distribution as the derived distribution of annual rainfall and potential evapotranspiration. Results are very encouraging: long-term annual runoff and its distribution have been derived and compared with historical records at several gauged stations, obtaining satisfactory matching.

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“…The MAP is spatially variable and can reach 1500 mm in the northeast, while an average of 400 mm is observed in the southeast (Di Piazza et al, 2011;Viola et al, 2016). The mean annual temperature ranges from 11 to 20 ∘ C (Di Piazza et al, 2015). The lowest temperatures are registered in the mountain ranges while the highest temperatures occur along the coasts.…”

Section: Climatology Of Sicilymentioning

confidence: 99%

Regional frequency analysis of extreme rainfall in Sicily (Italy)

Forestieri

Conti

Blenkinsop

et al. 2018

Intl Journal of Climatology

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Extreme rainfall events have large impacts on society and are likely to increase in intensity under climate change. For design and management decisions, particularly regarding hydraulic works, accurate estimates of precipitation magnitudes are needed at different durations. In this article, an objective approach of the regional frequency analysis (RFA) has been applied to precipitation data for the island of Sicily, Italy. Annual maximum series for rainfall with durations of 1, 3, 6, 12, and 24 h from about 130 rain gauges were used. The RFA has been implemented using principal component analysis (PCA) followed by a clustering analysis, through the k‐means algorithm, to identify statistically homogeneous groups of stations for the derivation of regional growth curves. Three regional probability distributions were identified as appropriate from an initial wider selection of distributions and were compared – the three‐parameter log‐normal distribution (LN3), the generalized extreme value (GEV) distribution, and the two component extreme value (TCEV) distribution. The regional parameters of these distributions were estimated using L‐moments and considering a hierarchical approach. Finally, assessment of the accuracy of the growth curves was achieved by means of the relative bias and relative root‐mean‐square error (RMSE) using a simulation analysis of regional L‐moments. Results highlight that for the lower return periods, all distributions showed the same accuracy while for higher return periods the LN3 distribution provided the best result. The study provides an updated resource for the estimation of extreme precipitation quantiles for Sicily through the derivation of growth curves needed to obtain depth–duration–frequency (DDF) curves.

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Comparative Analysis of Spatial Interpolation Methods in the Mediterranean Area: Application to Temperature in Sicily

Cited by 50 publications

References 41 publications

Precipitation Trends over Slovakia in the Period 1981–2013

Precipitation Trends over Slovakia in the Period 1981–2013

Annual runoff assessment in arid and semiarid Mediterranean watersheds under the Budyko's framework

Regional frequency analysis of extreme rainfall in Sicily (Italy)

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