Terzi (2025) PyDRGHT: A comprehensive python package for drought analysis

Identification

• Journal: Environmental Modelling & Software
• Year: 2025
• Date: 2025-12-24
• Authors: Tolga Barış Terzi
• DOI: 10.1016/j.envsoft.2025.106847

Research Groups

• Department of Civil Engineering, Faculty of Engineering, Karadeniz Technical University, Trabzon, Turkey

Short Summary

This study introduces PyDRGHT, an open-source Python package for comprehensive drought analysis, providing a unified framework for computing univariate and multivariate drought indices, characterizing droughts, and conducting frequency analyses. Its utility is demonstrated using long-term precipitation and streamflow records from the Seyhan River Basin, Türkiye, showcasing robust drought detection and characterization.

Objective

• To develop and introduce PyDRGHT, a comprehensive, open-source Python package for integrated univariate and multivariate drought analysis, monitoring, and probabilistic assessment.

Study Configuration

• Spatial Scale: Seyhan River Basin, Türkiye (for demonstration).
• Temporal Scale: Long-term records from 1965 to 2011 (for demonstration).

Methodology and Data

• Models used: PyDRGHT Python package, Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), Standardized Streamflow Index (SSFI), Multivariate Standardized Drought Index (MSDI), Copula functions for bivariate frequency analysis.
• Data sources: Long-term precipitation and streamflow records (for demonstration).

Main Results

• PyDRGHT successfully provides a unified, open-source platform for computing various standardized univariate and multivariate drought indices.
• The package enables the identification of drought characteristics and facilitates univariate and copula-based bivariate frequency analyses for probabilistic assessments.
• The demonstration using data from the Seyhan River Basin (1965–2011) illustrates PyDRGHT's capability for robust drought detection and characterization.

Contributions

• Introduction of PyDRGHT, a novel, open-source Python package that unifies comprehensive drought analysis capabilities, including both univariate and multivariate (copula-based) approaches.
• Provides a transparent and reproducible framework for drought monitoring, risk assessment, and hydroclimatic research within the Python ecosystem.
• Advances the ability to capture interdependent behavior of multiple hydro-climatic variables for more realistic drought risk assessments.

Funding

• Not explicitly mentioned in the provided text.

Citation

@article{Terzi2025PyDRGHT,
  author = {Terzi, Tolga Barış},
  title = {PyDRGHT: A comprehensive python package for drought analysis},
  journal = {Environmental Modelling & Software},
  year = {2025},
  doi = {10.1016/j.envsoft.2025.106847},
  url = {https://doi.org/10.1016/j.envsoft.2025.106847}
}