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This study analyzes daily maximum temperature data from seven synoptic stations in Ardabil Province, Iran, to estimate extreme temperature values for 2–100-year return periods using statistical distributions. The findings indicate significant increases in maximum temperatures at certain stations, with the Logistic and Fisher-Tippet T2 distributions providing the best fits for different locations. The results underscore the necessity for site-specific temperature estimates to inform climate adaptation strate

Author

Thales Institute

Language

EN