TROPICAL NIGHTS

    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 minimum daily air temperature exceeding 20 °C. In 2025, an increase of approximately 25.2 tropical nights was observed compared to the climatological average for the 1991–2020 reference period.

    Descrizione

    The occurrence of extreme temperature events and the presence of significant trends are assessed through the analysis of absolute minimum and maximum daily air temperature values. Specifically, the indicator “tropical nights”, as defined by the CCL/CLIVAR Working Group on Climate Change Detection, refers to the number of days when the daily minimum air temperature remains above 20 °C.

    Scopo

    The annual time series of the average number of tropical nights, expressed as the deviation from a climatological baseline, enables the estimation of the frequency of extreme heat events and the assessment 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 tropical nights in Italy could stem from expanding the indicator calculation system to include additional sources of raw temperature data, in order to enhance the availability of historical temperature series that meet the criteria of duration, continuity, and completeness of time series.

    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 given calendar day qualifies as a tropical night, the daily minimum air temperature is compared with the threshold of 20°C. This requires access to validated daily minimum temperature data. The SCIA system (National System for the Processing and Dissemination of Climate Data) processes raw meteorological data and outputs a daily minimum temperature value, which is accepted as valid only if it passes quality control checks. If the daily minimum temperature is validated, it is compared with the 20°C threshold to establish whether the day is classified as a tropical night. The annual indicator value is calculated as the total number of tropical nights recorded in a given year. This annual value is considered valid only if at least 75% of the daily data for that year are available and validated. The climatological baseline used to calculate anomalies has been updated to the most recent 30-year reference period, 1991–2020. This choice aligns with the latest recommendations from the World Meteorological Organization (WMO), which advises 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 follows a standardized methodology and adheres to the general criteria outlined 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 about 25.2 tropical nights was observed compared to the average value calculated for the reference thirty-year period 1991-2020.

    Valutazione/descrizione del trend

    In the last 10 years, tropical nights have consistently been higher than the reference thirty-year period 1991-2020, with the exception of 2016. Since the main international climate change strategies and political programs aim to counteract the ongoing warming of the climate system, the evaluation of an unfavorable trend and the assignment of the corresponding icon can be considered in terms of deviation from this goal.

    Commenti

    The time series of annual average anomalies for the number of tropical nights in Italy indicates that 2024, with an increase of approximately 25.2 nights compared to the average value calculated for the reference thirty-year period (1991-2020), ranks first among the hottest years in the entire series (Figure 1

    Allegati
    Thumbnail
    Titolo

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

    Fonte

    ISPRA

    Grafici interattivi
    English