www.ecco-group.org/abstracts/woce_katja.txt

North Atlantic low-frequency changes of volume and
heat transports in the ECCO state estimates

K. Lorbacher, A. Koehl and D. Stammer, SIO

From a solution of the global ECCO state estimation we
diagnose
the low-frequency (seasonal to interannual) variability of meridional
volume and heat transports between 20N and 60N in the North Atlantic
Ocean. The model transports are compared with estimates across the
nominal "48N"-section (WOCE/A2) -- reaching from the English Channel
to the Grand Banks -- where a coherent hydrographic data set was
obtained during seven cruises from 1993 to 2000.

The standard deviation of the monthly-mean anomalies of the simulated
overturning rate at "48N" amounts to 2 Sv and of the heat transport to
0.08 PW, respectively; the year-to-year variability is half of those
numbers. In contrast to the model simulations, the observed amplitudes
lie 50% above the model transport variations on interannual timescale.
The percentage of the different components contributing to the total
heat transport in the model is consistent with the estimates from the
observations: In the time-mean, the baroclinic component of the heat
transport contributes 80% to the total integral and the Ekman component
10%. However, the latter explains 90% of the diagnosed low-frequency
variability. In the observations the baroclinic component is mainly
responsible for interannual variations and thereby changes in the sign
of the horizontal component appears to be dynamically relevant. From
the model output we compute error bars on the observed transport
estimates to test their representativeness of low-frequency variability.
1	North Atlantic low-frequency changes of volume and
2	heat transports in the ECCO state estimates
3
4	K. Lorbacher, A. Koehl and D. Stammer, SIO
5
6	From a solution of the global ECCO state estimation we
7	diagnose
8	the low-frequency (seasonal to interannual) variability of meridional
9	volume and heat transports between 20N and 60N in the North Atlantic
10	Ocean. The model transports are compared with estimates across the
11	nominal "48N"-section (WOCE/A2) -- reaching from the English Channel
12	to the Grand Banks -- where a coherent hydrographic data set was
13	obtained during seven cruises from 1993 to 2000.
14
15	The standard deviation of the monthly-mean anomalies of the simulated
16	overturning rate at "48N" amounts to 2 Sv and of the heat transport to
17	0.08 PW, respectively; the year-to-year variability is half of those
18	numbers. In contrast to the model simulations, the observed amplitudes
19	lie 50% above the model transport variations on interannual timescale.
20	The percentage of the different components contributing to the total
21	heat transport in the model is consistent with the estimates from the
22	observations: In the time-mean, the baroclinic component of the heat
23	transport contributes 80% to the total integral and the Ekman component
24	10%. However, the latter explains 90% of the diagnosed low-frequency
25	variability. In the observations the baroclinic component is mainly
26	responsible for interannual variations and thereby changes in the sign
27	of the horizontal component appears to be dynamically relevant. From
28	the model output we compute error bars on the observed transport
29	estimates to test their representativeness of low-frequency variability.