دورية أكاديمية
ArcTiCA: Arctic tidal constituents atlas.
| العنوان: | ArcTiCA: Arctic tidal constituents atlas. |
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| المؤلفون: | Hart-Davis MG; Deutsches Geodätisches Forschungsinstitut, Technische Universität München, Munich, Germany. michael.hart-davis@tum.de., Howard SL; Earth and Space Research, Seattle, WA, USA., Ray RD; Geodesy & Geophysics Lab., NASA Goddard Space Flight Center, Greenbelt, Maryland, USA., Andersen OB; National Space Institute, Technical University of Denmark, Kongens, Lyngby, Denmark., Padman L; Earth and Space Research, Corvallis, OR, USA., Nilsen F; The University Centre in Svalbard, Longyearbyen, Norway., Dettmering D; Deutsches Geodätisches Forschungsinstitut, Technische Universität München, Munich, Germany. |
| المصدر: | Scientific data [Sci Data] 2024 Feb 03; Vol. 11 (1), pp. 167. Date of Electronic Publication: 2024 Feb 03. |
| نوع المنشور: | Dataset; Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: PubMed not MEDLINE; MEDLINE |
| أسماء مطبوعة: | Original Publication: London : Nature Publishing Group, 2014- |
| مستخلص: | Tides in the Arctic Ocean affect ocean circulation and mixing, and sea ice dynamics and thermodynamics. However, there is a limited network of available in situ tidal coefficient data for understanding tidal variability in the Arctic Ocean; e.g., the global TICON-3 database contains only 111 sites above 60°N and 21 above 70°N. At the same time, the presence of sea ice and latitude limits of satellite altimetry complicate altimetry-based retrievals of Arctic tidal coefficients. This leads to a reliance on ocean tide models whose accuracy depend on having sufficient in situ data for validation and assimilation. Here, we present a comprehensive new dataset of tidal constituents in the Arctic region, combining analyses of in situ measurements from tide gauges, ocean bottom pressure sensors and GNSS interferometric reflectometry. The new dataset contains 914 measurement sites above 60°N and 399 above 70°N, with each site being quality-assessed and expert guidance provided to help maximise the usage of the dataset. We also compare the dataset to recent tide models. (© 2024. The Author(s).) |
| References: | Ann Rev Mar Sci. 2020 Jan 3;12:121-151. (PMID: 31479622) Sci Data. 2020 Jul 9;7(1):176. (PMID: 32647176) Sci Data. 2020 Aug 21;7(1):275. (PMID: 32826909) |
| معلومات مُعتمدة: | DE2174/12-2 Deutsche Forschungsgemeinschaft (German Research Foundation); 1708424 National Science Foundation (NSF); 1708424 National Science Foundation (NSF); 276730 Norges Forskningsråd (Research Council of Norway) |
| تواريخ الأحداث: | Date Created: 20240203 Date Completed: 20240205 Latest Revision: 20240206 |
| رمز التحديث: | 20240206 |
| مُعرف محوري في PubMed: | PMC10838286 |
| DOI: | 10.1038/s41597-024-03012-w |
| PMID: | 38310137 |
| قاعدة البيانات: | MEDLINE |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 2052-4463 |
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| DOI: | 10.1038/s41597-024-03012-w |