Yaldiz et al. (2026) A Step Toward Rainfall Erosivity Mapping Over Türkiye Using Kriging With External Drift

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

Identification

• Journal: Hydrological Processes
• Year: 2026
• Date: 2026-03-01
• Authors: Sait Genar Yaldiz, Hayrullah Agaccioglu, Gert Verstraeten
• DOI: 10.1002/hyp.70477

Research Groups

[Information not provided in the abstract.]

Short Summary

This study mapped the rainfall erosivity (R) factor over Türkiye using Kriging with External Drift (KED) and satellite-derived Modified Fournier Index (MFI). The KED model significantly outperformed linear regression, ordinary kriging, and a global erosivity product, achieving a Kling-Gupta Efficiency (KGE) of 0.68.

Objective

• To map the rainfall erosivity (R) factor over Türkiye using the Kriging with External Drift (KED) interpolation technique, incorporating satellite-derived Modified Fournier Index (MFI) as auxiliary information.

Study Configuration

• Spatial Scale: Türkiye; 0.05° spatial resolution grid.
• Temporal Scale: Monthly precipitation estimates; long-term rainfall measurements (specific duration not provided).

Methodology and Data

• Models used: Kriging with External Drift (KED), Linear Regression Model (LM), Ordinary Kriging (OK).
• Data sources:
  • Ground-based rainfall measurements from 222 observation stations.
  • Satellite-derived Modified Fournier Index (MFI) from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS).
  • Global Rainfall Erosivity Database (GloREDa) for comparative analysis.

Main Results

• Validation of CHIRPS-derived MFI values against station observations yielded a correlation coefficient (CC) of 0.78 and a relative root mean square error (RRMSE) of 0.36.
• The Kriging with External Drift (KED) model achieved a Kling-Gupta Efficiency (KGE) of 0.68 at independent testing locations.
• KED predictions outperformed the Linear Regression Model (LM), Ordinary Kriging (OK), and the globally available Global Rainfall Erosivity Database (GloREDa).

Contributions

• Developed and validated a robust methodology for mapping the rainfall erosivity (R) factor at a regional scale (Türkiye) using Kriging with External Drift (KED) and satellite-derived Modified Fournier Index (MFI).
• Demonstrated the superior performance of KED over traditional interpolation methods (LM, OK) and a global product (GloREDa) for R factor estimation in data-scarce regions.
• Provided a high-resolution R factor map for Türkiye, expected to support decision-making in watershed management and soil conservation planning.

Funding

[Information not provided in the abstract.]

Citation

@article{Yaldiz2026Step,
  author = {Yaldiz, Sait Genar and Agaccioglu, Hayrullah and Verstraeten, Gert},
  title = {A Step Toward Rainfall Erosivity Mapping Over Türkiye Using Kriging With External Drift},
  journal = {Hydrological Processes},
  year = {2026},
  doi = {10.1002/hyp.70477},
  url = {https://doi.org/10.1002/hyp.70477}
}