法属波利尼西亚海平面监测数据库

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Jean-Pierre Barriot, Fangzhao Zhang, Bernard Ducarme, Guy Wöppelmann, Gaël André, Alban Gabillon
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引用次数: 1

摘要

本文介绍了塔希提岛大地测量天文台于2009年6月13日至2021年1月28日在法属波利尼西亚上空管理的五个大地测潮仪网络获得的海平面测量数据的策划数据库。该数据库的一个独特之处在于,与以前拥有相同原始数据的数据库相比,如政府间海洋学委员会数据库(IOC,www.IOC‐sealevelmonitoring.org)和“海洋观测报告”数据库(REFMAR,http://refmar.shom.fr)原始测量的所有时间标签(1或2分钟采样)都经过验证,如有必要,以2的精度进行校正 min(时移高达1 hr可以存在于原始数据中)。可能的异常值也被标记,但没有被删除。此外,还提供了平滑的每小时数据,以及潮汐分析结果和五个验潮仪相对于当地大地测量基准的海平面趋势估计。该数据库名为“2009年06月13日至2021年01月28日从南太平洋潮汐站收集的海平面”,可在NOAA数据服务器上访问为“NCEI登录0244182”,包含两个子集:第一个子集与原始采样率有关,第二个子集与每个验潮站的谐波潮汐模型每小时重新采样有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A database for sea-level monitoring in French Polynesia

A database for sea-level monitoring in French Polynesia

This article presents a curated database of the sea-level measurements acquired by the network of the five geodetic tide gauges managed over French Polynesia by the Geodesy Observatory of Tahiti from 13 June 2009 to 28 January 2021. A unique feature of this database, with respect to previous databases that host the same raw data, like the Intergovernmental Oceanographic Commission database (IOC, www.ioc-sealevelmonitoring.org) and the database of ‘Réseaux de référence des observations marégraphiques’ (REFMAR, http://refmar.shom.fr) is that all the time-tags of the raw measurements (1- or 2-min sampling) have been validated and, if necessary, corrected with a precision of 2 min (time shifts of up to 1 hr can be present in the raw data). Possible outliers have also been flagged, but not removed. In addition, smoothed hourly data are also provided, along with tidal analysis results and estimations of the sea-level trends for the five tide gauges, with respect to their local geodetic datum. The database, entitled ‘SEA LEVEL collected from TIDE STATIONS in South Pacific Ocean from 2009-06-13 to 2021-01-28’, can be accessed on the NOAA data servers as ‘NCEI Accession 0244182’ and contains two subsets: The first one is relative to the original sampling rate and the second one is relative to an hourly re-sampling with harmonic tide models for each tide gauge station.

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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
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.
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