Ercan et al. (2025) Rethinking standardized drought indices for critical drought evaluation

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Journal of Water and Climate Change
• Year: 2025
• Date: 2025-11-28
• Authors: Cansu Ercan, Ahmad Abu Arra, Eyüp Şişman
• DOI: 10.2166/wcc.2025.037

Research Groups

Not specified in the abstract.

Short Summary

This study investigates the differences between classical and dynamic Standardized Precipitation Index (SPI) models, revealing that dynamic models produce significantly longer drought durations, particularly at short and medium timescales, highlighting the importance of model choice for accurate drought assessment.

Objective

• To investigate the differences between classical (C) and dynamic (D) Standardized Precipitation Index (SPI) models across various timescales using statistical metrics, drought classification, drought characteristics, and drought events.

Study Configuration

• Spatial Scale: Antalya Basin, Türkiye.
• Temporal Scale: Monthly precipitation data from 1969 to 2022 (54 years).

Methodology and Data

• Models used: Classical (C) and Dynamic (D) Standardized Precipitation Index (SPI) models.
• Data sources: Monthly precipitation data (observational).

Main Results

• The dynamic SPI model produces significantly longer drought durations compared to the classical model, especially at short and medium timescales.
• For SPI 6, classical model drought durations ranged between 4 and 6 months, while dynamic model durations ranged between 6 and 8 months, indicating up to a 50% increase.

Contributions

• Addresses a previously overlooked methodological aspect in standardized drought index (SDI) evaluation: the impact of the fitting process (classical vs. dynamic models).
• Demonstrates the significant influence of model choice on drought duration assessment, emphasizing its importance for accurate water resources management.

Funding

Not specified in the abstract.

Citation

@article{Ercan2025Rethinking,
  author = {Ercan, Cansu and Arra, Ahmad Abu and Şişman, Eyüp},
  title = {Rethinking standardized drought indices for critical drought evaluation},
  journal = {Journal of Water and Climate Change},
  year = {2025},
  doi = {10.2166/wcc.2025.037},
  url = {https://doi.org/10.2166/wcc.2025.037}
}