FN Archimer Export Format
PT J
TI Tidal downscaling from the open ocean to the coast: a new approach applied to the Bay of Biscay
BT 
AF TOUBLANC, F.
   AYOUB, N. K.
   LYARD, F.
   MARSALEIX, P.
   ALLAIN, D. J.
AS 1:1;2:1;3:1;4:2;5:1;
FF 1:;2:;3:;4:;5:;
C1 Univ Toulouse, CNRS, LEGOS, CNES,IRD,UPS, F-31400 Toulouse, France.
   Univ Toulouse, CNRS, LA, F-31400 Toulouse, France.
C2 UNIV TOULOUSE, FRANCE
   UNIV TOULOUSE, FRANCE
IF 3.095
TC 12
UR https://archimer.ifremer.fr/doc/00427/53877/90045.pdf
LA English
DT Article
CR ASPEX
DE ;Tides;Downscaling;3D coastal modelling;Boundary conditions;Satellite altimetry;Bay of Biscay
AB Downscaling physical processes from a large scale to a regional scale 3D model is a recurrent issue in coastal processes studies. The choice of boundary conditions will often greatly influence the solution within the 3D circulation model. In some regions, tides play a key role in coastal dynamics and must be accurately represented. The Bay of Biscay is one of these regions, with highly energetic tides influencing coastal circulation and river plume dynamics. In this study, three strategies are tested to force with barotropic tides a 3D circulation model with a variable horizontal resolution. The tidal forcings, as well as the tidal elevations and currents resulting from the 3D simulations, are compared to tidal harmonics extracted from satellite altimetry and tidal gauges, and tidal currents harmonics obtained from ADCP data. The results show a strong improvement of the M2 solution within the 3D model with a ”tailored” tidal forcing generated on the same grid and bathymetry as the 3D configuration, compared to a global tidal atlas forcing. Tidal harmonics obtained from satellite altimetry data are particularly valuable to assess the performance of each simulation. Comparisons between sea surface height time series, a sea surface salinity database, and daily averaged 2D currents also show a better agreement with this tailored forcing. 
PY 2018
PD APR
SO Ocean Modelling
SN 1463-5003
PU Elsevier Sci Ltd
VL 124
UT 000427635500002
BP 16
EP 32
DI 10.1016/j.ocemod.2018.02.001
ID 53877
ER

EF