A Lagrangian-trajectory study of a gradually mixed ... - Kristofer Döös
A Lagrangian-trajectory study of a gradually mixed ... - Kristofer Döös
A Lagrangian-trajectory study of a gradually mixed ... - Kristofer Döös
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B.F. Jönsson et al. / Continental Shelf Research 31 (2011) 1811–1817 1813<br />
eddies <strong>of</strong> importance for the dynamics <strong>of</strong> the Baltic. For the present<br />
investigation with focus on the north-eastern Baltic, the remotely<br />
applied boundary conditions at the border to the North Sea do not<br />
give rise to any spurious effects. Given 0.21 0.21 gridded standard<br />
meteorological forcing (sea-level pressure, geostrophic 10 m wind<br />
components, 2 m air temperature and relative humidity, precipitation,<br />
and cloud cover) provided by the Swedish Meteorological and<br />
Hydrological Institute (SMHI) at 3-hour intervals, the circulation<br />
model yields the evolution in time <strong>of</strong> the velocity, temperature and<br />
salinity fields. As an example <strong>of</strong> what can be achieved within the<br />
RCO framework, Fig. 2 also includes a long-term average <strong>of</strong> the<br />
modeled salinity along the central axis <strong>of</strong> the Gulf <strong>of</strong> Finland. The<br />
two data sets show a high degree <strong>of</strong> resemblance to one another,<br />
with the exception <strong>of</strong> a more pronounced Neva-river plume in the<br />
observations. This discrepancy indicates that the RCO model may<br />
have too large a diffusion (which in turn affects the distribution<br />
<strong>of</strong> tracers).<br />
In the present <strong>study</strong>, a <strong>trajectory</strong> scheme based on results due<br />
to Döös (1995) as well as Blanke and Raynaud (1997) was used to<br />
compute <strong>Lagrangian</strong> paths from the three-dimensional velocity<br />
fields in the Gulf <strong>of</strong> Finland provided by the RCO model. The<br />
<strong>trajectory</strong> algorithm is based on analytical calculations using a<br />
prescribed velocity field which is five-fold more highly resolved in<br />
time than the circulation-model data, from which it is generated<br />
by linear interpolation. This permits analyses <strong>of</strong> the water-parcel<br />
motion over smaller scales than the model grid by interpolation<br />
<strong>of</strong> the zonal, meridional, and vertical velocities defined in the<br />
corners <strong>of</strong> the grid cell.<br />
It should be noted that true <strong>Lagrangian</strong> trajectories are<br />
only affected indirectly by the sub-grid parameterisation <strong>of</strong><br />
viscosity and diffusion implemented within the circulation model.<br />
(An alternative method <strong>of</strong> water-mass analysis is based on the<br />
tracer equation, which includes diffusion in contrast to what is<br />
the case for true <strong>Lagrangian</strong> trajectories. However, this diffusion is<br />
not only physical, but also numerical due to, e.g. finite-difference<br />
truncation error.) Following Döös and Engqvist (2007), sub-grid<br />
turbulence affecting the trajectories has thus been parameterized<br />
by adding a random turbulent velocity at each ‘‘high-resolution’’<br />
time step, this in order to include a measure <strong>of</strong> turbulent diffusion<br />
in the analysis <strong>of</strong> the present <strong>study</strong>.<br />
It should furthermore be underlined that the <strong>trajectory</strong> calculations<br />
can be run in an autonomous fashion with regard to the<br />
circulation model, i.e. <strong>of</strong>f-line. This makes it possible to carry<br />
through the analysis without having to take recourse to excessive<br />
computer resources.<br />
Convection has not been taken into account in the present<br />
<strong>study</strong>, but the effects <strong>of</strong> this process have been examined in the<br />
course <strong>of</strong> a previous investigation (Döös, 1995) by assigning a<br />
water parcel a random depth whenever it enters a convectively<br />
unstable water column. (Like the velocities used to calculate the<br />
trajectories, these convective events also originate from the<br />
circulation model.) This <strong>study</strong> showed, however, that the effects<br />
<strong>of</strong> convection did not affect the results to any significant degree.<br />
To examine the behavior <strong>of</strong> the system, all water parcels<br />
entering the Gulf <strong>of</strong> Finland from the Baltic and the river Neva<br />
were ‘‘tagged’’ with the aim <strong>of</strong> determining the origin <strong>of</strong> the water<br />
masses characterizing the system in ‘‘steady state’’. This refers to<br />
when the number <strong>of</strong> water parcels released into the system equals<br />
that exiting and when a ‘‘saturated’’ ratio between the number <strong>of</strong><br />
trajectories originating from the two sources is established over a<br />
meridional transect half-way into the Gulf. These criteria were<br />
found to be amply satisfied for numerical experiments <strong>of</strong> an<br />
approximately 5000-day duration, well above the estimated turnover<br />
time <strong>of</strong> the system (Andrejev et al., 2004b) being 1–2 years.<br />
Every 6 h trajectories were seeded over the exit from the<br />
river Neva as well as over the entire breadth and depth <strong>of</strong> the<br />
Hanko–Hiumaa transect delimiting the Gulf <strong>of</strong> Finland from the<br />
Baltic proper. Each <strong>trajectory</strong> was specified as representing a<br />
volume flux <strong>of</strong> 100 m 3 s 1 , which, based on a transport <strong>of</strong><br />
7–8000 m 3 s 1 entering the Gulf, yielded a sufficient number <strong>of</strong><br />
trajectories, in this case around 80 each 6th hour. The sensitivity<br />
was tested by stepwise increasing the volume flux associated<br />
with each <strong>trajectory</strong>, corresponding to a decrease <strong>of</strong> the <strong>trajectory</strong><br />
‘‘density’’. The threshold when a further decrease <strong>of</strong> this density<br />
had a degrading effect on the outcome was found to be around 50,<br />
i.e. considerably below the value <strong>of</strong> 80 trajectories ‘‘seeded’’ every<br />
6 h during our numerical simulations.<br />
All trajectories leaving the system were removed from the<br />
model run at a meridional transect located 5 grid-points west <strong>of</strong><br />
the Baltic Proper boundary where source water originally was<br />
tagged (cf. Fig. 1). The rationale behind this procedure was to<br />
reduce the computational costs and to, as far as possible, prevent<br />
trajectories from recirculating, which would have entailed the<br />
risk <strong>of</strong> multiple tagging <strong>of</strong> water parcels. When the <strong>trajectory</strong><br />
integrations had attained a steady state in the sense described<br />
above, the results were analyzed using techniques to be outlined<br />
in what follows.<br />
3. Mixing and water mass composition<br />
Before proceeding with a discussion <strong>of</strong> the overall results from<br />
the numerical experiments, we examine some specific features in<br />
order to judge whether the model can be regarded as performing<br />
in an adequate fashion. The underlying rationale is that even if a<br />
circulation model yields more-or-less correct overall results,<br />
considerable local irregularities may arise, in particular adjacent<br />
to the boundaries <strong>of</strong> the system. In the larger Baltic perspective,<br />
the Gulf <strong>of</strong> Finland can be looked upon as a marginal area, and<br />
thus the modelers in the course <strong>of</strong> developing the RCO formalism<br />
did not focus specifically on this region, even though the discharge<br />
from the river Neva potentially could create anomalies<br />
here. The model results were thus verified by collating the timeaveraged<br />
RCO-generated velocity fields with the results from<br />
earlier studies. One interesting area for comparisons <strong>of</strong> this type<br />
is located close to Moshnyi Island in the inner part <strong>of</strong> the Gulf,<br />
where Andrejev et al. (2004b) reported exceptionally long residence<br />
times <strong>of</strong> the water. This state <strong>of</strong> affairs also manifests itself<br />
in the present circulation-model results, assuming the form <strong>of</strong> a<br />
prevalence <strong>of</strong> stable, highly persistent eddies in the area. In<br />
general, the time-averaged RCO velocity fields employed for<br />
calculating the trajectories proved to be in agreement with<br />
well-known transport patterns (Palmén, 1930) characterizing<br />
the Gulf <strong>of</strong> Finland. Thus high-saline water from the Baltic Proper<br />
enters the Gulf as a deep boundary current adjacent to the<br />
Estonian coast, whereas transports associated with the river Neva<br />
discharge tends to take place on the Finnish side <strong>of</strong> the Gulf.<br />
Once each experiment had been concluded, analysis <strong>of</strong> the<br />
<strong>trajectory</strong> behavior was undertaken by calculating a mixing ratio<br />
R defined as the number <strong>of</strong> trajectories from Neva divided by the<br />
total number <strong>of</strong> trajectories within each grid-box. This was done<br />
for each cell in the Gulf <strong>of</strong> Finland modeling domain, the value<br />
R¼1 representing a situation where all water originated from the<br />
river Neva, the value R¼0 indicating the presence <strong>of</strong> only Baltic<br />
water. To investigate the relative water-mass composition along<br />
the main axis <strong>of</strong> the Gulf <strong>of</strong> Finland, this distribution was<br />
averaged across the Gulf. By also carrying through a vertical<br />
integration, it proved feasible to construct a Hovmøller diagram<br />
representing the evolution <strong>of</strong> this water-mass distribution along a<br />
section in the Gulf <strong>of</strong> Finland as a function <strong>of</strong> time, cf. Fig. 3. From<br />
this diagram it can be concluded that a saturated ratio between<br />
the number <strong>of</strong> trajectories originating from the two sources was