Assessment of water exchange between a discharge region and the open sea – A comparison of different methodological concepts

Döös, Kristofer; Engqvist, Anders

doi:10.1016/j.ecss.2007.05.022

Cited by 42 publications

(33 citation statements)

References 32 publications

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“…Contrary to the previously mentioned theoretical expectation, Richardson's law has been found to describe spreading properties for small distances fairly well while Lin's law has proven a better fit for larger distances (Döös and Engqvist 2007). A probable reason for this counter-intuitive observation is that the character of spreading is particularly complicated for 2D flows occurring on the surface of 3D flows, which is often the case in strongly stratified environments.…”

Section: Spreading Rates In the Uppermost Layer Of The Gulf Of Finlandcontrasting

confidence: 43%

“…Thus, for an ideal 2D turbulence with a single energy input scale λ, Lin's law is expected to be valid for scales below λ whereas Richardson's law is related to large-scale circulation (Salazar and Collins 2009). Both these flow regimes have been observed using observed and simulated drifters in the open ocean (Ollitrault et al 2005) and in the Baltic Sea for different scales (Döös and Engqvist 2007).…”

Section: Spreading Rates In the Uppermost Layer Of The Gulf Of Finlandmentioning

confidence: 91%

“…As the filter did little change to the relative dispersion for the SVP drifters, it should not markedly influence the results from the GPS/GSM drifters either. Differently from a number of similar studies (Ollitrault et al 2005;Döös and Engqvist 2007;Lumpkin and Elipot 2010) the experiments performed in the western and central part of the Gulf of Finland in August-October 2010 were concentrated on relatively small initial separations of the drifters (∼100 m). The deployments resulted in 7 pairs of drifter trajectories.…”

Section: Spreading Rates In the Uppermost Layer Of The Gulf Of Finlandmentioning

confidence: 99%

“…In another simulation, we employed the turbulence scheme for TRACMASS as introduced in Döös and Engqvist (2007), Döös et al (2011). This scheme added extra velocity to the simulated drifters, but not necessarily in the direction of the modelled advection.…”

Section: Tuning the Trajectoriesmentioning

confidence: 99%

“…The TRACMASS code includes tunable parameterizations of subgrid-scale turbulence and diffusion to imitate subgrid-scale motions (Döös and Engqvist 2007;Döös et al 2011). The turbulence scheme adds a random perturbation to the velocity fields, while the diffusion scheme adds a random perturbation to the position.…”

Section: Simulated Driftersmentioning

confidence: 99%

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Evaluation and Tuning of Model Trajectories and Spreading Rates in the Baltic Sea Using Surface Drifter Observations

Kjellsson

Döös

Soomere

2013

Preventive Methods for Coastal Protection

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Results from experiments with surface drifters in the Baltic Sea in 2010-2011 are presented and discussed. In a first experiment, 12 SVP-B (Surface Velocity Program, with Barometer) drifters with a drogue at 12-18 m depth were deployed in the Baltic Sea. In a second experiment, shallow drifters extending to a depth of 1.5 m were deployed in the Gulf of Finland. Results from the SVP-B drifter experiment are compared to results from a regional ocean model and a trajectory code. Differences between the observed SVP-B drifters and simulated drifters are found for absolute dispersion (i.e., squared displacement from initial position) and relative dispersion (i.e., squared distance between two initially paired drifters). The former is somewhat underestimated since the simulated currents are neither as fast nor as variable as those observed. The latter is underestimated both due to the abovementioned reasons and due to the resolution of the ocean model.For the shallower drifters, spreading in the upper 1-2 m of the Gulf of Finland is investigated. The spreading rate is about 200 m/day for separations <0.5 km, 500 m/day for separations below 1 km and in the range of 0.5-3 km/day for separations in the range of 1-4 km. The spreading rate does not follow Richardson's law. The initial spreading, up to a distance of about d = 100-150 m, is governed by the power law d ∼ t 0.27 whereas for larger separations the distance increases as d ∼ t 2.5 .

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Section: Spreading Rates In the Uppermost Layer Of The Gulf Of Finlandcontrasting

confidence: 43%

Section: Spreading Rates In the Uppermost Layer Of The Gulf Of Finlandmentioning

confidence: 91%

Section: Spreading Rates In the Uppermost Layer Of The Gulf Of Finlandmentioning

confidence: 99%

Section: Tuning the Trajectoriesmentioning

confidence: 99%

Section: Simulated Driftersmentioning

confidence: 99%

See 3 more Smart Citations

Evaluation and Tuning of Model Trajectories and Spreading Rates in the Baltic Sea Using Surface Drifter Observations

Kjellsson

Döös

Soomere

2013

Preventive Methods for Coastal Protection

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Decadal Transition of Moisture Sources and Transport in Northwestern China During Summer From 1982 to 2010

Hua

Zhong

2017

JGR Atmospheres

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The northwestern corner of China (NWCC) experienced a decadal transition in summer precipitation during 1982–2010, with a significant upward trend in 1982–2000 (P1) but a downward one in 2001–2010 (P2). A spatially unbounded dynamic recycling model is developed to estimate the moisture sources and moisture transport variations based on ERA‐Interim data. The results suggest that more than 88% of NWCC precipitation has external moisture origins in the southwest and northwest terrestrial areas. The increasing precipitation trend during P1 can be explained by the increasing moisture contribution from the southwest and decreasing contribution from the northwest. However, the opposite trends cause the decreasing precipitation trend during P2. In general, the decadal precipitation transition is mainly determined by the variation of short‐distance moisture transport from central Asia, although opposite moisture transport variations exist in the Ural Mountains and Northeast Europe. The variation of the precipitation trend is closely associated with a well‐organized wave train propagation from the North Atlantic to central Asia. During P1, the wave train structure consists of a titled positive phase North Atlantic Oscillation (NAO), an anticyclonic circulation over Europe, and a cyclonic anomaly over central Asia, which promotes the southwest moisture flux to NWCC. But the opposite circulation pattern dominates P2. The energy dispersion due to the breakdown of the NAO determines the phase and strength of the downstream wave anomalies over Eurasia. This suggests that the summer NAO might influence the decadal variation of NWCC precipitation through the decadal modulation of the Eurasia wave train.

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Applications of the Inverse Problem of Pollution Propagation

Soomere

2013

Preventive Methods for Coastal Protection

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Assessment of water exchange between a discharge region and the open sea – A comparison of different methodological concepts

Cited by 42 publications

References 32 publications

Evaluation and Tuning of Model Trajectories and Spreading Rates in the Baltic Sea Using Surface Drifter Observations

Evaluation and Tuning of Model Trajectories and Spreading Rates in the Baltic Sea Using Surface Drifter Observations

Decadal Transition of Moisture Sources and Transport in Northwestern China During Summer From 1982 to 2010

Applications of the Inverse Problem of Pollution Propagation

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