Trends in extreme precipitation for the alert areas of Calabria (southern Italy) using observation-validated satellite data
Abstract
Data di Pubblicazione:
2019
Abstract:
The use of validated gridded data in assessment procedures is of fundamental importance, as it allows to calculate
trends and changes not only at locations equipped with meteorological stations, but to whole regions. Using
validated data can help in developing a more precise risk assessment especially in regions with a complex
orography and sub-regional scale microclimates.
In this study, we have used the CHIRPS dataset, an observation-validated satellite dataset, to assess extreme
precipitation in the eight alert areas of Calabria (southern Italy). CHIRPS is a quasi-global gridded rainfall
dataset, spanning 50S-50N at all longitudes, incorporating 0.05 resolution satellite imagery with in-situ station
data starting in 1981 (Funk et al., 2015).
The Calabria region has been selected for this assessment study, as it is a challenging region with complex
orography, and with a high number of rain stations, used in previous gridded data validation studies. The CHIRPS
dataset was validated for Calabria for the 1981-2010 time period by means of the registrations of 79 rain gauges
of the Multi-Risk Functional Centre of the Regional Agency for Environmental Protection. Metrics used were
the mean error and standard deviation (Caroletti and Coscarelli, 2019). The alert areas were defined according
to the Directive "Sistema di Allertamento regionale per il rischio meteoidrogeologico ed idraulico in Calabria"
(Resolution of Regione Calabria Government n. 535 of November15th, 2017). Four areas are located on the
western side of the region, and four on the eastern side.
We investigated the changes in the number of extreme events and the values of extreme precipitation in
each area in the 1981-2017 time period.We considered extreme all precipitation events that occurred over the 99th
percentile threshold for the study period.
By using 5-years running means of precipitation at each satellite data cell, CHIRPS showed an increase in
the magnitude of extreme events for seven of the eight alert areas. The increase is especially strong in four areas
(the three southernmost eastern alert areas and the Lamezia Terme area in the west).
The number of extreme precipitation events, which also shows a growing trend, in contrast with the decrease
of precipitation days overall, can explain the slight growing trend in yearly precipitation for these same
areas over the 1981-2017 time period.
Tipologia CRIS:
01.05 Abstract in rivista
Keywords:
rainfall; extreme events; satellite
Elenco autori:
Caroletti, GIULIO NILS; Coscarelli, Roberto; Caloiero, Tommaso
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