Title: L. Padman, S. Erofeeva, G. Egbert Presentation at
1A Barotropic Inverse Tidal Modelfor the Arctic
Ocean
- S. Erofeeva 1, L. Padman 2, G. Egbert 1
- 1 Oregon State University, Corvallis, OR
- 2 Earth Space Research, Seattle, WA
- Sponsored by NSF Polar Programs (Arctic)
2Why study Arctic tides?
- Tides as noise
- Remove ocean tide and load tide on solid earth
from satellite gravity records (e.g., GRACE). - Remove tidal currents from vessel ADCP records.
- Tides as signal
- Tidal currents contribute to ocean mixing,
rectified mean flows. - Periodic divergence of tidal currents affects ice
roughness, mean open water fraction, mean ice
formation rates.
3Model domain and data sites
- Tide gauge data () prov-ided by A. Proshutinsky
and G. Kivman - ERS and TOPEX/Poseidon radar altimetry (lilac and
yellow dots, respectively) provided by R. Ray and
B. Beckley - 7 subdomains.
Water depth (m)
4Steps to obtain an inverse model
- Get a prior solution
- Define bathymetryIBCAO
- Set dynamic equations....linearized SWE
- Choose open boundary conditionsTPXO6.2.
- Assimilate data (EBF 1994, EE 2002)
- Set linearized dynamic equations
- Assign errors in dynamics and data
- Minimize quadratic penalty functional sum of
dynamics and data misfits weighted with error
covariances.
5Prior model main features
- 8 constituents M2,S2,N2,K2,K1,O1,P1,Q1
- High resolution (5 km) Bathymetry from IBCAO
- Dynamics is based on shallow water equations
(SWE) solved by direct matrix factorization.
Simplifications to the SWE include - tidal loading and self attraction computed from a
global model (TPXO6.2) - linear benthic friction, F(r/H)U, where r is the
friction velocity, H is the water depth, and U is
the depth-integrated transport (r0.5 m s-1 for
semi-diurnal constituents and 2 m s-1 for
diurnals) - No sea ice.
- Open boundary conditions taken from the latest
global tidal model TPXO6.2, 1/4º resolution.
6Tide height fields Semidiurnal (M2)
Diurnal (K1)
(From 5-km inverse solution)
7Elevation comparison of the prior and KP94
semi-diurnals
M2 Amp(Prior)-Amp(KP94) (cm)
White Sea
Canadian Arctic Archipelago
8Elevation comparison of the prior and KP94
diurnals
K1 Amp(Prior)-Amp(KP94) (cm)
Baffin Bay Archipelago
9Inverse model main features
- Corrects 4 most energetic constituents M2, S2,
K1, O1 - Assimilates 364 cycles of T/P data (11178 sites),
108 cycles of ERS data (18224 sites), 250-310
tide gauges per constituent - Dynamics covariance as in EBF 1994, decorrelation
length scale 50 km - Data error set for TG 0.05 cm, estimates for
satellite 3 cm (up to 20 cm) - Use effective data assimilation scheme
implemented in OTIS (OSU Tidal Inversion
Software) http//www.oce.orst.edu/po/research/tide
/index.html.
10Elevation comparison of prior and inverse
semi-diurnals
M2 Amp(Inverse)-Amp(Prior) (cm)
White Sea
11Elevation comparison of prior and inverse
diurnals
K1 Amp(Inverse)-Amp(Prior) (cm)
Baffin Bay Archipelago
12Model comparisons to tide gauge data
Semidiurnal M2 Diurnal . K1
13Mean tidal current speed
- The calculation is based on simulating 14 days of
hourly total tidal speed from the inverse
solution -
- Spring tide maximum speed
- umax?2u
u (cm s-1) logarithmic color scale
14Conclusions
- Averaged over the entire model domain, the M2,
S2, K1 and O1 tides account for 79, 10, 5 and
1 of the total (8 constituent) tidal potential
energy, respectively. Tide height variability is
overwhelmingly dominated by M2. - Inverse Arctic tide model is most consistent with
available tide gauge data and satellite
altimetry. Long term goal to develop
dynamics-only models with comparable accuracy. - Further improvements are likely through increased
resolution, addition of ice-ocean interactions,
and more sophisticated dissipation
parameterizations, including benthic friction and
the conversion of barotropic tidal energy to
internal tides . - The inverse model is available from
http//www.oce.orst.edu/po/research/tide/Arc.html
(Fortran-based) and http//www.esr.org/arctic_tide
s_index.html (Matlab-based).