Year: 2025
Type: conference-paper
Abstract: Climate change is disrupting nature, human lives, and infrastructure worldwide. Its effects are becoming more evident in every region, with IPCC reports warning of a warming world and an increase in extreme weather events. The scale and severity of climate change’s impacts exceed earlier estimates, leading to widespread disruption of ecosystems and societies. It threatens food production, clean water availability, and ultimately, the health and well-being of billions. The primary driver of these changes is rising global temperatures, which significantly influence climate patterns and hydrological conditions. This study analyzes time series of summer air temperature (at 500 hPa and 850 hPa) and total precipitation from NOAA records across ten major administrative regions of Greece over a 35-year period (1989–2024). Using a machine learning approach, the analysis identifies climate trends and extreme weather patterns while providing climate forecasts to support water management improvements and public health initiatives.
Authors: Dimitrios Kampolis, Panagiotis Nastos
Institution: National and Kapodistrian University of Athens
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
OpenAlex ID: W4415170777