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Page Title: INFERRING CLOUDS FROM RAOB
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CLOUD ANALYSIS AND FORECASTING
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INTERPRETATION OF RAOB LAYERS WITH RESPECT TO CLOUD LAYERS

Rawinsondes,  which  penetrate  cloud  systems, reflect,  to  some  extent  (primarly  in  the  humidity  trace), the  vertical  distribution  of  clouds.  If  the  humidity element  were  perfect,  there  would  usually  be  no difficulties  in  locating  cloud  layers  penetrated  by  the instrument. Because  of  the  shortcomings  in  the instrument, however, the relationship between indicated humidity and cloud presence is far from definite, and art empirical interpretation is necessary. Nevertheless, rawinsonde  reports  give  valuable  evidence  that,  when compared with other data, aids greatly in determining a coherent   picture   of   stratiform   and   frontal   cloud distributions. Their value in judging air mass cumulus and  cumulonimbus  distribution  is  negligible. INFERRING CLOUDS FROM RAOB Theoretically,  we  should  be  able  to  infer  from  the humidity  data  of  RAOBs  the  layers  where  the rawinsonde penetrates cloud layers. In practice, the determination that can be made from temperature and dewpoint  curves  are  often  less  exact  and  less  reliable than desired. Nevertheless, RAOBs give clues about cloud  distribution  and  potential  areas  of  cloud formation. These clues generally cannot be obtained from any other source. DEWPOINT AND FROST POINT IN CLOUDS The  temperature  minus  the  dewpoint  depression yields the dewpoint, which is defined as the temperature to which the air must be cooled at a constant vapor pressure for saturation to occur. The FROST POINT (that is, the temperature to which the air has to be cooled or heated adiabatically to reach saturation with respect to ice) is higher than the dewpoint except at 0°C, where the two coincide. In the graph shown in figure 4-15, the difference  between  dewpoint  and  frost  point  is  plotted as a function of the dewpoint itself. In a cloud with the temperature above freezing, the true dewpoint will coincide closely with the true air temperature, indicating that the air between the cloud droplets  is  practically  saturated.  Minor  discrepancies may occur when the cloud is not in a state of equilibrium (when the cloud is dissolving or forming rapidly, or when precipitation is falling through the cloud with raindrops of slightly different temperature than the air); but  these  discrepancies  are  very  small.  In  the subfreezing portion of a cloud, the true temperature is between the true dewpoint and the true frost point, depending on the ratio between the quantities of frozen Figure 4-15.-Difference between frost point and dewpoint as a function of the dewpoint. and liquid cloud particles. If the cloud consists entirely of supercooled water droplets, the true temperature and the true dewpoint will, more or less, coincide. If the cloud  consists  entirely  of  ice,  the  temperature  should coincide with the frost point. Therefore, we cannot look for the coincidence of dewpoint and temperatures as a criterion for clouds at subfreezing temperatures. At temperatures  below  -12°C, the temperature is more likely to coincide with the frost point than the dewpoint. The graph shown in figure 4-15 indicates that the difference  between  the  dewpoint  and  frost  point increases  roughly  1°C  for  every  10°C  that  the  dewpoint is  below  freezing.  For  example,  when  the  dewpoint  is –10°C, the frost point equals –9°C; when the dewpoint is  –20°C,  the  frost  point  is  –18°C;  and  when  the dewpoint is –30°C, the frost point is –27°C. Thus, for a cirrus cloud that is in equilibrium (saturated with respect to ice) at a (frost point) temperature of –40°C, the correct dewpoint would be –44°C, (to the nearest whole  degree). We can state, in general, that air in a cloud at temperatures below about –12°C is saturated with respect to ice, and that as the temperature of the cloud decreases  (with  height),  the  true  frost  point/dewpoint difference increases. Any attempt to determine the height of cloud layers from humidity data of a RAOB is, there fore, subject to error. It is possible to overcome 4-14

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