The Response of an Ocean General Circulation Model to Surface Wind Stress Produced by an Atmospheric General Circulation Model

An atmospheric general circulation model (GCM) was forced with the observed near-global sea surface temperature (SST) pattern for the period January 1970-December 1985. Its response over the Pacific Ocean is compared with Tahiti and Darwin station sea-level pressure and wind stress analyses obtained from Florida State University. The time-dependent SST clearly induces in the model run a Southern Oscillation that is apparent in the time series of all considered variables. The phase of the GCM Southern Oscillation is as observed but its low-frequency variance is too low and the spatial pattern is confined mainly to the western Pacific. The model is successful in reproducing the warm events of 1972—73 and 1982—83 and the cold event 1970—71, but fails with the cold events 1973-74 and 1975-76 and with the warm event 1976-77. Because the GCM is used as the atmospheric component in a coupled model, the response of an equatorial oceanic primitive equation model to both the modelled and observed wind stress is examined. The ocean model responds in essentially the same way to forcing with the observed wind stress and to forcing that corresponds to the first two low-frequency empirical orthogonal functions (EOFS) of the wind variations. These first two EOFS describe a regular eastward propagation of the so signal from the western Pacific to the central Pacific within about one year. The ocean model’s response to the modelled wind stress is too weak. It is similar to the response to the first observed wind stress EOF only. That is, the observed Southern Oscillation appears as a sequence of propagating patterns but the simulated Southern Oscillation appears as one standing pattern. The nature of the deviation of simulated wind stress from observations is further analysed by means of model output statistics.

Download Full-text

Performance evaluation for an ocean general circulation model: vectorization andmultitasking

Proceedings of the 2nd international conference on Supercomputing - ICS '88 ◽

10.1145/55364.55393 ◽

1988 ◽

Cited By ~ 1

Author(s):

P. Andrich ◽

G. Madec

Keyword(s):

Performance Evaluation ◽

General Circulation Model ◽

General Circulation ◽

Circulation Model ◽

Ocean General Circulation Model ◽

Ocean General Circulation

Download Full-text

Dynamical framework of IAP nine-level atmospheric general circulation model

Advances in Atmospheric Sciences ◽

10.1007/bf02919169 ◽

1990 ◽

Vol 7 (1) ◽

pp. 67-77 ◽

Cited By ~ 17

Author(s):

Zhang Xuehong

Keyword(s):

General Circulation Model ◽

General Circulation ◽

Atmospheric General Circulation Model ◽

Circulation Model ◽

Atmospheric General Circulation

Download Full-text

The South China Sea Throughflow Retrieved from Climatological Data*

Journal of Physical Oceanography ◽

10.1175/2008jpo3955.1 ◽

2009 ◽

Vol 39 (3) ◽

pp. 753-767 ◽

Cited By ~ 40

Author(s):

Max Yaremchuk ◽

Julian McCreary ◽

Zuojun Yu ◽

Ryo Furue

Keyword(s):

South China Sea ◽

General Circulation Model ◽

South China ◽

General Circulation ◽

Circulation Model ◽

Ocean General Circulation Model ◽

Luzon Strait ◽

The South China Sea ◽

China Sea ◽

Ocean General Circulation

Abstract The salinity distribution in the South China Sea (SCS) has a pronounced subsurface maximum from 150–220 m throughout the year. This feature can only be maintained by the existence of a mean flow through the SCS, consisting of a net inflow of salty North Pacific tropical water through the Luzon Strait and outflow through the Mindoro, Karimata, and Taiwan Straits. Using an inverse modeling approach, the authors show that the magnitude and space–time variations of the SCS thermohaline structure, particularly for the salinity maximum, allow a quantitative estimate of the SCS throughflow and its distribution among the three outflow straits. Results from the inversion are compared with available observations and output from a 50-yr simulation of a highly resolved ocean general circulation model. The annual-mean Luzon Strait transport is found to be 2.4 ± 0.6 Sv (Sv ≡ 106 m3 s−1). This inflow is balanced by the outflows from the Karimata (0.3 ± 0.5 Sv), Mindoro (1.5 ± 0.4), and Taiwan (0.6 ± 0.5 Sv) Straits. Results of the inversion suggest that the Karimata transport tends to be overestimated in numerical models. The Mindoro Strait provides the only passage from the SCS deeper than 100 m, and half of the SCS throughflow (1.2 ± 0.3 Sv) exits the basin below 100 m in the Mindoro Strait, a result that is consistent with a climatological run of a 0.1° global ocean general circulation model.

Download Full-text