Multi-scale assessment of high-resolution reanalysis precipitation fields over Italy
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arXiv
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| Autores principales: | , , , , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866916326170165248 |
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| author | Cavalleri, Francesco Lussana, Cristian Viterbo, Francesca Brunetti, Michele Bonanno, Riccardo Manara, Veronica Lacavalla, Matteo Sperati, Simone Raffa, Mario Capecchi, Valerio Cesari, Davide Giordani, Antonio Cerenzia, Ines Maria Luisa Maugeri, Maurizio |
| author_facet | Cavalleri, Francesco Lussana, Cristian Viterbo, Francesca Brunetti, Michele Bonanno, Riccardo Manara, Veronica Lacavalla, Matteo Sperati, Simone Raffa, Mario Capecchi, Valerio Cesari, Davide Giordani, Antonio Cerenzia, Ines Maria Luisa Maugeri, Maurizio |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_11517 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Multi-scale assessment of high-resolution reanalysis precipitation fields over Italy Cavalleri, Francesco Lussana, Cristian Viterbo, Francesca Brunetti, Michele Bonanno, Riccardo Manara, Veronica Lacavalla, Matteo Sperati, Simone Raffa, Mario Capecchi, Valerio Cesari, Davide Giordani, Antonio Cerenzia, Ines Maria Luisa Maugeri, Maurizio Atmospheric and Oceanic Physics 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. |
| title | Multi-scale assessment of high-resolution reanalysis precipitation fields over Italy |
| topic | Atmospheric and Oceanic Physics |
| url | https://arxiv.org/abs/2407.11517 |