Francesco Cavalleri, Cristian Lussana, Francesca Viterbo, Michele Brunetti, Riccardo Bonanno, Veronica Manara, Matteo Lacavalla, Simone Sperati, Mario Raffa, Valerio Capecchi, Davide Cesari, Antonio Giordani, Ines Maria Luisa Cerenzia, Maurizio Maugeri
{"title":"意大利上空高分辨率再分析降水场的多尺度评估","authors":"Francesco Cavalleri, Cristian Lussana, Francesca Viterbo, Michele Brunetti, Riccardo Bonanno, Veronica Manara, Matteo Lacavalla, Simone Sperati, Mario Raffa, Valerio Capecchi, Davide Cesari, Antonio Giordani, Ines Maria Luisa Cerenzia, Maurizio Maugeri","doi":"arxiv-2407.11517","DOIUrl":null,"url":null,"abstract":"This study focuses on the validation of high-resolution regional reanalyses\nto understand their effectiveness in reproducing precipitation patterns over\nItaly, a climate change hotspot characterized by coastal sea-land interaction\nand complex orography. Nine reanalysis products were evaluated, with the ECMWF\nglobal reanalysis ERA5 serving as a benchmark. These included both European\n(COSMO-REA6, CERRA) and Italy-specific (BOLAM, MERIDA, MERIDA-HRES, MOLOCH,\nSPHERA, VHR-REA\\_IT) datasets, using different models and parametrizations. The\ninter-comparison involved determining the effective resolution of daily\nprecipitation fields using wavelet techniques and assessing intense\nprecipitation statistics through frequency distributions. In-situ observations\nand observational gridded datasets were used to independently validate\nreanalysis precipitation fields. The capability of reanalyses to depict daily\nprecipitation patterns was assessed, highlighting a maximum radius of\nprecipitation misplacement of about 15 km, with notably lower skills during\nsummer. An overall overestimation of precipitation was identified in the\nreanalysis climatological fields over the Po Valley and the Alps, whereas\nmultiple products showed an underestimation of precipitations across the\nNorth-West coast, the Apennines, and Southern Italy. Finally, a comparison with\na time-consistent observational dataset (UniMi/ISAC-CNR) revealed a non-stable\ndeviation from observations in the annual precipitation cumulate of the\nreanalysis products analyzed. This should be taken into account when\ninterpreting precipitation trends over Italy.","PeriodicalId":501166,"journal":{"name":"arXiv - PHYS - Atmospheric and Oceanic Physics","volume":"333 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-scale assessment of high-resolution reanalysis precipitation fields over Italy\",\"authors\":\"Francesco Cavalleri, Cristian Lussana, Francesca Viterbo, Michele Brunetti, Riccardo Bonanno, Veronica Manara, Matteo Lacavalla, Simone Sperati, Mario Raffa, Valerio Capecchi, Davide Cesari, Antonio Giordani, Ines Maria Luisa Cerenzia, Maurizio Maugeri\",\"doi\":\"arxiv-2407.11517\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study focuses on the validation of high-resolution regional reanalyses\\nto understand their effectiveness in reproducing precipitation patterns over\\nItaly, a climate change hotspot characterized by coastal sea-land interaction\\nand complex orography. Nine reanalysis products were evaluated, with the ECMWF\\nglobal reanalysis ERA5 serving as a benchmark. These included both European\\n(COSMO-REA6, CERRA) and Italy-specific (BOLAM, MERIDA, MERIDA-HRES, MOLOCH,\\nSPHERA, VHR-REA\\\\_IT) datasets, using different models and parametrizations. The\\ninter-comparison involved determining the effective resolution of daily\\nprecipitation fields using wavelet techniques and assessing intense\\nprecipitation statistics through frequency distributions. In-situ observations\\nand observational gridded datasets were used to independently validate\\nreanalysis precipitation fields. The capability of reanalyses to depict daily\\nprecipitation patterns was assessed, highlighting a maximum radius of\\nprecipitation misplacement of about 15 km, with notably lower skills during\\nsummer. An overall overestimation of precipitation was identified in the\\nreanalysis climatological fields over the Po Valley and the Alps, whereas\\nmultiple products showed an underestimation of precipitations across the\\nNorth-West coast, the Apennines, and Southern Italy. Finally, a comparison with\\na time-consistent observational dataset (UniMi/ISAC-CNR) revealed a non-stable\\ndeviation from observations in the annual precipitation cumulate of the\\nreanalysis products analyzed. This should be taken into account when\\ninterpreting precipitation trends over Italy.\",\"PeriodicalId\":501166,\"journal\":{\"name\":\"arXiv - PHYS - Atmospheric and Oceanic Physics\",\"volume\":\"333 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Atmospheric and Oceanic Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2407.11517\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Atmospheric and Oceanic Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.11517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-scale assessment of high-resolution reanalysis precipitation fields over Italy
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.