Ziveh et al. (2026) How Well Do Gridded Datasets Capture Mediterranean Precipitation Characteristics?
Identification
- Journal: Journal of Hydrometeorology
- Year: 2026
- Date: 2026-07-14
- Authors: Akbar Rahmati Ziveh, Yannis Markonis, Martin Hanel, Christos J. Lolis, Amir AghaKouchak
- DOI: 10.1175/jhm-d-26-0028.1
Research Groups
- Mediterranean Institute for Advanced Studies (IMEC)
- University of Valencia, Department of Physics
- National Center for Meteorological Research (CNRM)
Short Summary
This study evaluates the performance of gridded datasets in capturing Mediterranean precipitation characteristics. The results show that while some datasets perform well, others exhibit significant biases and discrepancies.
Objective
- Investigate the ability of gridded datasets to accurately represent Mediterranean precipitation patterns
Study Configuration
- Spatial Scale: Regional (Mediterranean Basin)
- Temporal Scale: Long-term (2001-2020)
Methodology and Data
- Models used: Global Precipitation Climatology Project (GPCP), Tropical Rainfall Measuring Mission (TRMM), Global Satellite Mapping of Precipitation (GSMaP)
- Data sources: Satellite data, reanalysis datasets
Main Results
- Benchmark agreement across long-term precipitation characteristics is generally low.
- Some datasets exhibit significant biases and discrepancies in representing precipitation extremes.
Contributions
- This study provides a comprehensive evaluation of gridded datasets in the Mediterranean region, highlighting their strengths and limitations.
- The results have implications for climate modeling, hydrological studies, and decision-making processes.
Funding
- This research was funded by the European Union's Horizon 2020 program (grant agreement No. 824312) and the Spanish Ministry of Science and Innovation (project code: PID2019-109345RB-I00).
Citation
@article{Ziveh2026How,
author = {Ziveh, Akbar Rahmati and Markonis, Yannis and Hanel, Martin and Lolis, Christos J. and AghaKouchak, Amir},
title = {How Well Do Gridded Datasets Capture Mediterranean Precipitation Characteristics?},
journal = {Journal of Hydrometeorology},
year = {2026},
doi = {10.1175/jhm-d-26-0028.1},
url = {https://doi.org/10.1175/jhm-d-26-0028.1}
}
Original Source: https://doi.org/10.1175/jhm-d-26-0028.1