clouds - colorado state university...14 clouds, or as liquid phase clouds if all portions of a cloud...
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1
Chapter 1 2
Clouds 3
Clouds are pictures in the sky 4
They stir the soul, they please the eye 5
They bless the thirsty earth with rain, 6
which nurtures life from cell to brain— 7
But no! They’re demons, dark and dire, 8
hurling hail, wind, flood, and fire 9
Killing, scarring, cruel masters 10
Of destruction and disasters 11
Clouds have such diversity— 12
Now blessed, now cursed, 13
the best, the worst 14
But where would life without them be? 15
Vollie Cotton 16
1.1. INTRODUCTION 1718
Since the late 1940s, when the experiments by Langmuir (1948) and Schaefer 19
(1948) suggested that seeding of certain types of clouds could release additional 20
precipitation, there has been intensive investigation into the physics of clouds. 21
The major focus of these studies has been on the microphysical processes 22
involved in cloud formation and the production of precipitation. As the studies 23
have unraveled much about the detailed microphysics of clouds, it has become 24
increasingly apparent that these processes are affected greatly by macroscale 25
dynamics and thermodynamics of the cloud systems. We have also learned to 26
appreciate that the microphysical processes can alter the macroscale dynamic 27
and thermodynamic structure of clouds. Thus, while the focus of this book is 28
on the dynamics of clouds, we cannot neglect cloud microphysical phenomena. 29
The title of this book implies a perspective from which we view the cloud or 30
cloud system as a whole. From this perspective, cloud microphysical processes 31
can be seen as a swarm or ensemble of particles that contribute collectively, and 32
in an integrated way, to the macroscale dynamics and thermodynamics of the 33
cloud. 34
We take a similar perspective of small-scale air motions in clouds. Again, 35
we will not use our highest power magnifying lens to view the smallest scale 36
motions or turbulent eddies in clouds. We will instead examine the collective 37
1
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2 CHAPTER 1 Clouds
behavior or statistical contributions of the smallest cloud eddies (i.e. those less1
than a few hundred meters or so) to the energetics of clouds and to transport2
processes in clouds.3
Following the same analogy, we view the meso-β-scale and meso-α-scale4
with a wide-angle lens, thus encompassing their contributions to the energetics5
and transport processes of a particular cloud as well as to neighboring clouds6
or cloud systems. The meso-β-scale and meso-α-scale can, for the most part,7
be considered the environment of the cloud scale that is generally the meso-γ -8
scale.9
1.2. THE CLASSIFICATION OF CLOUDS1011
Cloud types are generally defined according to the phases of water present and12
the temperature of cloud top [AMS Glossary]. Clouds are referred to as warm13
clouds, or as liquid phase clouds if all portions of a cloud have temperatures14
greater than 0 ◦C. For clouds extending above the 0 ◦C level, precipitation15
formation can be either by ice phase or droplet coalescence processes. Clouds16
consisting entirely of ice crystals are called ice-crystal clouds. Analogously,17
a cloud composed entirely of liquid water drops is called a water cloud and18
a mixed-phase cloud contains both water drops (supercooled at temperatures19
below 0 ◦C) and ice crystals, without regard to their actual spatial distributions20
(coexisting or not) within the cloud. Convective clouds extending into air21
colder than about −10 ◦C are generally mixed clouds. Supercooled droplets22
may coexist with ice particles until temperatures are cold enough to support23
homogeneous freezing or below about −40 ◦C.24
Since this text emphasizes the dynamics of clouds, it would seem25
appropriate that we adopt a classification of clouds that is based on the26
“dynamic” characteristics of clouds rather than on the physical appearance of27
clouds from the perspective of a ground observer. In fact, several scientists28
(Scorer, 1963; Howell, 1951; Scorer and Wexler, 1967) have attempted to29
design such a classification scheme based on cloud motions. However, since30
we wish to label the various cloud forms for later discussion, we shall generally31
adhere to the classifications given in the “International Cloud Atlas” (World32
Meteorological Society, 1956). This classification is based on ten main groups33
called genera, and most of the genera are subdivided into species. Each34
subdivision is based on the shape of the clouds or their internal structure.35
The species is sometimes further divided into varieties, which define special36
characteristics of the clouds related to their transparency and the arrangements37
of the macroscopic cloud elements.38
The definitions of the ten genera are as follows:39
Cirrus—Detached clouds in the form of white, delicate filaments or white or40
mostly white patches or narrow bands. These clouds have a fibrous (hairlike)41
appearance, or a silky sheen, or both.42
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Chapter 1 Clouds 3
Cirrocumulus—Thin, white patches, sheets, or layers of cloud without 1
shading, composed of very small elements in the form of grains or ripples, 2
merged or separate, and more or less regularly arranged; most of the elements 3
have an apparent width of less than 1◦. 4
Cirrostratus—Transparent, whitish cloud veil of fibrous or smooth 5
appearance, totally or partially covering the sky, and generally producing 6
halo phenomena. 7
Altocumulus—White or grey, or both white and grey, patches, sheets, or 8
layers of cloud, generally with shading, composed of laminae, rounded 9
masses, or rolls, which are sometimes partially fibrous or diffuse and which 10
may or may not be merged; most of the regularly arranged small elements 11
usually have an apparent width of 1◦-5◦. 12
Altostratus—Greyish or bluish cloud sheet or layer of striated, fibrous, or 13
uniform appearance, totally or partially covering the sky, and having parts 14
thin enough to reveal the sun at least dimly, as through ground glass. 15
Altostratus does not produce halos. 16
Nimbostratus—Grey cloud layer, often dark, the appearance of which is 17
rendered diffuse by more or less continuously falling rain or snow, which 18
in most cases reaches the ground. It is thick enough to completely obscure 19
the sun. Low, ragged clouds frequently occur below the nimbostratus layer. 20
Stratocumulus—Grey or whitish, or both grey and whitish, patches, sheets, 21
or layers of cloud which almost always have dark parts, composed of 22
crenellations, rounded masses, or rolls, which are nonfibrous (except when 23
virga-inclined trails of precipitation-are present) and which may or may not 24
be merged; most of the regularly arranged small elements have an apparent 25
width of more than 5◦. 26
Stratus—Generally grey clouds with a fairly uniform base, which may 27
produce drizzle, ice prisms, or snow grains. If the sun is visible through the 28
cloud, its outline is clearly discernible. Stratus clouds do not produce halo 29
phenomena except, possibly, at very low temperatures. Sometimes stratus 30
clouds appear in the form of ragged patches. 31
Cumulus—Detached clouds, generally dense and with sharp outlines 32
developing vertically in the form of rising mounds, domes, or towers, of 33
which the bulging upper part often resembles a cauliflower. The sunlit parts 34
of these clouds are mostly brilliant white; their base is relatively dark and 35
nearly horizontal. Sometimes cumulus clouds are ragged. 36
Cumulonimbus—Heavy, dense clouds, with a considerable vertical extent, in 37
the form of a mountain or huge tower. At least part of their upper portion is 38
usually smooth, fibrous, or striated and is nearly always flattened; this part 39
often spreads out in the shape of an anvil or vast plume. Under the base of 40
these clouds, which is generally very dark, there are frequently low ragged 41
clouds and precipitation, sometimes in the form of virga. 42
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4 CHAPTER 1 Clouds
In general we will not have to refer to the definitions of the clouds species or1
varieties used in the “International Cloud Atlas.” The exceptions mainly concern2
cumulus clouds, which we refer to as follows:3
Cumulus humilis—Cumulus clouds of only a slight vertical extent; they4
generally appear flattened.5
Cumulus mediocris—Cumulus clouds of moderate vertical extent, the tops6
of which show fairly small protuberances.7
Cumulus congestus—Cumulus clouds which exhibit markedly vertical8
development and are often of great vertical extent; their bulging upper part9
frequently resembles a cauliflower. We also may have occasion to refer to the10
following supplementary features and accessories of clouds:11
Mamma—Hanging protuberances, like udders, on the under surface of a12
cloud.13
Virga—Vertical or inclined trails of precipitation (fall streaks) falling from14
the base but reaching the earth’s surface.15
Pileus—An accessory cloud of small horizontal extent, in the form of a cap16
or hood above the top or attached to the upper part of a cumuliform cloud17
which often penetrates it.18
Fog is not treated as a separate cloud genus in the “International Cloud19
Atlas.” Instead it is defined in terms of its microstructure, visibility, and20
proximity to the earth’s surface as follows:21
Fog—Composed of very small water droplets (sometimes ice crystals) in22
suspension in the atmosphere; it reduces the visibility at the earth’s surface23
generally to less than 1000 m. The vertical extent of fog ranges between a24
few meters and several hundred meters.25
We include the discussion of fog in the chapter on stratocumulus clouds,26
since we shall see there is not always a clear distinction between the formative27
mechanisms of a marine stratocumulus cloud whose base is elevated from the28
surface, and a fog which reaches the surface.29
Another cloud form discussed in this text that is not treated in the30
“International Cloud Atlas” as a separate cloud genus is the orographic cloud.31
According to the “Glossary of Meteorology” (Huschke, 1959), an orographic32
cloud is a cloud whose form and extent is determined by the disturbing effects33
of orography upon the passing flow of air. Since orography can also initiate34
convective clouds, we shall often refer to a stable orographic cloud as the35
cloud form typically encountered in the wintertime during periods when the36
atmosphere is stably stratified. The cap cloud is the least complicated form of37
the orographic cloud and refers to a nearly stationary cloud that hovers over an38
isolated peak. The crest cloud is like the cap cloud with the exception that it39
hovers over a mountain ridge. The chinook arch or foehn wall cloud refers to a40
bank or wall of clouds associated with a chinook or foehn wind storm. Finally,41
the lenticular cloud, or lenticularis, is a lens-shaped cloud that forms over, or42
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Chapter 1 Clouds 5
to the lee of, orographic barriers as a result of mountain waves. As the name 1
implies, lenticular clouds generally have a smooth shape with sharp outlines, 2
sometimes vertically-stacked with clear air separating each lenslike element. 3
1.3. CLOUD TIME SCALES, VERTICAL VELOCITIES, AND 4
LIQUID-WATER CONTENTS 56
In this section we examine certain cloud characteristics that have a major 7
controlling influence upon whether or not precipitation processes are important 8
and whether diabatic processes such as condensational heating and radiative 9
transfer dominate the cloud energetics. Because these physical processes affect 10
the dynamics of the cloud, it is important to recognize under what conditions 11
and in which cloud types these processes are important. 12
Saturation vapor pressure decreases when the temperature decreases (the 13
Clausius-Clapeyron relation). Cloud formation occurs when the saturation vapor 14
pressure becomes smaller than the actual partial pressure of the water vapor in 15
the air. The greater the difference, the stronger the forcing for liquid droplets or 16
ice particles to grow by vapor deposition. Clouds generally form when a buoyant 17
parcel of air is lifted (convective ascent) and cooled by adiabatic expansion. 18
As a parcel of air inside a cloud ascends, temperature decreases following a 19
moist adiabatic lapse rate which is slightly less (0.65 C per 100 m) than in 20
clear air adiabatic ascent (1 C per 100 m), because of the latent heat released by 21
condensation. The rate of condensation depends on the temperature and pressure 22
of the cloud. At 900 m and 20 ◦C, for example, it is approximately 2 g kg−123
per km of ascent. Assuming no mixing, the mixing ratio of condensed water at 24
any level above cloud base can be derived as the difference between the water 25
vapor mixing ratio at cloud base and the saturation water vapor mixing ratio 26
at that level. This is referred to as the adiabatic water-mixing ratio. Owing 27
to the mixing processes, the actual condensed water-mixing ratio is generally 28
lower than the adiabatic value. At the cloud base, the condensation of the 29
available water vapor is not instantaneous and the actual water vapor partial 30
pressure is higher than the saturation vapor pressure leading to supersaturation. 31
Supersaturation plays a critical role near cloud base for the activation of cloud 32
condensation nuclei (CCN) and ice nuclei (IN) that initiate cloud droplets or ice 33
crystals. The amount of condensed water content, either liquid or ice, is a key 34
parameter for precipitation formation. Precipitation is most likely to form in the 35
regions of largest condensed mixing ratio, i.e. in the least diluted cloud cells. 36
The macroscopic parameters of clouds that characterize precipitation and 37
diabatic process are (1) cloud time scales, (2) cloud vertical velocities, (3) 38
cloud liquid-water contents, (4) cloud temperature, and (5) cloud turbulence. 39
Time scales are important because precipitation processes are time dependent. 40
Therefore, if the cloud lifetime is too short for the time it takes to form 41
precipitation, the cloud will not precipitate even though other properties, such 42
as liquid-water content, are sufficient to support precipitation. Two time scales 43
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6 CHAPTER 1 Clouds
are critical. One is the cloud lifetime, which we shall label Tc. The other, called1
the parcel lifetime, represents the time it takes a parcel to enter the cloud and2
exit its top or sides. We shall label this time scale as TP.3
Cloud vertical velocities are important because the updrafts control the time4
scale TP and determine the cloud’s ability to suspend precipitation particles. The5
magnitude of vertical velocity also provides an estimate of the wet (saturated)6
adiabatic cooling rate. For example, in the middle troposphere the wet adiabatic7
lapse rate γm is approximately 0.5 ◦C/100 m. Thus the wet adiabatic cooling8
rate CRγ is9
CRγ ' (0.5 ◦C/100 m)×W, (1.1)10
where W is the cloud vertical velocity in meters per second.11
Both the potential for precipitation formation and the cooling rates of clouds12
depend on the liquid-water content (LWC) in a cloud, for two reasons. First,13
the LWC determines the ultimate potential for a cloud to produce precipitation.14
Generally speaking, unless a cloud generates a liquid-water content in excess15
of 0.5 g m−3, it is unlikely to precipitate. Of course, other factors, such as16
aerosol concentrations (see Chapter 4) and whether the cloud is supercooled,17
also control the critical LWC for initiating precipitation. Second, the LWC is18
important because it determines the rates of shortwave or longwave radiational19
heating and cooling.20
Cloud temperature also represents an important parameter in precipitation21
potential. The cloud-base temperature indicates the liquid-water producing22
potential of the cloud. For example, a cloud with a base temperature of +20 ◦C23
has a cloud-base saturation mixing ratio of ∼15 g kg−1, while a cloud with24
a base temperature of +4 ◦C has a cloud-base saturation mixing ratio of only25
5 g kg−1. Thus, if these two clouds have equal depths, the one with the warmer26
cloud base has a much greater potential for producing rainfall. Cloud-top27
temperature is important for similar reasons, because the greater the difference28
between the cloud-base temperature and cloud-top temperature, the greater the29
potential for rainfall. Furthermore, if the cloud-top temperature is below 0 ◦C,30
then ice is possible, which greatly affects precipitation and radiation processes.31
Turbulence, the last consideration in our discussion of macroscopic cloud32
parameters, is important because it mixes properties of the cloud and interacts33
closely with the other parameters. When we speak of “characteristic” time34
scales, vertical velocities, liquid-water contents, and temperatures, the level of35
turbulence determines how representative these “characteristic” scales really36
are. For example, in some convective clouds the average updraft velocity may37
be 1 m s−1, while the standard deviation of the vertical velocity may be as large38
as 3 m s−1. The level of turbulence also affects the precipitation processes, due39
to the formation of higher peak supersaturations and to increased interactions40
among cloud particles of different types and sizes. Turbulence is also likely to41
affect the radiative properties of a cloud. In a turbulent cloud the cloud top is42
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Chapter 1 Clouds 7
likely to be very lumpy, and large fluctuations in liquid water will exist. As 1
a consequence, the cloud-top radiative emittance and absorptance will differ 2
significantly from that found in a more homogeneous cloud. 3
Let us next consider how the characteristics just introduced differ in several 4
cloud forms that we will study in this book. 5
1.3.1. Fog 67
Fog may be considered the least dynamic of clouds. Fogs typically have 8
lifetimes (Tc) of 2 to 6 h. The mean vertical velocity in fog is usually quite 9
small. If we assume a mean updraft of 0.01 m s−1 for a 100-m-deep fog, 10
the time scale for a parcel entering the cloud base and exiting the cloud top 11
would be 12
TP = 100 m/0.01 m s−1= 104 s, (1.2) 13
that is, TP is on the order of 3 h. This represents the time scale in which cloud 14
microphysical processes must operate in order to generate precipitation. 15
However, the liquid-water content in fog typically ranges from 0.05 to 16
0.2 g m−3. Thus, precipitation is unlikely in all but the deepest, wettest, and 17
most maritime fogs, even though the mean vertical velocity might indicate a 18
potential for precipitation. If we use our estimate of W , of 0.01 m s−1, we 19
determine that the cooling rate due to wet adiabatic cooling is of the order of 20
CRγ = (0.5 ◦C/100 m)0.01 m s−1= 5× 10−5 ◦C s−1, (1.3) 21
which is approximately 0.2 ◦C h−1. By comparison, the rate of cooling by 22
longwave radiation flux divergence at the top of the fog can easily range from 1 23
to 4 ◦C h−1. Thus, we see that fogs can be dominated by radiative cooling. 24
The absolute magnitude of turbulence in fogs is usually small, although 25
there have been reports of vertical velocity fluctuations in some valley fogs 26
as large as 1 m s. However, if we consider turbulence in terms of fluctuations 27
from the mean motions, it appears that because both horizontal and vertical 28
mean velocities are typically small in fogs, a fog is dominated by turbulence. 29
Thus, turbulence affects transport and nearly all physical processes in fogs, even 30
though its absolute magnitude is generally small. 31
1.3.2. Stratus and Stratocumulus Clouds 3233
Stratus clouds and stratocumulus clouds do not differ markedly from fogs in 34
terms of time scales, liquid-water contents, or turbulence levels. The lifetimes 35
of stratus and stratocumulus clouds are longer, ranging from 6 to 12 h. As in 36
fog, the time scale for a parcel to enter a stratus having a mean vertical velocity 37
of 0.1 m s−1 and rising through a depth of, say, 1000 m may be 3 h. Typical 38
liquid-water contents in stratus clouds range from 0.05 to 0.25 g m−3, with 39
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8 CHAPTER 1 Clouds
some maxima of over 0.6 g m−3 reported. This combination of time scales and1
liquid-water contents results in precipitation in the deepest, wettest stratus and2
stratocumulus clouds in the form of drizzle.3
Again, assuming vertical velocities of 0.1 m s−1, the wet adiabatic cooling4
rates are of the order of 2 ◦C h−1. Thus, radiation and wet adiabatic cooling5
are approximately equal contributors to the destabilization of stratus and6
stratocumulus clouds.7
The turbulence level in stratus clouds is low in absolute magnitude, just as8
it is in fog. However, since mean vertical velocities are also small, turbulence9
is a significant contributor to vertical transport processes, energetics, and the10
physics of stratus clouds.11
1.3.3. Cumulus (Humilis and Mediocris) Clouds1213
Cumulus clouds whose vertical extent may be 1500 m have a lifetime (Tc) of14
10-30 min, which is shorter than that for the preceding two types of clouds. If15
we consider an average vertical velocity of 3 m s−1, the time scale for a parcel16
to enter the cloud base and exit the cloud top is of the order of17
TP = 1500 m/3 m s−1= 500 s ' 10 min. (1.4)18
The liquid-water content of small cumuli rarely exceeds 1.0 g m−3 and is19
typically approximately 0.3 g m−3. Thus, for such short time scales and low20
liquid-water contents, precipitation is unlikely in all but the most maritime or21
cleanest airmass, wettest cumuli.22
Comparing wet adiabatic cooling rates to cloud-top radiation cooling, we23
estimate24
CRγ ' (0.5 ◦C/100 m)× 3 m s−1= 1.5× 10−2 ◦C s−1
' 50 ◦C h−1, (1.5)25
which is considerably greater than the cloud-top radiation cooling rates for26
clouds of such liquid-water contents (CRIR ∼ 4 ◦C h−1). Thus, wet adiabatic27
cooling dominates radiative effects in such clouds.28
The turbulence levels in small cumuli is relatively moderate, with root-mean-29
square (RMS) velocities ranging from 1 to 3 m s−1. Thus, turbulence plays an30
important role in such clouds.31
1.3.4. Cumulus Congestus Clouds3233
The lifetime of cumulus congestus clouds exceeds that of cumuli, from 20 to34
45 min. However, the transit time TP for a parcel entering the cloud base, rising35
at 10 m s−1, and exiting the cloud top is similar to that of small cumuli, since36
TP = 5000 m/10 m s−1= 500 s ' 10 min. (1.6)37
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Chapter 1 Clouds 9
That is, higher updraft velocities in cumulus congestus clouds offset their 1
greater depth in determining TP. Because of the small TP, precipitation would be 2
unlikely if it were not for the higher liquid-water content of cumulus congestus 3
clouds, which ranges from 0.5 to 2.5 g m−3. Because the turbulence level in such 4
clouds is often quite strong, it is possible for air parcels to spend a considerably 5
longer residence time in the cloud than would be implied by TP. 6
As in the smaller cumuli, radiative effects are secondary to wet adiabatic 7
processes in the energetics of cumulus congestus clouds. 8
1.3.5. Cumulonimbus Clouds 910
Cumulonimbi are the longest living convective clouds. They have lifetimes 11
from 45 min to several hours. However, the time scale for a parcel of air to 12
enter the cloud base and commence forming precipitation before exiting the 13
top remains relatively short. Let us take, as an example, a cumulonimbus cloud 14
that is 12,000 m deep and has an average updraft velocity of 30 m s−1. The 15
Lagrangian time scale is only 16
TP = 12,000 m/30 m s−1= 400 s, (1.7) 17
which is actually less than that in the smaller cumuli. Because of the enormous 18
cooling of air parcels rising through the great depths of the cloud, typical liquid- 19
water contents in cumulonimbi range from 1.5 to 4.5 g m3 and often greater. 20
These high liquid-water contents compensate, to some extent, for the short time 21
scale. The short time scale sometimes limits the formation of precipitation, 22
which accounts for the weak echo regions (WERs) that are often observed by 23
radars. It should be noted that such intense updrafts as those present in WERs 24
are not characteristic of the entire convective storm. Because turbulence levels 25
can be so intense, there is considerable opportunity for air parcels to experience 26
much longer lifetimes than are encountered rising in the main updraft. 27
With the exception of the anvil outflow region of cumulonimbi, wet adiabatic 28
processes dominate over radiative cooling. However, radiative cooling may 29
contribute significantly to the destabilization and maintenance of the weak 30
updraft regions of cumulonimbus anvils. 31
1.3.6. Stable Orographic Clouds 3233
Let us consider now a wintertime stable orographic cloud that is above a 1400- 34
m-high mountain with a half-width of 18 km (Fig. 1.1). For this type of cloud, 35
the cloud lifetime could be many hours or even days. However, the time scale 36
for precipitation processes to operate if the winds are about 15 m s−1 is only 37
TP = 18,000 m/15 m s−1= 1200 s = 20 min. (1.8) 38
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10 CHAPTER 1 Clouds
15 m s–1
18 km
1400 m
FIGURE 1.1 Schematic diagram of a stable orographic cloud.
Thus, the time scale Tp is longer than that for cumuli but considerably shorter1
than that for stratus clouds. The liquid-water contents of wintertime stable2
orographic clouds do not differ substantially from those of stratocumuli; they3
are typically less than 0.2 g m−3. It is only in highly efficient maritime clouds4
or colder and efficient ice-phase-dominated clouds that precipitate occurs.5
If we consider typical updraft speeds near the mountain barrier to be about6
1 m s−1, we have an estimate of wet adiabatic cooling rates of7
CRγ = 18 ◦C h−1, (1.9)8
which is greater by an order of magnitude than radiative cooling rates. Thus,9
near the barrier crest, wet adiabatic processes remain dominant. At distances10
removed from the barrier crest, however, where a blanket cloud may reside, or11
in weaker wind situations, one can anticipate that radiative processes become12
more significant in such clouds.13
There has been very little characterization of the levels of turbulence in14
wintertime stable orographic clouds. At cloud levels near the barrier crest,15
surface-generated turbulence could be quite significant. At higher cloud levels,16
however, turbulence levels can be expected to be relatively weaker under the17
typically stable conditions.18
We can see from these simple comparisons and contrasts that clouds form19
in a broad range of conditions that control the ultimate destiny of the cloud.20
Depending on the vertical velocity, liquid-water content, and cloud time scale,21
precipitation processes may or may not affect significantly the dynamics of22
the cloud. Similarly, radiation processes may or may not be an important23
destabilizing influence on the cloud. It should be remembered that these are only24
rough estimates and that one can expect considerable variability within a given25
cloud category. To account for such variability we must construct sophisticated26
models of each of the cloud types. In the following chapters, we present the27
foundation for constructing such models of the dynamics and physics of various28
cloud systems.29
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Chapter 1 Clouds 11
REFERENCES 1
Howell, W. E. (1951). The classification of cloud forms. Clouds, fogs and 2
aircraft icing. In “Compendium of Meteorology” (T. F. Malone, Ed.), 3
pp. 1162–1166. Am. Meteorol. Soc., Boston, Massachusetts. 4
Huschke, R. E., (Ed.) (1959). In “Glossary of Meteorology” Am. Meteorol. 5
Soc., Boston, Massachusetts. 6
Langmuir, I. (1948). The growth of particles in smokes and clouds and the 7
production of snow from supercooled clouds. Proc. Am. Philos. Soc. 92, 167. 8
Schaefer, V. J. (1948). The production of clouds containing supercooled water 9
droplets or ice crystals under laboratory conditions. Bull. Am. Meteorol. Soc. 10
29, 175. 11
Scorer, R. S. (1963). Cloud nomenclature. Q. J. R. Meteorol. Soc. 89, 248–253. 12
Scorer, R. S., and Wexler, H. (1967). “Cloud Studies in Colour.” Pergamon, 13
Oxford. 14
World Meteorological Society (1956). “International Cloud Atlas, Vol. 1”, 15
Geneva. 16
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