DAYS WITH FREEZE

Update date
Authors

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

Abstract

The indicator describes the trend of intense cold weather in Italy, more precisely, it expresses the number of days with an absolute minimum air temperature less than or equal to 0°C. In 2025, a decrease of 15.4 days with frost 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 are analyzed by examining the absolute minimum and maximum air temperatures. Specifically, the "frost days" indicator, defined by the "CCL/CLIVAR Working Group on Climate Change Detection" for the analysis of temperature extremes, expresses the number of days with an absolute minimum air temperature less than or equal to 0°C.

Purpose

The annual series of the average number of days with frost, expressed as a difference from a climatological baseline, allows us to estimate the frequency of intense cold 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, Climate normals for 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 frost days 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 collection frequency
Annual
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

Average annual anomalies in the number of days with frost

Core SET
7° Programma di azione per l’Ambiente Europeo (7° EAP) - Dati sull’ambiente
Processing methodology

To determine whether a given day of the year can be defined as a frost day, the minimum temperature for that day is compared to the 0°C threshold. 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 0°C threshold is calculated and it is determined whether the day can be considered a frost day. The annual value of the indicator is calculated by adding the number of frost days 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 cold weather 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), regional networks) and 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, a decrease of 15.4 days with frost (average number of days with minimum temperatures less than or equal to 0°C) was observed compared to the average value calculated in the reference thirty-year period 1991-2020. For the average number of days with frost, 2025 ranks second among the lowest in the entire historical series (Figure 1).

Trend assessment/description

Over the past 13 years, frost days have consistently been below average, with the exception of 2017. Since major international climate change strategies and policy programs aim to counteract ongoing warming in the climate system, the assessment of an unfavorable trend and the assignment of the corresponding icon can be considered in terms of a departure from this objective.

Comments

The index of days with frost (minimum temperature below 0 °C) recorded the second lowest value in the entire historical series, after 2014, with a decrease of 15.4 days compared to the average of the reference period 1991-2020 (Figure 1).

Data
Data
Thumbnail
Titolo

Figura 1: Serie delle anomalie medie annuali del numero di giorni con gelo in Italia rispetto al valore normale 1991-2020

Fonte

ISPRA