PyDRGHT: A comprehensive python package for drought analysis

TERZİ T. B.

Environmental Modelling and Software, cilt.197, 2026 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 197
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1016/j.envsoft.2025.106847
  • Dergi Adı: Environmental Modelling and Software
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, Environment Index, Geobase, Greenfile, INSPEC, Public Affairs Index
  • Anahtar Kelimeler: Copula, Drought, Drought analysis, Drought index, Drought monitoring, Extremes
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

Drought is an escalating environmental hazard with profound societal and ecological impacts, intensified by climate change. Effective monitoring and probabilistic assessment require integrated tools capable of capturing both univariate and multivariate characteristics, including the interdependent behavior of multiple hydroclimatic variables. This study introduces PyDRGHT, an open-source Python package for comprehensive drought analysis. PyDRGHT provides a unified framework for computing standardized univariate and multivariate drought indices, identifying drought characteristics, and conducting univariate and copula-based bivariate frequency analyses to enable transparent and reproducible probabilistic assessments. PyDRGHT's utility is demonstrated using long-term precipitation and streamflow records from the Seyhan River Basin, Türkiye (1965–2011), illustrating robust drought detection and characterization. By offering a flexible and robust platform within the Python ecosystem, PyDRGHT advances drought monitoring, risk assessment, and hydroclimatic research.