作者: C. Le Provost , F. Lyard , J. M. Molines , M. L. Genco , F. Rabilloud
DOI: 10.1029/97JC01733
关键词: Ocean tide model 、 Meteorology 、 Empirical modelling 、 Satellite altimeter 、 Finite element method 、 Derived Data 、 Atmospheric sciences 、 Sea level 、 Data assimilation 、 Environmental science 、 Altimeter 、 Palaeontology 、 Forestry 、 Aquatic science 、 Atmospheric Science 、 Soil science 、 Geochemistry and Petrology 、 Geophysics 、 Oceanography 、 Water Science and Technology 、 Earth-Surface Processes 、 Ecology (disciplines) 、 Earth and Planetary Sciences (miscellaneous) 、 Space and Planetary Science
摘要: An upgraded version of the tidal solutions (FES94.1) is presented, obtained by assimilating an altimeter-derived data set in finite element hydrodynamic model, following representer approach. The assimilated are drawn from CSR2.0 Texas sampled on a 5° × grid. assimilation applied over Atlantic, Indian, and Pacific Oceans. standard release new FES95.2 0.5° gridded full solutions. associated prediction model includes 26 constituents. eight major constituents directly model: K1, O1, Q1, M2, S2, N2, K2, 2N2, corrected except K2 2N2. other 18 derived admittance. Among them μ2, ν2, L2, T2, M1, P1, J1, OO1. quality these evaluated reference to sea truth 95 stations. This significantly improved after process applied: root-sum-square (RSS) differences between observations, for constituents, reduced 3.8 cm FES94.1 2.8 FES95.2, i.e., gain 1 cm. performances comparing predictions with observations at 59 sites distributed world ocean looking level variance surface variability observed T/P altimeter its cross-over track points correction. These evaluations lead same conclusion: this performs much better than one based FES94.1, because correction increase number 13 26. accuracy those produced best recent empirical models.