
The shape of fair weather clouds
Simple descriptions of complex systems are rare. The key is to ask the
right question. For the cloud, it is the shape. Clouds have bumps.
Thermal plumes have humps. Clouds are formed by convection currents,
which also give rise to plumes. Can we understand the shape of clouds in
terms of thermal plumes ?
This simple model achieves that, starting from a simple description of
the plumes in terms of mathematical singularities (sources and sinks).
The cloud is a collection of droplets, advected by the (random) flow
field created by randomly generated plumes. Each time a plume goes
through the cloud, it leaves behind a hump in the spatial distribution
of droplets. This process dynamically generates the characteristic
“cauliflower” shape of cumulus (“fair weather”) clouds.
What’s important about this work is that it describes (quantitatively)
one specific aspect (the shape) of a complex system (the cloud) in terms
of the coherent structures in the system (the thermal plumes). Usually
one cannot do this with complex non-linear systems. In this case, this
procedure gives a simple description of a complex everyday phenomenon.
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LF12638
Designing supermarket checkouts? Ask purple bacteria
Getting customers through the door, processed, and out again as
efficiently as possible, is a primary goal for large supermarkets and
fast-food chains. But managers constantly face the major dilemma of
how many checkout lanes to have. Too many, and you leave employees
unoccupied while also sacrificing valuable floor space. Too few, and
you run the risk of large lane queues and hence losing customers. But
instead of adopting the latest market consulting fad, a new paper in
suggests taking the advice of some of the oldest
and most primitive life forms on the planet: Purple bacteria. For the
past billion years, purple bacteria -- which are all around us, from
the side of rivers to the colorful corals under the sea -- have been
solving this problem by adapting the number and arrangements of their
'checkouts' according to the flux of 'customers'. Photons from the sun
create excitations which enter the bacterial membrane like customers
through a door, wander through the nanoscale aisles (represented by
the LH2 quasi-ordered lattice) and then arrive at the nanoscale
checkouts (LH1 complex) before leaving the store (membrane) as a food
supply. Analytic theory, backed up by numerical
simulations, includes a key biological feature whose analog is well-
known to any shopper who has been stuck in a checkout lane: Each
customer (i.e. photon excitation) passing through a particular
checkout (i.e. LH1) leaves this checkout blocked for a finite time as
the bagging takes place (i.e. chemical reaction in the LH1 reaction
center). The theory shows that the interplay between
having many active checkouts (i.e. LH1s) but few lost customers (i.e.
dissipated excitations) explains why very different arrangements of
checkouts emerge under conditions of high light intensity (i.e. a high
flux of photon 'customers' arriving at the LH1 'checkouts' all the
time) and low light intensity (i.e. relatively few photon
'customers'). They are currently using their theory to fine-tune
Nature's own architectures in the hope of uncovering some super-
efficient designs for harvesting the free, renewable energy from
sunlight. So the next time your local store introduces some novel
checkout layout which manages to reduce overall checkout times, just
remember that a bacteria may have found it first -- nearly one billion
years ago.
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