FROST DAYS

    Panel 1
    Data aggiornamento scheda
    Autori

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

    Abstract
    Grafici interattivi
    Abstract

    This indicator describes trends in cold extremes across Italy, specifically quantifying the number of frost days, defined as days with daily minimum air temperature less than or equal to 0°C. In 2023, a reduction of approximately 10 frost days was observed compared to the 1991–2020 climatological baseline.

    Descrizione

    The presence of extreme temperature events and related long-term trends is assessed through the analysis of daily absolute minimum and maximum air temperatures. The indicator, based on definitions provided by the "CCL/CLIVAR Working Group on Climate Change Detection" refers to the number of days when the daily minimum air temperature is less than or equal to 0°C.

    Scopo

    The annual time series of the average number of frost days, expressed as an anomaly relative to a climatological baseline, enables the estimation of the frequency of cold extremes and the identification 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
    Determinante
    Tipologia indicatore
    Descrittivo (A)
    Riferimenti bibliografici

    https://scia.isprambiente.it; 

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

    ISPRA, 2022, I normali climatici 1991-2020 di temperatura e precipitazione in Italia; 

    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; 

    ISPRA, 2015, Valori climatici normali di temperatura e precipitazione in Italia; 

    ISPRA, 2014, Focus on "Le città e la sfida ai cambiamenti climatici"; 

    ISPRA, 2013, Variazioni e tendenze degli estremi di temperatura e precipitazione in Italia; 

    ISPRA, 2012, Elaborazione delle serie temporali per la stima delle tendenze climatiche; 

    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, 2024, Il clima in Italia nel 2023; 

    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 frost 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 (Istituto Superiore per la Protezione e la Ricerca Ambientale) 

    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

    1961-2023

    Descrizione della metodologia di elaborazione

    To determine if a specific day of the year can be defined as a day with frost, a comparison is made between the minimum temperature of that particular day and the threshold temperature of 0°C. Therefore, daily minimum temperature data is required. The program used by the SCIA system (National System for the Processing and Dissemination of Climatic Data) processes the raw data and returns a daily minimum temperature value, which is accepted as valid data only if it has passed certain checks. If the daily minimum temperature data is correct, the difference between this value and the 0°C threshold is calculated to determine if the day can be considered a day with frost. The annual value of the indicator is calculated by summing the number of days with frost in a given year. This value is accepted as valid data only if at least 75% of the valid daily data for the year in question is available. The climatological base for the calculation of anomalies has been updated to the most recent 30-year period, 1991-2020. This choice is based on recent recommendations from the World Meteorological Organization to update the climatological base every ten years for operational climatology purposes.

    Periodicità di aggiornamento
    Annuale
    Data quality

    The indicator adequately describes the trend of intense cold events in Italy. The calculation of the indicator is conducted using a standardized methodology and following the general criteria outlined 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 organizations 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 Climatic Data) of ISPRA. The use of average anomaly values across the entire national territory adequately meets the information requirements related to this indicator. The measurement stations whose data are used to calculate the anomaly and estimate the ongoing trend meet the requirements for duration, continuity, completeness, and homogeneity of the time series.

    Stato
    Scarso
    Trend
    Negativo
    Valutazione/descrizione dello stato

    In 2023, a decrease of approximately 10 days with frost (average number of days with a minimum temperature less than or equal to 0°C) was observed compared to the average value calculated for the reference period 1991-2020. For the average number of frost days, 2023 ranks 3rd among the lowest of the entire historical series (Figure 1).

    Valutazione/descrizione del trend

    In the last 10 years, frost days have consistently been below the norm, except for 2017. Since the main international political strategies and programs concerning climate change aim to counteract the 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 deviation from this objective.

    Commenti

    Based on the assessment of the time series of annual mean anomalies in the number of frost days in Italy, 2023 recorded a decrease of approximately 10 days compared to the baseline climatological average (1991–2020), ranking as the third lowest value in the entire historical dataset (Figure 1).

    Grafici interattivi
    Allegati
    Thumbnail
    Titolo

    Figure 1: Time series of annual mean anomalies in the number of frost days in Italy relative to the 1991–2020 baseline.

    Fonte

    ISPRA

    English