气候变化领域集成服务门户(CCPortal): Inter-comparison and validation of high-resolution surface air temperature reanalysis fields over Italy

CCPortal

DOI	10.1002/joc.8475
	Inter-comparison and validation of high-resolution surface air temperature reanalysis fields over Italy
	Cavalleri, Francesco; Viterbo, Francesca; Brunetti, Michele; Bonanno, Riccardo; Manara, Veronica; Lussana, Cristian; Lacavalla, Matteo; Maugeri, Maurizio
发表日期	2024
ISSN	0899-8418
EISSN	1097-0088
英文摘要	Surface air temperature (t2m) data are essential for understanding climate dynamics and assessing the impacts of climate change. Reanalysis products, which combine observations with retrospective short-range weather forecasts, can provide consistent and comprehensive datasets. ERA5 represents the state-of-the-art in global reanalyses and supplies initial and boundary conditions for higher-resolution regional reanalyses designed to capture finer-scale atmospheric processes. However, these products require validation, especially in complex terrains like Italy. This study analyses the capability of different reanalysis products to reproduce t2m fields over Italy during the 1991-2020 period. The analyses encompass ERA5, ERA5-Land, the MEteorological Reanalysis Italian DAtaset (MERIDA), the Copernicus European Regional ReAnalysis (CERRA), and the Very High-Resolution dynamical downscaling of ERA5 REAnalysis over ITaly (VHR-REA_IT). The validation we conduct pertains to both the spatial distribution of 30-year seasonal and annual normal values and the daily anomaly records. Each reanalysis is compared with observations projected onto its respective grid positions and elevations, overcoming any model bias resulting from an inaccurate representation of the real topography. Key findings reveal that normal values in reanalyses closely match observational values, with deviations typically below 1 degrees C. However, in the Alps, winter cold biases sometimes exceed 3 degrees C and show a relation with the elevation. Similar deviations occur in the Apennines, Sicily, and Sardinia. Conversely, VHR-REA_IT shows a warm bias in the Po Valley up to 3 degrees C in summer. Daily anomalies generally exhibit lower errors, with MERIDA showing the highest accuracy and correlation with observational fields. Moreover, when aggregating daily anomalies to annual time scales, the errors in the anomaly records rapidly decrease to <0.5 degrees C. The results of this study empower reanalysis users across multiple sectors to gain a more profound insight into the capabilities and constraints of different reanalysis products. The knowledge and the characterization of the reanalyses t2m bias against observations can indeed be crucial when incorporating these products into their research and practical applications.
英文关键词	climate reanalyses; climatology; gridded observational dataset; surface air temperature; validation
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:001217547300001
来源期刊	INTERNATIONAL JOURNAL OF CLIMATOLOGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/304705
作者单位	University of Milan; Consiglio Nazionale delle Ricerche (CNR); Istituto di Scienze dell'Atmosfera e del Clima (ISAC-CNR); Norwegian Meteorological Institute
推荐引用方式 GB/T 7714	Cavalleri, Francesco,Viterbo, Francesca,Brunetti, Michele,et al. Inter-comparison and validation of high-resolution surface air temperature reanalysis fields over Italy[J],2024.
APA	Cavalleri, Francesco.,Viterbo, Francesca.,Brunetti, Michele.,Bonanno, Riccardo.,Manara, Veronica.,...&Maugeri, Maurizio.(2024).Inter-comparison and validation of high-resolution surface air temperature reanalysis fields over Italy.INTERNATIONAL JOURNAL OF CLIMATOLOGY.
MLA	Cavalleri, Francesco,et al."Inter-comparison and validation of high-resolution surface air temperature reanalysis fields over Italy".INTERNATIONAL JOURNAL OF CLIMATOLOGY (2024).