Multi-scale assessment of high-resolution reanalysis precipitation fields over Italy
Abstract
This study focuses on the validation of high-resolution regional reanalyses to understand their effectiveness in reproducing precipitation patterns over Italy, a climate change hotspot characterized by coastal sea-land interaction and complex orography. Nine reanalysis products were evaluated, with the ECMWF global reanalysis ERA5 serving as a benchmark. These included both European (COSMO-REA6, CERRA) and Italy-specific (BOLAM, MERIDA, MERIDA-HRES, MOLOCH, SPHERA, VHR-REA\_IT) datasets, using different models and parametrizations. The inter-comparison involved determining the effective resolution of daily precipitation fields using wavelet techniques and assessing intense precipitation statistics through frequency distributions. In-situ observations and observational gridded datasets were used to independently validate reanalysis precipitation fields. The capability of reanalyses to depict daily precipitation patterns was assessed, highlighting a maximum radius of precipitation misplacement of about 15 km, with notably lower skills during summer. An overall overestimation of precipitation was identified in the reanalysis climatological fields over the Po Valley and the Alps, whereas multiple products showed an underestimation of precipitations across the North-West coast, the Apennines, and Southern Italy. Finally, a comparison with a time-consistent observational dataset (UniMi/ISAC-CNR) revealed a non-stable deviation from observations in the annual precipitation cumulate of the reanalysis products analyzed. This should be taken into account when interpreting precipitation trends over Italy.
Cite
@article{arxiv.2407.11517,
title = {Multi-scale assessment of high-resolution reanalysis precipitation fields over Italy},
author = {Francesco Cavalleri and Cristian Lussana and Francesca Viterbo and Michele Brunetti and Riccardo Bonanno and Veronica Manara and Matteo Lacavalla and Simone Sperati and Mario Raffa and Valerio Capecchi and Davide Cesari and Antonio Giordani and Ines Maria Luisa Cerenzia and Maurizio Maugeri},
journal= {arXiv preprint arXiv:2407.11517},
year = {2024}
}