Accounting
for Deviations from Perfect Spatialn Randomness in Coagulation and Collisional
Growth
Basic Background
It is
common knowledge that the water vapor present in the atmosphere sometimes ends
up forming into preciptation that falls to the ground. Although your middle school teachers
probably emphasized the water cycle as a whole, the process between “water
vapor evaporates from the water surface” to “rain falls from the
sky” is usually left a bit hazy.
Generally , you have some idea that clouds are involved, but often that’s
about it for understanding the process.
Well, atmospheric
scientists have a little better grasp on the problem than that – though we
still don’t completely understand everything
that’s going on.
After
water evaporates from the water’s surface, we now have some water vapor
immediately above the water’s surface. We have winds in the atmosphere and
water molecules don’t have a whole lot of inertia, so wherever the winds
above the surface of the water go, the airborne water molecules tend to get
swept along with it. A lot of this
water stays near the surface of the earth, but some makes its way a little
higher up in the atmosphere.
Why? Well, the air layer
near the surface of the earth tends to be a little warmer than the layer above
it, thus causing buoyancy (hot air rises) and bringing the water vapor with it.
Now,
the reason that the amount of water vapor evaporated into the atmosphere was
that amount and not less or more was governed by the equilibrium thermodynamics
over the water’s surface. The
details are, for my purposes here, not that important but the main point is
that as the air (with the water vapor coming along for the ride) rises in the
atmosphere, its temperature decreases changing the equilibrium and eventually “saturating”
the air.
Once
the air is saturated or supersaturated, the water vapor has a tendency to leave
the vapor phase and condense back on a solid. This vapor is now up in the atmosphere –
the only solids it finds are dust/dirt/smog – collectively, we call these
things aerosol particles in the business.
Some aerosol particles are hydrophobic and won’t be good sources
for the water to condense on. Many,
however, form good cites for water drops to form. When the water vapor condenses on the aerosol
particle, we get a cloud droplet.
Now,
water can continue to condense on water droplets as well as dry
particulates. This is what we call
condensational growth and is part of the process of getting precipitation. The theory governing this process is
fairly well understood, but beyond the scope of this discussion. (For the interested, see Kohler theory
in an atmospheric microphysics textbook or talk to Dr. Larsen directly).
Condensational
growth will only get you so far.
The bigger the drop gets, the more vaper it takes to make it bigger
yet. (Volume is proportional to the
cube of the diameter, so it takes a lot
of water vapor to get to a large enough water drop to form into rain. At some point (in the neighborhood of a
few tens of microns in diameter), a larger fraction of the droplet growth is
due to the collision/coalescence process than through condensational growth.
The
collision/coalescence process sounds fancy, but it is just the process of
smaller droplets smashing into each other to form a larger drop. This happens naturally in clouds and is
the main way of turning a cloud drop into a raindrop. After going through many collisions,
eventually some cloud droplets becomes large enough that the gravitational
force is larger than the updrafts keeping the cloud in the air. Then we get rain.
DISCLAIMER
– Don’t view the above as an exhaustive introduction. There is GROSS simplification involved,
and in some places I even lied to you a little. This is just to give you a slightly more
complete version than you typically get in middle school water cycle
explanations.
So what’s the Problem?
You know how I keep mentioning that
airborne particulates are not perfectly random? Well, that happens here, too. The theoretical relationship that
calculates the rate of small droplets colliding into each other to form larger
droplets assumes the drops are
perfectly randomly distributed in space.
If you follow the above link to perfectly random and look at the
picture, it isn’t hard to convince yourself that those two systems will
evolved differently as particles collide into each other.
This has analogues to
pair-production in biological applications; if particle clump, then the average
particle will undergo more collisions per unit time than in a perfectly random
distribution. That means the rate
of particle growth may be underestimated using the current theoretical
treatment.
This is good, because we observe
rain forming out of a cloud faster than we think it should be possible. The fact that our theoretical
predictions are based on false assumptions regarding particle distributions may
be part of the reason for our confusion.
What is Dr. Larsen doing to try and Solve the Problem?
If we are able to quantify how much cloud particles depart from perfect
spatial randomness, then that helps us quantify the amount of error we
currently have in assuming the collisions occur in a perfectly random environment. In principle, we may even be able to
geometrically simulate the process with a computational tool called “direct
numerical simulation” or DNS, but first we have to know the statistical
description of the droplets as they are at some point in time in the
cloud. Dr. Larsen is working on
this and associated problems with the generation of precipitation.
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