Tramblay et al. (2019) The SAFRAN daily gridded precipitation product in Tunisia (1979–2015)

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

Identification

• Journal: International Journal of Climatology
• Year: 2019
• Authors: Yves Tramblay, Haifa Feki, Pere Quintana Seguí, José A. Guijarro
• DOI: 10.1002/joc.6181

Research Groups

Not explicitly detailed in the abstract.

Short Summary

A new high-resolution (5 km) daily precipitation dataset for Tunisia (1979–2015) was developed using 960 rain gauges combined with the SAFRAN analysis, demonstrating superior performance compared to standard interpolation methods and revealing a strong negative bias in the EOBS dataset.

Objective

• Develop and validate a high-resolution (5 km) gridded daily precipitation dataset for Tunisia spanning 1979 to 2015.
• Evaluate the performance of the SAFRAN analysis method against standard interpolation techniques and existing gridded products (EOBS).

Study Configuration

• Spatial Scale: Tunisia; 5 km grid resolution ($5 \times 10^3$ meters).
• Temporal Scale: Daily resolution; 37-year period (1979–2015).

Methodology and Data

• Models used: SAFRAN (Système d'Analyse Fournissant des Renseignements Atmosphériques de Neige); Inverse Distance Weighting (IDW); Nearest Neighbors; Ordinary Kriging; Residual Kriging.
• Data sources: 960 rain gauges (in situ observations); EOBS gridded dataset (for comparison); SAFRAN analysis.

Main Results

• The SAFRAN analysis significantly outperforms standard interpolation methods (Inverse Distance, Nearest Neighbors, Ordinary Kriging, Residual Kriging with altitude) in generating gridded precipitation data for Tunisia.
• A strong negative bias in precipitation is identified when comparing the new SAFRAN product against the widely used EOBS gridded dataset over the study area.
• The resulting SAFRAN product is suitable for climate model evaluation, climate studies, and hydrological modeling to support surface water resource management in Tunisia.

Contributions

• Introduction of a novel, high-resolution (5 km) daily precipitation dataset specifically tailored for Tunisia covering 37 years (1979–2015).
• Demonstration of the superior performance of the SAFRAN analysis method over traditional interpolation techniques in a semi-arid environment.
• Identification of a significant negative precipitation bias in the EOBS dataset over the Tunisian region.

Funding

Not explicitly detailed in the abstract.

Citation

@article{Tramblay2019SAFRAN,
  author = {Tramblay, Yves and Feki, Haifa and Quintana‐Seguí, Pere and Guijarro, José A.},
  title = {The SAFRAN daily gridded precipitation product in Tunisia (1979–2015)},
  journal = {International Journal of Climatology},
  year = {2019},
  doi = {10.1002/joc.6181},
  url = {https://doi.org/10.1002/joc.6181}
}

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