45 years of directional wave recorded data at the Acqua Alta oceanographic tower.

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Scientific Data Pub Date : 2025-02-06 DOI:10.1038/s41597-025-04541-8
Luigi Cavaleri, Angela Pomaro, Luciana Bertotti, Andrea Bonometto, Luca De Nat, Alvise Papa, Valerio Volpe
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Abstract

The dataset comprises a 45-year-long directional wave time series recorded at the Acqua Alta Oceanographic research Tower (AAOT) since 1979. The AAOT is located in the Northern Adriatic Sea and it is managed by the Institute of Marine Sciences of the National Research Council of Italy (CNR-ISMAR). The extent of the time series enables the description of the wave climate in the North Adriatic region and the identification of trends and links with large-scale climate patterns from a single and permanent observational source. Different wave gauges have been used since the start of the measurements, progressively upgraded and repositioned during maintenance operations. The recent addition of more precise instruments and the availability of the related raw dataset allowed for a re-evaluation of the previously published data, while extending the timeseries in time. This has enabled the creation of a substantially improved, yet homogeneous, measured dataset, thereby enhancing the reliability of the related long-term scenario analysis.

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Acqua Alta海洋塔45年来的定向波记录数据。
该数据集包括Acqua Alta海洋研究塔(AAOT)自1979年以来记录的45年定向波时间序列。AAOT位于亚得里亚海北部,由意大利国家研究委员会海洋科学研究所(CNR-ISMAR)管理。时间序列的范围使我们能够描述北亚得里亚海地区的波浪气候,并从单一和永久的观测源确定大尺度气候模式的趋势和联系。自测量开始以来,已经使用了不同的波浪计,在维护操作期间逐步升级和重新定位。最近增加的更精确的仪器和相关原始数据集的可用性允许对先前发布的数据进行重新评估,同时延长时间序列。这使得创建一个大大改进的、同质的测量数据集成为可能,从而提高了相关长期情景分析的可靠性。
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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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