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August 17, 2025Jurnal MSA ( Matematika dan Statistika serta Aplikasinya )Open Access

Application of Extreme Value Distribution on Temperature Data in South Sulawesi Province

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Authors

SASri Dewi Anugrawati

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Overview

Analysis applies extreme value distribution to temperature data, highlighting projected increases in extremes over 50 years.

Key Points

  • Extreme minimum and maximum temperatures are projected to rise, suggesting an urgent need for risk mitigation measures.
  • The maximum return level calculated indicates significant increases in temperature projections over the next 50 years.
  • Analysis utilized the Generalized Extreme Value and Generalized Pareto Distribution, applying maxima block and Peak Over Threshold methods.
  • Studying temperature data from 1945 to 2020 provides valuable insights for adapting to climate change in the region.

Cite This Study

Sri Dewi Anugrawati (2025) studied this question.

synapsesocial.com/papers/68a36ddf0a429f79733313fahttps://doi.org/10.24252/msa.v13i1.60223
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