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August 22, 2025Jurnal TeknologiOpen Access

Outlier Detection in Rainfall Data Using Extreme Value Theory

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Authors

WSWan Muhammad Haiqal Shah Mohd SariffSDSayang Mohd DeniNGNor Azura Md Ghani

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Overview

Analysis reports improvement in outlier detection for rainfall data, indicating effective techniques for extreme events.

Key Points

  • The algorithm successfully detects outliers while preserving extreme daily precipitation values, enhancing data quality.
  • Key evidence shows that the Peaks-Over-Threshold method effectively identifies outliers using synthetic and real data.
  • Assessment using simulated rainfall data included testing the algorithm in various settings to ensure reliability.
  • This method improves future studies on extreme rainfall events, as better data quality management is critical for accurate analysis.

Cite This Study

Sariff et al. (2025) studied this question.

synapsesocial.com/papers/68af5228ad7bf08b1eada2f9https://doi.org/10.11113/jurnalteknologi.v87.22617
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