INTRODUCTION
Katabatic winds with blowing snow or blizzards are common phenomena in Adélie Land, Antarctica. There are, however, few experimental or model studies which consider the effect of blowing snow on the katabatic wind, although both blowing snow and katabatic wind have been independently and intensively studied (Ball 1956, Schwerdtfeger 1970, Parish 1982, Loewe 1953, Budd and others 1966, Kobayashi 1972. Schmidt 1982), The only study which combined these two subjects was done by Mather and Miller (1964), who discussed the direction of surface winds in Antarctica with the formation of sastrugi. Ball (1957) and Loewe (1974) mentioned the possible influence of drifting snow on katabatic flow.
In Antarctica the lowest layer of the atmosphere is cooled most of the year by net radiation loss; thus an inverted temperature profile is common. Most of the surfaces are inclined and 97% of Antarctica is covered by ice and snow. Katabatic wind is a gravity flow maintained by the temperature/density difference of the air in the surface layer when compared with the free air temperature at the same altitude further down the slope, Snow particles entrained into the katabatic flow layer have three possible influences on the characteristics of the boundary flow. l) increase in density by entrainment, 2) decrease in temperature (i.e. increase in density) by sublimation of snow particles, and 3) increase in surface friction. This paper discusses the first two, whereas the third is beyond scope of this study and can be assumed to be negligible (Ball 1957).
INSTRUMENTATION AND DATA
Five Automatic Weather Stations (AWS) were installed on the sector of Adélie Land in the Antarctic Continent: four on the slope (Wendler and Poggi 1981) and another at the top of an ice dome, Dome C (Wendler and Kodama 1984) (Figure 1). They extended over a distance of 1080 km with an altitude difference of 3000 m, Geographical settings are given in Table 1. Data collected by the AWS (temperature, atmospheric pressure, wind speed and direction) are transmitted via satellites as part of the Argos system (Poggi and others 1982, Steams and Savage 1981). Since the frequency of observation depends on the availibility of satellites, the hourly data were constructed by the observation closest to the hour. The rate of recovery for the hourly data was more than 90%. Data used here are for the period from 1 June to 10 July in 1983 at stations D80, D47 and DIO, located approximately on a line between Dome C and Dumont d'Urville. The direction of this line (210 degrees from true north) is also the direction of maximum slope. Sensors on the AWS stand approximately three meters above the ground.
KATABATIC FORCE AND BLOWING SNOW DENSITY
The structure of the atmospheric boundary layer is considerably modified by slope of the terrain (Sorbjan 1983). The presence of an inversion layer over sloping terrain generates an additional horizontal pressure gradient force, called "katabatic force" after Ball (1956) due to horizontal temperature differences. Details are given in Figure 2.
According to the slab model of katabatic wind (Ball 1956), wind speed is proportional to the cube root of katabatic force, i.e.:
The increase in flow density due to blowing snow is equivalent to an additional cooling, and therefore, increases the katabatic force. Figure 3 shows the equivalent amount of cooling due to the blowing snow with respect to the blowing snow density. For example, a snow load of 10 g/m3 means an increase of density equivalent to a cooling of 2 C (Loewe 1974), which is equivalent to the average inversion strength in summer months in Antarctica (Phillpot and Zillman 1970). The cooling becomes important for the blowing snow density of a few grams per cubic meter. This density and higher ones were frequently observed for the wind speeds above 18 m/s at 10 m level at Byrd Station in Antarctica (Budd and others 1966).
The increased density in the katabatic flow layer due to the entrainment of blowing snow particles leads to stronger wind speeds as the result of increased katabatic force. Temperature and atmospheric pressure are, however, not directly affected by the entrained snow particles. This is one of the main reasons why the study of blowing snow is difficult. The katabatic force, KF, in case of blowing snow can be expressed in the following form:
where KFa = . KF is the katabatic force in the case without blowing snow and KFbs is an additional force due to blowing snow, g and
where Q = uh expresses net downslope tranport of the medium, and where u, h and k are, respectively, downslope components of wind speed, depth of katabatic flow and friction coefficient. For this derivation Ball assumed 1) nelgigible synoptic pressure gradient and 2) quadratic shear stress. Since the effect of snow particles entrained into the flow does not affect the values of temperature and pressure, K.Fa in case of blowing snow becomes:
The transport rate of snow by wind, ρbsQ, proportional to the cube of wind speed (Kobayashi 1972, Dyunin 1967). Since KFbs is proportional to ρbs, KFbs is as a result proportional to V3/Q. Thus, from the equation (3) it follows:
where c is a constant. The slope of the relationship of KFa and V3 is expected to be smaller for the case of blowing snow.
KATABATIC FORCE AND ALTIMETER CORRECTION METHOD
AWS collect only surface data, whereas information on the free atmosphere is needed to estimate the katabatic force. Therefore, the altimeter correction method, which is frequently used to estimate the surface geostrophic wind (Bonner and Paegle 1970; Pinty and Isaka 1982), was introduced. The katabatic force normal to isoheight of the sloped terrain, KFa, can be expressed in the following form:
RESULT
In Figure 4, KFa is plotted against the cube of wind speed for D47. The solid circles indicate averages for wind speed intervals of 2 m/s. The length of line attached to each circle gives twice the standard deviation. The numerical values above the abscissa give the numbers of the observations for the interval Two linear regression lines are drawn using the lower six points and the upper five points. It is obvious from Figure 4 that the slope for weaker wind speeds is steeper than that for stronger wind speeds. This may indicate the effect of blowing snow, as the stronger w.nd speeds, which reflect the effect of blowing snow are increased with the relatively small increase in KF which does not take account of the effect of blowing snow. The wind speed at the terminal point of two regression lines (12.4 m/s) agrees quite well with the wind speed at which blowing snow density can be more than 1 g/m according to Budd and others (1966) and our own observations in Adélie Land.
In order to test whether the increase in wind velocity which occurs at wind speeds stronger that 12 4 m/s could be due to the increased density of the air with the entrained blowing snow, we compare the measured intensification of the wind with the theoretical intensification of the wind due to entrained blowing snow. KFbs is defined by Equation 3 and appears in Figure A as the difference between the two regression
lines; KFbo, which is calculated as the difference in the two regression lines in Figure 4 for wind speeds stronger than 12.4 m/s, is plotted against wind speed (solid line in Figure 5). The ordinate on the right of the figure is the amount of suspended snow required to explain the total increase of wind speed. This ordinate may be determined from Figure 3. For wind speed of 18 m/s, for example, 39 g/m3 of suspended snow would be required. However, according to Budd and others (1966), the amount of suspended snow particles is about one third of this value. A realistic amount of suspended snow as a function of wind speed is also given in Figure 5 (broken line). Hence, there must be an additional accelerative force.
13 14
19 20 21
Wind speed (m/s)
A candidate to fill the gap is the additional cooling due to sublimation from blowing snow particles. Sublimation from blowing snow particles occurs due to the difference in vapor pressures at the surface of snow particles and the ambient air. It is difficult to achieve an accurate estimate of sublimation without knowledge of moisture in the katabatic flow. However, a rough estimation was done by assuming the * following conditions: 1) The air is kept saturated with respect to ice; 2) Flow is downslope and stationary; 3) Sublimation occurs due to temperature increase by
compression-warming during descent; 4) Time for travel of air parcel is fixed to a time scale of gravity flow Tg = US/g(ef - ea) a (after Gosink 1983), so that the distance of descent depends on the wind speed; and 5) The average sublimation of the whole layer is proportional to the depth of the blowing snow layer with densities of more than 1 g/m3. Estimated cooling under these conditions is converted to the equivalent blowing snow density and added to Figure 5. This effect adds another 20 - 30% to the katabatic force. Hence, suspended snow and sublimation of the snow particles can explain about two thirds of KFbs. Complete agreement can not be expected due to inaccuracies in the assumed amount of suspended snow and the rate of sublimation from the snow particles. Furthermore the model does not totally represent nature
In Figure 6, temperature differences between D80 and D47 are plotted against wind speeds at D47. At about 11 m/s the relationship changes drastically. 11 m/s appears to be the threshold wind speed at which the sublimation of blowing snow starts to contribute substantially to the katabatic flow. The decreased temperature difference provides additional observational evidence of cooling caused by sublimation of the suspended snow at D47.
SUMMARY
The effect of blowing snow on katabatic wind was investigated. Blowing snow densities of more than a few grams per cubic meter substantially affect the katabatic force. The sublimation of blowing snow particles is also an important factor for maintaining the katabatic force. Further intensive measurements of katabatic flow, especially of moisture, are needed to study the effect of blowing snow on the katabatic wind.
ACKNOWLEDGEMENTS
This research is supported by NSF grant DPP-8100-161. Special thanks go to Dr G. Weller for his valuable comments.