Pollution is warming the atmosphere through summer thunderstorm clouds, according to a computational study published May 10 in Geophysical Research Letters.
How much the warming effect of these clouds offsets the cooling that
other clouds provide is not yet clear. To find out, researchers need to
incorporate this new-found warming into global climate models.
Pollution strengthens thunderstorm clouds, causing their anvil-shaped
tops to spread out high in the atmosphere and capture heat --
especially at night, said lead author and climate researcher Jiwen Fan
of the Department of Energy's Pacific Northwest National Laboratory.
"Global climate models don't see this effect because thunderstorm
clouds simulated in those models do not include enough detail," said
Fan. "The large amount of heat trapped by the pollution-enhanced clouds
could potentially impact regional circulation and modify weather
systems."
Clouds are one of the most poorly understood components of Earth's
climate system.
Called deep convective clouds, thunderstorm clouds
reflect a lot of the sun's energy back into space, trap heat that rises
from the surface, and return evaporated water back to the surface as
rain, making them an important part of the climate cycle.
To more realistically model clouds on a small scale, such as in this
study, researchers use the physics of temperature, water, gases and
aerosols -- tiny particles in the air such as pollution, salt or dust on
which cloud droplets form.
In large-scale models that look at regions or the entire globe,
researchers substitute a stand-in called a parameterization to account
for deep convective clouds. The size of the grid in global models can be
a hundred times bigger than an actual thunderhead, making a substitute
necessary.
However, thunderheads are complicated, dynamic clouds. Coming up with
an accurate parameterization is important but has been difficult due to
their dynamic nature.
Inside a thunderstorm cloud, warm air rises in updrafts, pushing tiny
aerosols from pollution or other particles upwards. Higher up, water
vapor cools and condenses onto the aerosols to form droplets, building
the cloud. At the same time, cold air falls, creating a convective
cycle. Generally, the top of the cloud spreads out like an anvil.
Previous work showed that when it's not too windy, pollution leads to
bigger clouds. This occurs because more pollution particles divide up
the available water for droplets, leading to a higher number of smaller
droplets that are too small to rain. Instead of raining, the small
droplets ride the updrafts higher, where they freeze and absorb more
water vapor.
Collectively, these events lead to bigger, more vigorous
convective clouds that live longer.
Now, researchers from PNNL, Hebrew University in Jerusalem and the
University of Maryland took to high-performance computing to study the
invigoration effect on a regional scale.
To find out which factors contribute the most to the invigoration,
Fan and colleagues set up computer simulations for two different types
of storm systems: warm summer thunderstorms in southeastern China and
cool, windy frontal systems on the Great Plains of Oklahoma. The data
used for the study was collected by different DOE Atmospheric Radiation
Measurement facilities.
The simulations had a resolution that was high enough to allow the
team to see the clouds develop. The researchers then varied conditions
such as wind speed and air pollution.
Fan and colleagues found that for the warm summer thunderstorms,
pollution led to stronger storms with larger anvils. Compared to the
cloud anvils that developed in clean air, the larger anvils both warmed
more -- by trapping more heat -- and cooled more -- by reflecting
additional sunlight back to space. On average, however, the warming
effect dominated.
The springtime frontal clouds did not have a similarly significant
warming effect. Also, increasing the wind speed in the summer clouds
dampened the invigoration by aerosols and led to less warming.
This is the first time researchers showed that pollution increased
warming by enlarging thunderstorm clouds. The warming was surprisingly
strong at the top of the atmosphere during the day when the storms
occurred. The pollution-enhanced anvils also trapped more heat at night,
leading to warmer nights.
"Those numbers for the warming are very big," said Fan, "but they are
calculated only for the exact day when the thunderstorms occur. Over a
longer time-scale such as a month or a season, the average amount of
warming would be less because those clouds would not appear everyday."
Next, the researchers will look into these effects on longer time
scales. They will also try to incorporate the invigoration effect in
global climate models.
The research was supported by the U.S. Department of Energy Office of
Science. The data from China were gathered under a bilateral agreement
with the China Ministry of Sciences and Technology.
Here we see a simulation of a thunderstorm, which develops from a small
thermal (i.e., a local patch of relatively warm air) in an unstable
atmosphere. As the warm and humid patch of air rises, it expands and
cools, water vapor condenses releasing heat, which make the bubble even
more buoyant. The rising patch of air draws surrounding air upward,
which also becomes ever more buoyant. This runaway cycle drives the
thunderstorm. Initial wind speed and direction varies with altitude in a
fairly realistic way, which gives the resulting storm its classic anvil
shape. Two movies are played in succession: the 1st shows cloud+ice
water, which is what you typically see in such a cloud; the 2nd is the
magnitude of vorticity, which shows wind shear, turbulence, and
tornadoes. Notice how the rising thermal draws up ground wind shear, and
how the storm splits into two counter-rotating pieces.
This simulation was performed by the Woodward research group (Dept. of Astronomy, U. of Minnesota), using the NCOMMAS thunder storm code originally developed by Louis Wicker at the National Oceanic and Atmospheric Administration's National Severe Storms Laboratory in Norman, Okla.. The code was adapted to run in parallel by the Woodward team. This movie was produced with Hierarchical Volume Rendering (HVR) software (www.lcse.umn.edu/hvr) run on a PC rendering cluster in the Laboratory for Computational Science and Engineering (LCSE) at the U. of Minnesota.
This simulation was performed by the Woodward research group (Dept. of Astronomy, U. of Minnesota), using the NCOMMAS thunder storm code originally developed by Louis Wicker at the National Oceanic and Atmospheric Administration's National Severe Storms Laboratory in Norman, Okla.. The code was adapted to run in parallel by the Woodward team. This movie was produced with Hierarchical Volume Rendering (HVR) software (www.lcse.umn.edu/hvr) run on a PC rendering cluster in the Laboratory for Computational Science and Engineering (LCSE) at the U. of Minnesota.
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