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Dive into the research topics where Joakim Kjellsson is active.

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Featured researches published by Joakim Kjellsson.


Science | 2015

Constrained work output of the moist atmospheric heat engine in a warming climate

Frédéric Laliberté; Jan D. Zika; Lawrence Mudryk; Paul J. Kushner; Joakim Kjellsson; Kristofer Döös

Because the rain falls and the wind blows Global warming is expected to intensify the hydrological cycle, but it might also make the atmosphere less energetic. Laliberté et al. modeled the atmosphere as a classical heat engine in order to evaluate how much energy it contains and how much work it can do (see the Perspective by Pauluis). They then used a global climate model to project how that might change as climate warms. Although the hydrological cycle may increase in intensity, it does so at the expense of its ability to do work, such as powering large-scale atmospheric circulation or fueling more very intense storms. Science, this issue p. 540; see also p. 475 A more intense hydrological cycle in a warmer world might make atmospheric circulation less energetic. [Also see Perspective by Pauluis] Incoming and outgoing solar radiation couple with heat exchange at Earth’s surface to drive weather patterns that redistribute heat and moisture around the globe, creating an atmospheric heat engine. Here, we investigate the engine’s work output using thermodynamic diagrams computed from reanalyzed observations and from a climate model simulation with anthropogenic forcing. We show that the work output is always less than that of an equivalent Carnot cycle and that it is constrained by the power necessary to maintain the hydrological cycle. In the climate simulation, the hydrological cycle increases more rapidly than the equivalent Carnot cycle. We conclude that the intensification of the hydrological cycle in warmer climates might limit the heat engine’s ability to generate work.


Archive | 2013

TRACMASS—A Lagrangian Trajectory Model

Kristofer Döös; Joakim Kjellsson; Bror Jönsson

A detailed description of the Lagrangian trajectory model TRACMASS is presented. The theory behind the original scheme for steady state velocities is derived for rectangular and curvilinear grids with different vertical coordinates for the oceanic and atmospheric circulation models. Two different ways to integrate the trajectories in time in TRACMASS are presented. These different time schemes are compared by simulating inertial oscillations, which show that both schemes are sufficiently accurate not to deviate from the analytical solution.


Journal of the Atmospheric Sciences | 2014

The Atmospheric General Circulation in Thermodynamical Coordinates

Joakim Kjellsson; Kristofer Döös; Frédéric Laliberté; Jan D. Zika

The zonal and meridional components of the atmospheric general circulation are used to define a global thermodynamic stream function in dry static energy versus latent heat coordinates. Diabatic mo ...


Geophysical Research Letters | 2012

Lagrangian decomposition of the Hadley and Ferrel cells

Joakim Kjellsson; Kristofer Döös

The meridional overturning circulation of the atmosphere between 45°S and 45°N is decomposed using simulated 3D Lagrangian trajectories for calculating the Lagrangian overturning streamfunctions. T ...


Archive | 2013

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

Joakim Kjellsson; Kristofer Döös; Tarmo Soomere

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 above-mentioned reasons and due to the resolution of the ocean model.


Journal of Climate | 2017

The Coupled Ocean–Atmosphere Hydrothermohaline Circulation

Kristofer Döös; Joakim Kjellsson; Jan D. Zika; Frédéric Laliberté; Laurent Brodeau; Aitor Aldama Campino

AbstractThe thermohaline circulation of the ocean is compared to the hydrothermal circulation of the atmosphere. The oceanic thermohaline circulation is expressed in potential temperature–absolute salinity space and comprises a tropical cell, a conveyor belt cell, and a polar cell, whereas the atmospheric hydrothermal circulation is expressed in potential temperature–specific humidity space and unifies the tropical Hadley and Walker cells as well as the midlatitude eddies into a single, global circulation. The oceanic thermohaline streamfunction makes it possible to analyze and quantify the entire World Ocean conversion rate between cold–warm and fresh–saline waters in one single representation. Its atmospheric analog, the hydrothermal streamfunction, instead captures the conversion rate between cold–warm and dry–humid air in one single representation. It is shown that the ocean thermohaline and the atmospheric hydrothermal cells are connected by the exchange of heat and freshwater through the sea surface...


Ocean Modelling | 2015

Model sensitivity of the Weddell and Ross seas, Antarctica, to vertical mixing and freshwater forcing

Joakim Kjellsson; Paul R. Holland; Gareth J. Marshall; Pierre Mathiot; Yevgeny Aksenov; Andrew C. Coward; Sheldon Bacon; A.P. Megann; Jeff Ridley


Boreal Environment Research | 2012

Surface drifters and model trajectories in the Baltic sea

Joakim Kjellsson; Kristofer Döös


Climate Dynamics | 2015

Weakening of the global atmospheric circulation with global warming

Joakim Kjellsson


Archive | 2015

TRACMASS: Lagrangian trajectory code

Bror Jönsson; Joakim Kjellsson; Kristofer Döös

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Jan D. Zika

University of New South Wales

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Gareth J. Marshall

Natural Environment Research Council

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