VERY HOT DAYS

    Panel 1
    Data aggiornamento scheda
    Autori

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

    Abstract
    Grafici interattivi
    Abstract

    The indicator describes the trend in extreme heat events in Italy, specifically representing the number of days with a daily maximum air temperature exceeding 35 °C. In 2024, an increase of approximately 11.4 extremely hot days was observed compared to the climatological average for the 1991–2020 reference period.

    Descrizione

    The occurrence of extreme thermal events and the presence of significant trends are assessed through the analysis of absolute minimum and maximum air temperature values. Specifically, the indicator “very hot days”, as defined by the Expert Team on Sector-Specific Climate Indices (ET-SCI), represents the number of days when the daily maximum air temperature exceeds 35 °C.

    Scopo

    The annual time series of the average number of hot days, expressed as the deviation from a climatological baseline, allows for the estimation of the frequency of extreme heat events and the evaluation of significant trends over time.

    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 is not directly linked to any regulatory or legislative framework.

    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

    Toreti A. e Desiato F., 2007, Changes in temperature extremes over Italy in the last 44 years, Int. J. Climatology, DO I 10.1002/joc.1576.

    Ulteriori azioni

    Improvements in the estimation of hot days in Italy could result from the extension of the indicator calculation system to include additional sources of raw temperature data, with the aim of increasing the availability of long-term temperature time series that meet requirements 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 determine whether a specific calendar day qualifies as a “very hot day”, the daily maximum air temperature is compared with the threshold of 35°C. Therefore, validated daily maximum temperature data must be available. The SCIA system (National System for the Processing and Dissemination of Climate Data) processes raw meteorological data and produces a daily maximum temperature value, which is accepted as valid only if it passes specific quality control procedures. If the daily maximum temperature is validated, it is compared with the 35°C threshold to determine whether the day can be classified as a very hot day. The annual indicator value is calculated by summing the number of very hot days recorded in a given year. This value is considered valid only if at least 75% of the daily data are available and validated for the year in question. The climatological baseline used for anomaly calculation has been updated to the most recent 30-year reference period, 1991–2020. This choice follows the latest guidance from the World Meteorological Organization (WMO), which recommends updating climatological baselines every ten years for operational climatology purposes.

    Periodicità di aggiornamento
    Annuale
    Data quality

    The indicator adequately describes the trend of extreme heat events in Italy. The calculation of the indicator is conducted using a standardized methodology and follows the general criteria set by the World Meteorological Organization (WMO). The methodology is consistent over time and space. Both the input data and the indicator itself undergo validity checks carried out by the entities responsible for the raw data (CRA-CMA (Research Unit for Climatology and Meteorology Applied to Agriculture), Synoptic Network (AM and ENAV), Regional Networks) and by the SCIA system (National System for the Processing and Dissemination of Climate Data) of ISPRA. The use of average anomaly values across the entire national territory allows for an adequate response to the information needs related to this indicator.
    The measurement stations from which the anomaly is calculated and the ongoing trend is estimated meet the requirements of duration, continuity, completeness, and homogeneity of the time series.

    Stato
    Scarso
    Trend
    Negativo
    Valutazione/descrizione dello stato

    In 2024, an increase of approximately 11.4 hot days was observed compared to the average value calculated for the reference thirty-year period (1991-2020).

    Valutazione/descrizione del trend

    Over the last 10 years, the number of hot days has consistently been higher than the reference thirty-year period (1991-2020), except for 2016, and 2018. Given that the main international climate change strategies and policies aim to combat the ongoing warming of the climate system, the evaluation of an unfavorable trend and the assignment of the corresponding icon can be interpreted in terms of deviation from this goal.

    Commenti

    The time series of annual average anomalies for the number of hot days in Italy indicates that 2024, with an increase of approximately 11.4 days compared to the average value calculated for the reference thirty-year period (1991-2020), ranks firts among the highest in the entire time series (Figure 1).

    Allegati
    Thumbnail
    Titolo

    Figure 1: Time series of the annual mean anomalies of the number of hot days in Italy compared to the reference value 1991-2020.

    Fonte

    ISPRA

    Grafici interattivi
    English