GESLA第3版：全球高频海平面数据集的重大更新

IF 3.3 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Geoscience Data Journal Pub Date : 2022-09-08 DOI:10.1002/gdj3.174

Ivan D. Haigh, Marta Marcos, Stefan A. Talke, Philip L. Woodworth, John R. Hunter, Ben S. Hague, Arne Arns, Elizabeth Bradshaw, Philip Thompson

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引用次数: 32

摘要

本文描述了被称为GESLA（全球极端海平面分析）的准全球、高频海平面数据集的重大更新。数据集的版本1（2009年发布）和版本2（2016年发布）已用于许多已发表的研究，涉及广泛的海洋学和海岸工程相关调查，涉及评估潮汐、风暴潮、极端海平面和其他相关过程。与第二版相比，第三版数据集（2021年发布）包含的数据年数是第二版的两倍，记录数几乎是第二版本的四倍。该数据集由从世界各地的多个来源获得的记录组成。本文描述了数据集的组装、处理和格式，并概述了未来可能的改进。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

GESLA Version 3: A major update to the global higher-frequency sea-level dataset

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GESLA Version 3: A major update to the global higher-frequency sea-level dataset

This paper describes a major update to the quasi-global, higher-frequency sea-level dataset known as GESLA (Global Extreme Sea Level Analysis). Versions 1 (released 2009) and 2 (released 2016) of the dataset have been used in many published studies, across a wide range of oceanographic and coastal engineering-related investigations concerned with evaluating tides, storm surges, extreme sea levels, and other related processes. The third version of the dataset (released 2021), presented here, contains double the number of years of data, and nearly four times the number of records, compared to Version 2. The dataset consists of records obtained from multiple sources around the world. This paper describes the assembly of the dataset, its processing, and its format, and outlines potential future improvements.

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来源期刊

Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES

CiteScore

5.90

自引率

9.40%

发文量

审稿时长

4 weeks

期刊介绍： Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.