Spatio-Temporal Analysis of Heatwaves Characteristics in Greece from 1950 to 2020

Galanaki, Elissavet; Giannaros, Christos; Kotroni, Vassiliki; Lagouvardos, K.; Papavasileiou, Georgios

doi:10.3390/cli11010005

Cited by 18 publications

(12 citation statements)

References 78 publications

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“…Unfavorably warm conditions are mainly met from May to September and cool from December to March. The highest percentage of hours with heat stress is recorded in July and August as these months are associated with the maximum number of heatwaves (Galanaki et al 2023). Conversely, January and February experienced peak occurrences of cold stress.…”

Section: Discussionmentioning

confidence: 99%

Thermal bioclimate in Greece based on the Universal Thermal Climate Index (UTCI) and insights into 2021 and 2023 heatwaves

Pantavou,

Kotroni,

Kyros

et al. 2024

Theor Appl Climatol

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The research on the thermal bioclimate is increasingly valuable in the context of climate change. Human well-being is threatened not only from direct exposure to extreme thermal conditions and complications from underlying health issues but also from disruptions of health and social services. This study aims at examining the thermal bioclimate in Greece. Data of ERA5-Land reanalysis dataset were used to estimate the Universal Thermal Climate Index (UTCI, in °C). The analysis covered a 30-year period (1991–2020) examining UTCI climatology and trends. Additionally, the intensity of two recent heatwaves which occurred in summers 2021 and 2023 was assessed. During the period 1991–2020, the UTCI equivalent temperature ranges between -49.8 °C and 51.9 °C [mean ± standard deviation (sd) = 13.3 ± 12.2 °C] classifying thermal stress from ‘extreme cold stress’ to ‘extreme heat stress’. Across the country, the mean UTCI ranges from 7.5 °C to 17.8 °C (mean ± sd = 13.3 ± 2.1 °C), with a decrease of 0.5 °C per latitude degree. Mountainous regions exhibit the lowest UTCI equivalent temperatures, while inland plains display higher UTCI equivalent temperatures, especially in the eastern regions of the country. An increasing trend in mean annual UTCI (mean = 0.05 °C/year) is identified, more pronounced in higher latitude regions. Both the 2021 and 2023 heatwaves were exceptionally severe, with about 99% of the population to experience mean UTCI equivalent temperatures falling within stress categories of ‘moderate heat stress’ and above. The 2023 heatwave set a new record with the highest absolute maximum UTCI (52.1 °C) and number of heat stress hours compared to the period 1991–2020. The bioclimatic maps developed in this study analyze the spatial variability in the thermal conditions across Greece identifying high-risk areas. These findings can contribute to impact studies for tourism, energy efficiency, urban design and public health purposes.

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Section: Discussionmentioning

confidence: 99%

Thermal bioclimate in Greece based on the Universal Thermal Climate Index (UTCI) and insights into 2021 and 2023 heatwaves

Pantavou,

Kotroni,

Kyros

et al. 2024

Theor Appl Climatol

Self Cite

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“…Heatwaves were characterized as intervals during which two thresholds, derived from an adapted version of the Excess Heat Factor index (EHF) and the 95th percentile of the maximum daily temperature, were surpassed continuously for a minimum of three consecutive days [3]. Heatwaves were characterized as intervals during which two thresholds, derived from an adapted version of the Excess Heat Factor index (EHF) and the 95th percentile of the maximum daily temperature, were surpassed continuously for a minimum of three consecutive days [4].…”

Section: Literature Reviewmentioning

confidence: 99%

Web GIS-Based Temporal Analysis of Climatic Factors Impacting Heat Stroke in Karachi

Atif,

Rehman,

Butt

et al. 2024

JGIS

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This study focuses on the impact of climate change, specifically the increasing threat of heatwaves, in Pakistan, with a particular emphasis on the city of Karachi. The Pakistan Meteorological Department (PMD) analysed a century of climatic data to reveal warming trends, attributing them to human-induced factors. The vulnerability of Pakistan to climate change is highlighted, given its warm climate and location in a region where temperature increases are expected to surpass global averages. The study examines the past three decades, noting a significant rise in the frequency of hot days, especially in Karachi, where heatwaves have become more prevalent. The aims and objectives of the study involve identifying temporal changes in temperature, rainfall, humidity, and wind speed from 1984 to 2014 in Karachi. The literature review emphasizes the health implications of heatwaves, citing increased mortality during such events globally. The study incorporates a comprehensive temporal analysis, addressing gaps in previous research by considering multiple climate indicators responsible for heatwaves. The methodology involves statistical analyses, including linear regression and Pearson correlation, applied to temperature data and urbanization parameters. Results indicate an increasing trend in heat index temperature, with heatwave vulnerability peaking in the last three decades. Heat Index Temperature Anomalies show a clear surge, emphasizing the need for new indices to control critical heat stress conditions. The study concludes that tropical climate variability, particularly heat index, is linked to extreme hot days, urging measures to reduce population vulnerability. The findings underscore the importance of policy strategies, such

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“…Furthermore, adjusting hyper-parameters in the RF model can lead to overfitting, particularly when the rules are overly complex and tailored to the training data. Employing unseen test data and cross-validation methods can help mitigate this risk and ensure improved performance on new datasets [112,113].…”

Section: Accuracy and Validation Of Land Surface Temperature Predicti...mentioning

confidence: 99%

Spatial-Multitemporal Analysis of Heatwaves in Thailand: Discrepancies between In-Situ Air Temperature and Remote Sensing-Derived Land Surface Temperature

Chongtaku,

Taparugssanagorn,

Miyazaki

et al. 2024

Preprint

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In light of the critical and emerging global challenge posed by the increasing frequency and severity of heatwaves in recent decades, this study demonstrates a practical and robust workflow that bridges the gap in understanding how the effective integration of remote sensing data with ground-based observations can facilitate a comprehensive assessment of spatiotemporal heatwave patterns and trends in the central region of Thailand. This research transcends traditional methods, utilizing air temperature (Tair) and satellite-derived land surface temperature (LST) data from 1981 to 2019. Results exhibit that an analysis of Tair indicates increasing daytime heatwaves in peri-urban areas, with significant trends in heatwave number (HWN), heatwave frequency (HWF), and heatwave duration (HWD), heatwave amplitude (HWA) rises in urban settings while nighttime heatwaves significantly intensify in rural locales. Notably, LST trends reveal varied patterns, with peri-urban areas showing marked daytime increases in heatwave magnitude (HWM), HWA, and HWF. Correlation analysis (p=0.05) highlights strong daytime associations between Tair and LST in rural (HWN, HWF, HWD, r&gt;0.90) and peri-urban (HWM, HWA, r&gt;0.65) regions. Overall, this study advances approaches to the adaptable measurement and spatial-temporal pattern of heatwave-related risk areas, providing insights for decision-makers to develop sustainable practices and strategies for climate change adaptation.

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Spatio-Temporal Analysis of Heatwaves Characteristics in Greece from 1950 to 2020

Cited by 18 publications

References 78 publications

Thermal bioclimate in Greece based on the Universal Thermal Climate Index (UTCI) and insights into 2021 and 2023 heatwaves

Thermal bioclimate in Greece based on the Universal Thermal Climate Index (UTCI) and insights into 2021 and 2023 heatwaves

Web GIS-Based Temporal Analysis of Climatic Factors Impacting Heat Stroke in Karachi

Spatial-Multitemporal Analysis of Heatwaves in Thailand: Discrepancies between In-Situ Air Temperature and Remote Sensing-Derived Land Surface Temperature

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