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ArcTiCA: Arctic tidal constituents atlas.
Hart-Davis, M G; Howard, S L; Ray, R D; Andersen, O B; Padman, L; Nilsen, F; Dettmering, D.
Afiliación
  • 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.
Sci Data ; 11(1): 167, 2024 Feb 03.
Article en En | MEDLINE | ID: mdl-38310137
ABSTRACT
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.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: Alemania