TROPICAL NIGHTS

Update date
Authors

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

Abstract

The indicator describes the trend of intense heat events in Italy, specifically expressing the number of days with minimum air temperatures above 20°C. In 2025, an increase of 10.1 tropical nights was observed compared to the average value calculated in the thirty-year reference period (1991-2020).

Description

The existence of extreme temperature events and the presence of any significant trends is analyzed by examining the absolute minimum and maximum air temperatures. Specifically, the "tropical nights" indicator, defined by the "CCL/CLIVAR Working Group on Climate Change Detection" for the analysis of temperature extremes, expresses the number of days with minimum air temperatures above 20°C.

Purpose

The annual series of the mean number of tropical nights, expressed as a difference from a climatological baseline, allows us to estimate the frequency of intense heat events and evaluate any significant trends over the years.

Policy relevance and utility for users
It is of national scope or applicable to environmental issues at the regional level but of national significance.
It is able to describe the trend without necessarily providing an evaluation of it.
It is simple and easy to interpret.
It provides a representative overview of environmental conditions, environmental pressures, and societal responses.
It provides a basis for international comparisons
Analytical soundness
Be based on international standards and international consensus about its validity;
Be theoretically well founded in technical and scientific terms
Presents reliability and validity of measurement and data collection methods
Temporal comparability
Spatial comparability
Measurability (data)
Adequately documented and of known quality
Updated at regular intervals in accordance with reliable procedures
Readily available or made available at a reasonable cost/benefit ratio
An “adequate” spatial coverage
An “appropriate” temporal coverage
Main regulatory references and objectives

The indicator has no direct references to regulatory elements.

DPSIR
State
Impact
Indicator type
Descriptive (A)
References

https://scia.isprambiente.it;

APAT-OMS, 2007, Climate change and extreme events: health risks in Italy, Reports 77/2007

ISPRA, 2022, 1991-2020 climate normals for temperature and precipitation in Italy; State of the Environment 99/2022

ISPRA, 2018, Temperature variations in Italy: extension of the database and update of the calculation methodology; State of the Environment 81/2018;

ISPRA, 2016, Quality controls of temperature and precipitation series; State of the Environment 66/2016

ISPRA, 2015, Normal climatic values ​​of temperature and precipitation in Italy; State of the Environment 55/2015

ISPRA, 2014, Focus on "Cities and the challenge of climate change"; State of the Environment 54/2014

ISPRA, 2013, Variations and trends in temperature and precipitation extremes in Italy; State of the Environment 37/2013

ISPRA, 2012, Processing of time series for estimating climate trends; State of the Environment 32/2012

Peterson T.C ., Folland C , Gruza G, Hogg W, Mokssit A ​​and 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, 2026, The climate in Italy in 2025; SNPA environmental reports n. 48/2026;

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

Further actions

Improvements in the estimation of tropical nights in Italy could result from extending the indicator's calculation system to other elementary data sources, in order to increase the availability of historical temperature series that meet the requirements of duration, continuity, and completeness of the time series.

Data source

ISPRA (Higher Institute for Environmental Protection and Research)

Data availabilty

SCIA – National System for the Processing and Dissemination of Climate Data (https://scia.isprambiente.it)

Spatial coverage

National

Time coverage

1961-2025

Variables

Annual average anomaly in the number of tropical nights

Processing methodology

To determine whether a given day of the year was characterized by the presence of a tropical night, a comparison is made between the minimum temperature of that day and the temperature threshold of 20°C. Therefore, the daily minimum temperature must be available. The program used by the SCIA (National System for the Processing and Dissemination of Climate Data) system processes the elementary data and returns a daily minimum temperature value that is accepted as valid only if it has passed certain checks. If the daily minimum temperature is correct, the difference between it and the 20°C threshold is calculated and it is determined whether the day can be considered a tropical night. The annual value of the indicator is calculated by adding the number of tropical nights present in a given year. This value is accepted as valid only if at least 75% of valid daily data is available in the year in question. The climatological basis for calculating anomalies has been updated to the most recent thirty-year period, 1991-2020. This choice stems from the World Meteorological Organization's recent recommendations to update the climatological base every ten years for operational climatology purposes.

Update frequency
Annuale
Data quality

The indicator adequately describes the trend of intense heat events in Italy. The indicator is calculated using a standardized methodology and following the general criteria indicated by the World Meteorological Organization. The methodology is consistent across time and space. Both the input data and the indicator itself are subject to validity checks carried out by the bodies that own the elementary data (CRA-CMA (Research Unit for Climatology and Meteorology applied to Agriculture), the Synoptic Network (AM and ENAV), and 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 us to adequately satisfy the information needs relating to this indicator. The measuring stations whose data are used to calculate the anomaly and estimate the current trend meet the requirements of duration, continuity, completeness, and homogeneity of the time series.

Status
Poor
Trend
Negative
State assessment/description

In 2025, an increase of 10.1 tropical nights was observed compared to the average value calculated in the reference thirty-year period 1991-2020.

Trend assessment/description

Over the last 11 years, tropical nights have always been higher than the reference period of 1991-2020, with the exception of 2016, and since the main international strategies and political programs regarding climate change aim to counteract the ongoing warming of the climate system, the evaluation of an unfavorable trend and the assignment of the related icon can be considered in terms of a departure from this objective.

Comments

The historical series of annual mean anomalies in the number of tropical nights in Italy indicates that 2025, with an increase of 10.1 nights compared to the average value calculated in the thirty-year reference period (1991-2020), ranks 8th among the warmest of the entire series (Figure 1).

Data
Data
Thumbnail
Headline

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

Data source

ISPRA