HEAT WAVES

Data aggiornamento scheda
Autori

Piero Fraschetti, Francesca Lena, Walter Perconti, Emanuela Piervitali, Giulio Settanta

Abstract

The indicator describes the trend of intense heat events in Italy. A heat wave is defined as an event lasting at least 6 consecutive days during which the maximum temperature exceeds the 90th percentile of the daily maximum temperature distribution for the same period of the year over the 30-year climatological reference period. The indicator counts the number of days characterized by such heat waves in a given year. In 2024, an increase of approximately 29.3 heat wave days was observed compared to the average value calculated over the reference 30-year period (1991–2020).

Descrizione

The occurrence of extreme temperature events and any significant trends are analyzed through the examination of absolute minimum and maximum air temperature values. Specifically, the "heat wave" indicator, as defined by the CCL/CLIVAR Working Group on Climate Change Detection for the analysis of temperature extremes, identifies an event lasting at least six consecutive days during which the maximum temperature exceeds the 90th percentile of the daily maximum temperature distribution for the same period of the year over the 1991–2020 climatological 30-year reference period.

To represent the number of days characterized by a heat wave in a year, the Warm Spell Duration Index (WSDI) is used. The percentile values for the WSDI are calculated over a 5-day moving window centered on each calendar day. Unlike indices based on fixed threshold values, the WSDI counts exceedances relative to a percentile-based threshold, making it representative of local climate variability. The WSDI detects periods of relatively high temperatures ("warm spells") that can occur in any season.

Scopo

The annual series of the average number of heat waves, expressed as a deviation from a climatological baseline, allows for estimating the frequency of intense heat events and assessing any significant trends over the years.

Rilevanza
È di portata nazionale oppure applicabile a temi ambientali a livello regionale ma di significato nazionale
È in grado di descrivere la tendenza senza necessariamente fornire una valutazione della stessa.
È semplice, facile da interpretare.
Fornisce un quadro rappresentativo delle condizioni ambientali, delle pressioni sull'ambiente e delle risposte della società.
Fornisce una base per confronti internazionali.
Solidità
È basato su standard nazionali/internazionali e sul consenso nazionale/internazionale circa la sua validità
È ben fondato sul piano tecnico e scientifico.
Presenta affidabilità e attendibilità dei metodi di misurazione e raccolta dei dati
Comparabilità nel tempo
Comparabilità nello spazio
Misurabilità (dati)
Adeguatamente documentati e di fonte nota
Aggiornati a intervalli regolari e con procedure affidabili
Facilmente disponibili o resi disponibili a fronte di un ragionevole rapporto costi/benefici
Un’ “adeguata” copertura spaziale
Un’ “idonea” copertura temporale
Principali riferimenti normativi e obiettivi

The indicator has no direct references to regulatory elements.

DPSIR
Stato
Impatto
Tipologia indicatore
Descrittivo (A)
Riferimenti bibliografici

https://scia.isprambiente.it;

APAT-OMS, 2007, Cambiamenti climatici ed eventi estremi: rischi per la salute in Italia - Rapporti 77/2007

ISPRA, 2022, I normali climatici 1991-2020 di temperatura e precipitazione in Italia - Stato dell'Ambiente 99/2022

ISPRA, 2018, Variazioni della temperatura in Italia: estensione della base dati e aggiornamento della metodologia di calcolo - Stato dell’ambiente 81/2018;

ISPRA, 2016, Controlli di qualità delle serie di temperatura e precipitazione - Stato dell'Ambiente 66/2016

ISPRA, 2015, Valori climatici normali di temperatura e precipitazione in Italia - Stato dell'Ambiente 55/2015

ISPRA, 2014, Focus su "Le città e la sfida ai cambiamenti climatici" - Stato dell'Ambiente 54/2014

ISPRA, 2013, Variazioni e tendenze degli estremi di temperatura e precipitazione in Italia - Stato dell'Ambiente 37/2013

ISPRA, 2012, Elaborazione delle serie temporali per la stima delle tendenze climatiche - Stato dell'Ambiente 32/2012

Peterson T.C ., Folland C , Gruza G, Hogg W, Mokssit A e Plummer N., 2001, Report on the activities of the Working Group on Climate Change Detection and Related Rapporteurs 1998-2001. World Meteorological Organization, Rep. WC DMP-47, WMO -TD 1071, Geneva, Switzerland, 143 pp.;

SNPA, 2025, Il clima in Italia nel 2024 - Report ambientali SNPA n. 44/2025

Kuglitsch F.G., Toreti A., Xoplak i E., Dlla-Marta, P.M., Zerefos C . S., Turk e s M., Luterbache r J., 2010, Heat wave changes in the eastern Mediterranean since 1960. Geophysical Res arch Letters, 37, L04802, DO I: 10.1029/2009GL041841

Ulteriori azioni

Improvements in the estimation of heatwave events in Italy could be achieved by extending the indicator calculation system to additional primary data sources, thereby increasing the availability of temperature time series that fulfill the criteria of duration, continuity, and completeness

Fonte dei dati

ISPRA

Frequenza di rilevazione dei dati
Annuale
Accessibilità dei dati di base

SCIA – Sistema nazionale per l’elaborazione e diffusione di dati climatici (https://scia.isprambiente.it)

Copertura spaziale

Italy

Copertura temporale

1961-2024

Descrizione della metodologia di elaborazione

To identify a heatwave event, daily maximum temperature data are required. The software used by the SCIA system (National System for the Processing and Dissemination of Climate Data) processes raw data and produces a daily maximum temperature value, which is accepted as valid only if it passes specific quality controls. Using the validated daily maximum temperature data, the heatwave indicator, known as the Warm Spell Duration Index (WSDI), is calculated; this index represents the number of days characterized by a heatwave in a given year. This value is considered valid only if at least 75% of daily temperature data for that year are available and validated. The climatological baseline for anomaly calculations has been updated to the most recent 30-year period, 1991-2020. This choice follows the recent recommendations of the World Meteorological Organization to update climatological baselines every ten years for operational climatology purposes.

Periodicità di aggiornamento
Annuale
Data quality

The indicator adequately describes the trend of intense heat events in Italy. Its calculation is performed using a standardized methodology, following the general criteria established by the World Meteorological Organization. The methodology is consistent over time and space. Both the input data and the indicator itself undergo validity checks conducted by the data-owning entities (CRA-CMA – Research Unit for Climatology and Meteorology Applied to Agriculture, Synoptic Network – AM and ENAV, regional networks) and by ISPRA’s SCIA system (National System for the Processing and Dissemination of Climate Data). The use of anomaly averages across the entire national territory adequately meets the information needs related to this indicator. The measurement stations whose data are used to calculate the anomaly and estimate the ongoing trend meet the requirements for length, continuity, completeness, and homogeneity of the time series.

Stato
Scarso
Trend
Negativo
Valutazione/descrizione dello stato

In 2024, an increase of approximately 29.3 heatwave days (WSDI) was observed compared to the average value calculated over the 1991-2020 reference period.

Valutazione/descrizione del trend

The annual time series of the average number of heatwave days (WSDI – Warm Spell Duration Index), expressed as deviations from the 1991-2020 reference period average, shows an increase in heatwaves over the past twenty years (Figure 1). Since the main international climate strategies and policy programs aim to counteract ongoing warming of the climate system, the observed unfavorable trend and the assignment of the related indicator icon can be interpreted as moving away from this objective.

Commenti

With an increase of approximately 29.3 days compared to the average value calculated over the reference 1991–2020 climatological period, 2024 ranks fourth highest in the entire historical series (Figure 1).

Data
Allegati
Thumbnail
Titolo

Figure 1: Time series of annual average anomalies of the number of heatwave days (WSDI) in Italy compared to the 1991-2020 baseline.

Fonte

ISPRA