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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

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