GENERAL CIRCULATION OF THE E-REGION by Leonard S. Fedor B.S., San Diego State College (1961) SUBMITTED IN PARTIAL FULFILLMENT C OF THE REQUIREMENTS FOR THE I 3i iss.INST. TEcy DEGREE OF MASTER OF LIBRARY SCIENCE LINDGREN at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY September, 1964 A r i I . Signature of Author ........... Department . . V.0.* a a . * *, . . of Meteorology, August 24, .. 1964 i .Certified by * * * *... * 4;j ;9f * 60 0 Thesis Supervisor Accepted by * .......... 00.*ee o... ooooooooo.. ... * ......o.. .*00 Chairman, Departmental Committee on Graduate Students GENERAL CIRCULATION OF THE E-REGION by Leonard S. Fedor Submitted to the Department of Meteorology on August 24, 1964 in partial fulfillment of the requirement for the degree of Master of Science. ABSTRACT Ionospheric sounders may be used to determine the motions in the upper atmosphere by monitoring the reflected waves at three spaced receivers. The correlation method of determining the motions in the ionosphere is presented in detail. The data from fifteen sounders is used to formulate a preliminary picture of the atmospheric general circulation in the region from 95 km to 115 km. The diurnal variations of the wind at selected stations are shown for various seasons. The data is arranged according to distribution for each hour and a mean value is given for each hour. Height profiles of the zonal wind showing the seasonal variation are given at four-hour intervals. A height profile of the prevailing component of the zonal wind is determined from two sets of profiles. The height profile of the tidal variations is also shown. Zonal and meridional prevailing winds are shown in hemispheric maps for both summer and winter. Thesis Supervisor: Title: Reginald E. Newell Assistant Professor of Meteorology -ii- TABLE OF CONTENTS I INTRODUCTION A. B. II .. . . . . . . . . . ... . . General Circulation Detection of Motions by Radio Methods CALCULATION OF THE MOTIONS. . . . . . . . . . . 1 . . . . . . . . . A. Introduction . B. The Method of Briggs, Phillips and Shinn . . . . 1. The Space-Time Ellipse . . . 11 . . 11 . . . 16 . . . . The Connecting Equations . . . . . . . Structure Size . The Velocities in a Two-Dimensional Space . . . . Isotropy and Anisotropy . 1. . . . . 20 22 . . 24 . . 24 2. . . Velocity Definitions . . . . . . 3. 4. C. . . . . . . . The V'c Ellipse. . . 3. Determining the Fading Velocity and Characteristic Velocity in Two Dimensions . 4. Concerning a Comparison of the Methods . . . . . . . . Notes About the Stations . . 2. D. III RESULTS . A. B. C. D. E. IV 11 11 . . 1 6 . . . . . . . . . . . . . Diurnal Wind Variations at Individual Stations . . . . . . . . . . . . . . Height Profiles of the Zonal Wind .. . Height Profiles of the Prevailing Zonal Wind Height-Profiles of the Zonal Wind Without the Prevailing Component . . . . . . . Hemispheric Zonal and Meridional Prevailing Motion . . . . . . . . . . . . . CONCLUSIONS . ACKNOWLEDGEMENTS. BIBLIOGRAPHY . . 24 27 33 34 . 37 . . . 37 67 74 . 77 . 84 . . . . . . . . . . . 89 . . . . . . . . . . . 91 . . . . . . . . . . . 92 -iii- LIST OF ILLUSTRATIONS 1. Observed Zonal Wind 'Component After Murgatroyd (westerly components positive, m/sec) . . 2. Space-Time Plot of a Sine-Wave Moving Along the x-axis . . . . . . . . . . . . . 12 Space-Time Plot of Random Signal Moving Along Positive x-axis . . . . . . . . . . 13 Space-Time Plot of a Contour of the Correlation Function . . . . ......... 15 Temporal Cross-Correlation Function Between Two Receivers Separated by the Distance o . 17 Space Cross-Correlation Function Between Two Receivers Separated by the Time Tr . . . 19 3. 4. 5. 6. 7. Possible Receiver Locations 8. Characteristic Ellipse . 9. . . . . 25 . . . . 26 Apparent Drift Velocity - Uncorrected for Anisotropy. . . . . ... . . . . . 28 0 .. .. 29 30 . 10. Apparent Drift Velocity - Reduced 11. Apparent Drift Velocity - Corrected 12a. . . . Spring (After Harnischmacher, 1963). .. 0 .. .. . . . . . 0 0 0 0 0 . . . . . 0 0 0 . . . 43 12b. Summer (After Harnischmacher, 1963). 12c. Autumn (After Harnischmacher, 1963). 45 12d. Winter (After Harnischmacher, 1963). 46 13a. Diurnal Variation of the West-East Component at Yamagawa (Jan-Feb-Mar) . . . . . . . . 47 Diurnal Variation of the South-North Component at Yamagawa (Jan-Feb-Mar) . . . . . . . 48 13b. -iv- * . 44 14a. 14b. 15a. 15b. 16a. 16b. 17a. 17b. 18 a. 18b. 19a. 19b. 20a. 20b. 21a. 21b. Diurnal Variation of the West-East Component at Yamagawa (Apr-May-June) . . . . . . 49 Diurnal Variation of the South-North Component at Yamagawa (Apr-May-June) . . . . . . . 50 Diurnal Variation of the West-East Component at Yamagawa (July-Aug-Sept) . . . . . . . 51 Diurnal Variation of the South-North Component at Yamagawa (July-Aug-Sept) . . . . . . 52 Diurnal Variation of the West-East Component at Yamagawa (Oct-Nov-Dec) . . . . a . * S 53 Diurnal Variation of the South-North Component at Yamagawa (Oct-Nov-Dec) . . . . . . . S 54 Diurnal Variation of the West-East Component at Waltair (July-Aug-Sept) . . . . . . 55 Diurnal Variation of the South-North Component at Waltair (July-Aug-Sept) . . . .* ... 56 Diurnal Variation of the West-East Component at Waltair (Oct-Nov-Dec) * * * * * * * 57 Diurnal Variation of the South-North Component at Waltair (Oct-Nov-Dec) * . . . . . . 58 Diurnal Variation of the West-East Component at Rostov (Oct-Nov-Dec) * * . 59 Diurnal Variation of the South-North Component at Rostov (Oct-Nov-Dec) .......... 60 Diurnal Variation of the West-East Component at Mayaguez (Jan-Feb-Mar) . . ..... 61 Diurnal Variation of the South-North Component at Mayaguez (Jan-Feb-Mar) * * * * . . 62 Diurnal Variation of the West-East Component at Mayaguez (Apr-May-June) ......... 63 Diurnal Variation of the South-North Component at Mayaguez (Apr-May-June) . . . . . . . . 64 22a. 22b. Diurnal Variation 'of the West-East Component at the Pennsylvania State College (July-Aug-Sept). . . Diurnal Variation of the South-North Component at the Pennsylvania State College (July-Aug-Sept) 65 . 66 Height Profile of the Zonal Wind at 0000 Local . . . Time 68 Height Profile of the Zonal Wind at 0400 Local Time . . . * 69 Height Profile of the Zonal Wind at 0800 Local Time . 70 Height Profile of the Zonal Wind at 1200 Local Time . . . 71 Height Profile of the Zonal Wind at 1600 Local Time . . . 72 Height Profile of the Zonal Wind at 2000 Local Time . . 73 24a. Height Profile of the Prevailing Zonal Wind 75 24b. Height Profile of the Prevailing Zonal Wind 76 25a. Height Profile of the Zonal Wind Without the Prevailing Component at 0000 Local Time 78 Height Profile of the Zonal Wind Without the Prevailing Component at 0400 Local Time 79 23a. . 23b. . . # 23c. 23d. 23e. . 0 23f. S 25b. 25c. 25d. 25e. 25f. 0 a 0 0 0 . 0 * & 0 0 0 * . 0 0 0 0 0 . 0 . . 0 0 0 0 0 0 0 . . . 0 0 0 Height Profile of the Zonal Wind Without the Prevailing Component at 0800 Local Time . . . 80 Height Profile of the Zonal Wind Without the Prevailing Component at 1200 Local Time . . . . 81 Height Profile of the Zonal Wind Without the Prevailing Component at 1600 Local Time 0 . 82 Height Profile of the Zonal Wind Without the Prevailing Component at 2000 Local Time 83 26a. 26b. 26c. 26d. Hemispheric Map of the Prevailing Zonal Winds in the Winter . . . . . . . . . . . . 85 Hemispheric Map of the Prevailing Zonal Winds in the Summer . . . .* . * . . . . . . 86 Hemispheric Map of the Prevailing Meridional Winds in the Winter. . . . . . . . . . . 87 Hemispheric Map of the Prevailing Meridional Winds in the Summer . . . . . . . . . . 88 LIST OF TABLES 1,. Stations Used in the Analysis 2. The 24-, 12-, and 8-Hour Harmonics Obtained by &. . . . Fourier Analysis (from Aono, et.al., 1961) -vii- 0 . . . . 40 CHAPTER I. A. INTRODUCTION General Circulation Initial studies of the general circulation of the atmos- phere have been concerned with the troposphere, where the weather systems form. As data became available the studies were extended to include the stratosphere. It is natural to continue the general circulation investigations into the upper atmosphere. Physicists have been determining the motions in the ionosphere for many years at various stations. It is the purpose of this thesis to use the more recent data to obtain a picture of the circulation in the region from 95 km to 115 km. A survey article by Murgatroyd (1957) proposed a model for the zonal motions in the upper atmosphere (up to 100 km) using measurements made by a variety of methods. For the high alti- tudes these methods include the use of noctilucent clouds, ionized meteor trails, ejection of sodium from rockets, radio propagation, and others. given in Figure 1. The results of Murgatroyd's study are Above 80 km the results were obtained from the data of nine stations and include data from both hemispheres. Kochanski (1963) proposed models of the general circulation at 80 km and 100 km based mainly on the meteor trail measurements at Jodrell Bank and Adelaide. Such a model necessarily suffers -1- Summer 120 Winter 120 E 100 I Pole 80* 600 400 200 Equator 20* 408 Figure 1: I~Cbs 600 80* Pole Latitude Latitude Observed Zonal Wind Component After Murgatroyd (1957) (westerly components positive, m/sec) =;-iZ. -ru i~i--~ C---~P-i ~-~-51~-FliJYasZGill~-BIClt~P-IIL L- 1- _1~1_~1 _~_~_ _1__ _~_1~1~11_~~...__ ~.~_~ I for its lack of observations and number of stations. However, there has been information gained from the data at the individual meteor wind stations. For example, this data shows that internal gravity waves are present (Hines, 1960) and the Jodrell Bank data shows strong tidal components. A source of much information in the studies of the general circulation at lower altitudes has been the separation of the motions into harmonic components (see, for example, Teweles,. 1963). Four groupings of the resultant waves are made; the zonal flow (n = 0), long or planetary waves (n = 1 to 4), cyclone waves (n = 5 to 8), and short waves (n = 9 to 15). In the trop- osphere the cyclone waves provide the largest energy contribution to the zonal flow (Teweles, 1963), while in the stratosphere the planetary waves contribute the most energy to the zonal flow (Teweles, 1963). In particular, at 100 mb, eddies of wave number 1 and 2 contribute the bulk of the energy to the zonal flow. There is energy exchanged among the eddies of different wave number. The eddy of wave number 3 receives the most energy from the other eddies. Charney and Drazin (1961) considered the vertical propagation of planetary-scale waves. The damping of these waves with altitude is dependent upon the magnitude of the zonal winds in the stratosphere. They concluded that these waves probably could not be propagated above the stratosphere, except -3- possibly in the spring after the breakdown of the polar night jet, and for a short time in the autumn. Hines (1963) points out that in the winter when the transmission coefficient increases (he determines from Charney and Drazin that the transmission coefficient for a horizontal wavelength of 10 10 - 3 km is in the winter) more than enough energy needed to support prevailing motions can be propagated to 95 km. Hines' calcu- lations were approximations but they point out that planetaryscale motions propagated from below may be a source of energy for the motions in the upper atmosphere. Internal gravity waves generated in the troposphere may propagate into the ionosphere. Gossard (1962) discussed the generation of internal gravity waves in connection with tropospheric weather. Jones (1963) proposes that internal gravity waves may be generated as secondary waves resulting from the interaction of the tides with geographic undulations. Hines (1960, 1963) has shown that the lower ionosphere is a permissible region for the existence of these waves. His discussion included experimental evidence of their existence in this region. The waves should not be in evidence much above 100 km because of the increasing importance of molecular viscosity (Jones, 1963). -4- The influence of the tides in the lower ionosphere is well documented. The data from meteor trail measurements at Jodrell Bank (530 N) show that there is a prevailing wind of about 15 m/sec, with a 24-hour tidal component of about 10 m/sec, and a 12-hour tidal component of about 20 m/sec (Greenhow and Neufeld, 1961). Meteor trail measurements at Adelaide (350S) show that the 24-hour tidal component is directed northward at 1730 LT (local time) with a magnitude of 27 m/sec and it is directed eastward at 0930 LT with a magnitude of 25 m/sec. The 12-hour tidal component at Adelaide is directed northward at 0000 LT with a magnitude of 20 m/sec in the summer and northward at 0530 LT with a magnitude of 5 m/sec in the winter; the 12-hour tidal component is directed eastward at 0720 LT with a magnitude of 12 m/sec. at Brisbane (270S) tude of 7 m/sec. Radio waves reflected from the ionosphere show a 24-hour tidal component with a magniThe 12-hour tidal component at Brisbane is directed northward at 0930 LT with a magnitude of 10 m/sec in the summer and at 0230 LT with a magnitude of 15 m/sec in the winter; it is directed eastward at 0840 LT with a magnitude of 8 m/sec (Burke and Jenkinson, 1957). The observations at Freiburg (510 N) were analyzed according to the distribution in the percentage of times each value occurs (Harnischmacher, 1963). The data was arranged to occur with both solar time and lunar time. -5- Harnischmacher then found that the solar and lunar phase shifts of the 12-hour tidal component were quite similar. On the average both go through north at 0300 hours and 1500 hours solar or lunar time. He concluded that gravitational forces were the cause of the solar and lunar 12-hour terms. Harnischmacher defines the term engagement to describe the importance and concentration of the distribution maximum. An engagement of 100% would exist for a delta-function distribution, an engagement of 0% would indicate that no preference can be found for the distribution. In solar time the engage- ment is 25% for the prevailing component, 3% for the 24-hour tidal component, and 25% for the 12-hour tidal component. In lunar time the engagement is 5% for the prevailing component, 9% for the 24-tidal component, and 15% for the 12-hour tidal component. B. Detection of Motions by Radio Methods The measurements used in this thesis are all derived from the fading of radio waves reflected from the ionosphere. It is important to know what relation the measurements have to the actual winds at ionospheric heights. -6- Radio waves transmitted from the ground interact with the free electrons in the ionosphere resulting in the waves being reflected back to the ground. The reflection coefficient is dependent upon the frequency of the waves, electron density, the magnitude and direction of the earth's magnetic field, and the electron-neutral particle collision frequency (see, for example, Ratcliffe, 1959a). Depending upon the time of day and angle of incidence very low frequency (3 kc/s to 30 kc/s) and low frequency (30 kc/s to 300 kc/s) radio waves are reflected from the D-region (below 95 km) and the lower E-region. Medium frequency (300 kc/s to 3 mc/s) radio waves are reflected in the lower E-region. In the D-region the collision frequency is high so that waves reflected here are strongly absorbed. The collision frequency is considerably reduced in the E-region but waves reflected here will suffer some absorption in passing through the D-region. Since the electron density varies throughout the day the radio waves will be reflected at different heights during the day. *At any particular frequency the ionosphere does not behave as a perfect reflector. The direction of propagation bends as the waves traverse the medium until they emerge from the bottom -7- of the ionosphere. When the time of travel is known and the free-space velocity is assumed an apparent reflection height results (Ratcliffe, 1959a). Uncertainty of this height in relation to the true height is about 10 km (Briggs, 1960) and will depend upon the frequency and the angle of incidence. The reflected signal is.variable in amplitude and phase. This is true because the electron density is irregular, the electrons having a tendency to form "clouds". The radio waves will be scattered from these irregularities and form a diffraction pattern. The reflected signal received at the ground will vary with time if an unchanging diffraction pattern moves with a steady drift, if random changes occur within the diffraction pattern, or if there is a combination of steady drift and random changes (Briggs, et.al., 1950; Bowhill, 1956a). Determination of the velocities of drift will be discussed in detail in succeeding paragraphs. An extensive study of the relationship between the diffraction pattern at the ground and the diffraction pattern at the diffracting screen has been made by Bowhill (1956b). In terms of wavelength the higher frequency waves give the appearance that the screen is a very long distance from the ground. The structure size (to be defined) and the fading speed of the pattern at the ground have a one-to-one correspondence with the pattern at the screen. -8- For long waves (VLF and LF) the relation between the pattern at the screen and the pattern at the ground is not simple but it is determinable. Fooks (1962) shows that the irregularities have their greatest effect on the reflected signal when they are just below the height of reflection. This agrees with experiment results (Jones, 1958). The relationship between the motions determined by radio methods and the neutral wind is still not clearly understood. Electrodynamics may play an important role in determining the motions at the altitudes considered here. From a summary article by Ratcliffe (1959b) electromagnetic effects are negligible in the D-region and the motion of the electrons is identical to the neutral wind. In the E-region the winds and the electric fields (set up by the winds and by polarization effects) have equal effect on the ionization drifts. The exact height where the electric-field effect becomes important is not known. Jones (1958) has compared the results from the radio wave fading technique with the meteor trails technique and concluded that the ionization irregularities move with the neutral wind up to 110 km. E-region sounders determine the motions of densely ionized electron clouds (sporadic E) at night. Axford (1963) proposes a model which shows that the sporadic E may be formed by the -9- motion of electrons along the earth's magnetic field lines. The motion of electrons along the field lines may be caused by neutral wind shears set up by internal gravity waves (Hines, 1960). The vertical movement of the internal gravity waves can cause a vertical transport of these clouds (Axford, 1963). Gossard and Paulson (1964) have proposed that electron cloud projections extend into the D-region causing the rapid phase changes "seen" by ionospheric sounders. These projections may remain for some time before attachment and recombination processes dissipates them.. The projections may separate into smaller clouds before they finally disappear. This may be why the ratio of random vzlocity to drift velocity (to be defined) in the D-region (Sales and Bowhill, 1962) is greater than that in the E-region (Fooks and Jones, 1961). CHAPTER II. A. CALCULATION OF THE MOTIONS Introduction The motions in the ionosphere may be determined from radio waves that have been reflected from the ionosphere and received at three spaced receivers. motions are presented here. The methods of determining the There are three methods presently being used by various workers. The time-delay method (see, for example, Sales, 1960) has been called the spaced receiver or Mitra method after its originator. The method devised by Briggs, Phillips, and Shinn (1950) uses statistical functions and is called the correlation method. Yerg (1959) has proposed a statistical method that gives results that are similar to those given by the correlation method. The correlation method with modifications by Phillips and Spencer (1955) and by Sales and Bowhill (1962) is presented in this chapter. The limit of the time-delay method is shown. B. The Method of Briggs, Phillips, and Shinn 1. The Space,Time Ellipse Consider a two-dimensional diagram where the coordinates are space and time as in Figure 2. -11- t (time) 4-. At x *spoce Figure 2. Space-Time Plot of a Sine Wave Moving Along the x-axis. Suppose that a receiver has been placed at A and another at B on the x-axis, at a distance, e, apart. If a sine wave travels along the x-axis its temporal record at A would be indicated by the maxima and minima (crosses and circles) along the line parallel to the t-axis passing through A in Figure 2. The same sine wave would arrive at B but its time record is displaced by a time, At, the time it takes the sine wave to travel from A to B. Therefore, knowing e it is possible to determine the speed at which the sine wave is traveling along the x-axis, i.e., VAt. -12- If, instead of a simple sine wave, the received signals were a diffraction pattern of radio waves that resulted from the reflection of the waves from the ionosphere, then a similar space-time plot may be made. In order to obtain a more complete picture consider that there are an infinite number of receivers situated along the x-axis. The space-time plot then might appear as in Figure 3. ) 7 '2$ I Figure 3. r- i • I I I -- Space-Time Plot of Random Signal Moving Along Positive x-axis. -13- The closed contours are isolines of amplitude and are shown sloping corresponding to the time delay of the signal as it travels from A to B as in Figure 2. The contours of the diffraction pattern are shown irregular since the ionospheric diffracting screen causing the pattern will be irregular. The exact nature of the diffraction pattern cannot be determined since it is impossible to have an infinite number of receivers and impractical. to have more than a few. This is as far as the Mitra method carries the analysis. Three receivers are set up to form a triangle. The temporal records of a pair of receivers are compared for similar maxima. The time displacements determined over a length of the record, usually about fifteen minutes, are then averaged to give a fading.time. Knowing the distance between the two receivers gives a component of the drift velocity in the direction of the line joining them. A similar procedure is made using a second pair of receivers of the triangle. The two components are added vectorially to find the drift velocity. The errors possible with this method will soon become apparent. Consider a two-dimensional correlation function defined such that, p(a,O) is the spatial auto-correlation function and p(0,T) is the temporal auto-correlation function. -14- There is experimental evidence that p(e,0) and p(0,7) have similar shapes (Bowhill, 1956a). The cross-correlation function is P(o,-7) where eo is the spatial separation between itwo receivers. The three-dimensional picture of the correlation function would be a surface whose maximum value occurs at zero time lag and zero space lag, given by p(O,O) = 1. 'Considering that the correlation function is fairly well behaved near the origin ( = 0, 7 = 0), to a first approximation an isopleth will have the form of an ellipse. An isopleth, Po, of the correlation function is shown in Figure 4. The slope of the ellipse is due to the time required for an event to move from one point to the next. axis (line 00') is Thb inverse of the slope of the major the drift velocity component in the x-direction, Ax/At.. #o-- o- x ,/ ' 0,0) / Io (Eo,To) (xo,O ! 00 Figure 4. Space-Time Plot of a Contour of the Correlation Function. -15- X 2. Velocity Definitions The preceding discussion has been limited to the effect a stable diffraction pattern has on a space-time plot. If the diffraction pattern changes form as it drifts the velocity of drift cannot be found simply, as by the Mitra method. changes of form will be called random changes. These In effect .it will induce a random component (random velocity, to be defined) on the drift velocity. It will be assumed that the random velocity and the drift velocity do not change during the length of a time record, i.e., the record is statistically stationary. The record is assumed to-be short with respect to long period changes such as tidal oscillations. Lee (1962) has made an analysis for a vertical ionospheric sounder at a frequency of 300 kc/s and determined that a record of fourteen minutes with 84 scaling points gave satisfactory results. This was a com- promise between a long record less subject to sampling errors and a short record that will give better resolution of the movements. The following definitions will be used to describe the motions of the diffraction pattern (Briggs, et.al., 1950). -16- 1.0 p(Co, T) TO Figure 5. a. Temporal Cross-Correlation Function Between Two Receivers Separated by the Distance to. Apparent Drift Velocity (V') This is the velocity obtained when the records of two receivers, separated by a known distance, are examined for the best cross-correlation. eo, If Figure 5 is the cross-correlation function for the two receivers then the time lag for maximum correlation is To. Therefore V' = to/To This is identical to the velocity obtained by the time-delay method. -17- (I) b. Fading Velocity (V') This is the ratio of the space shift to the time shift needed to produce the same change in value of the received signal. If for a time lag, to, the temporal correlation is Po, then one finds the space lag, xo, such that p(xo,O) = Po = p(O,to), then Vt = xo/to (2) The fading velocity is the overall drift velocity, that is, its components include the drift velocity and the randomness of the diffraction pattern. c. Drift Velocity (V) This is the velocity an observor would have to move at in order to experience the minimum amount of fading of the signal. For a given time displacement, r , one finds the spatial displacement that will give the maximum value of the spatial correlation function. From Figure 6 v = The e-axis is parallel to the x-axis. (3) xJ p ({1Tj) %I Space Cross-Correlation Function Between Two Receivers Separated by the Time T7. Figure 6. d. Characteristic Velocity (V0 ) This is the fading velocity (V') found by the observer - moving with a velocity V. that p(e,, T7) p(xo,0) = p(,,). Since T. may be chosen such = Po = P(VT7, 7), then, Therefore Vc = xo/Ti (4) The fading velocity (V') and the apparent drift velocity (V') are easily found from the auto- and cross-correlation functions. in Figure But it is impractical to obtain the function shown 6, since it would require an infinite number of -19- receivers. Therefore, connecting equations must be found in order to determine the drift velocity (V) of the pattern and the characteristic velocity (Vc) which is a measure of the randomness of the pattern. 3. The Connecting Equations By suitable choice of xo, (0,to), (~o,T0 ) and to, o, and 71 the points j,7T 1 ) may be located on the po ellipse, These points are shown a contour of the correlation surface. in Figure 4. The general equation for an ellipse is Ae 2 4 2B47 + C 2 = 1 A, B, and C may be found from Figure 3. equation (5) (5) At the point (O,to) becomes C= /t2 (6) The ellipse has a vertical tangent at the point (,oo). Therefore A = 0 at (o,To). So that proper substitutions at the point (toTo) gives B = -ro/oto -20- (7) and 2)/t2 S2 A = (to + ro)/tI T (8) A, B, and C may also be found using the points (xo,O) and dr (~r,r 1 ) where there is a horizontal tangent such that, d- 0 at (41~7 1). This procedure gives (9) A = 1/x2 B = -41/x1 c =(x0 + 1)/x~ (10) (11) Rearranging equations (9) and (10) x 7T Combining equations (11), = (12), = 1l/A 12) (13) -ejA/B and (13) 6. = B 2 /A(AC-B -21- 2) (14) then 72 = A/(AC-B 2 ) (15) dividing equation (12) by equation (15) 2) = (C/A) - (B 2 /A 2 ) (x2 but from equation (4), Ve = Xo/7 and (9), C/A = x/t2 (~ 1 . And from equations (6) by equation (2). and equation (3) B2 /A 2 = V2 . (16) From equation (13) Therefore equation (16) may now be written (v')2 = v 2 + V2 (17)* Combining equations (6) and (7) and making use of equation (1) gives eo/To = -C/B = V'. VV' 4. = Therefore (-B/A)(-c/B) = C/A = (V ) 2 (18) Structure Size So far the discussion has been concerned with the motion of a one-dimensional diffraction pattern resulting from the reflection of radio waves from the ionosphere. It is important to define a quantity that will describe the extent of the ionospheric -22- irregularities. The structure size may be defined as the dis- tance, or time, where the correlation function falls to some arbitrary value. Bowhill (1956a) used a value of 0.61 (e) while Fooks and Jones used 0.50. Let the time lag where the auto-correlation function falls to 0.50 be called the fading period and be designated by b, i.e., p(0,b) = 0.50. Then the structure size, d, is given by p(d,O) = p(0,b) = 0.50. fading velocityis defined by equation (2). The Therefore VI = d/b (19) The value of the correlation function p(eo,7) at 7 = 0, where to is the separation between two receivers, will give one point on the spatial correlation function. T2 , such that p(0,'7) = p(o,O). Then choose a time lag, This assumes that the temporal and spatial correlation functions have similar shapes. d = (eo/r 2 )b -23- Then (20) C. The Velocities in a Two-Dimensional Space 1. Isotropy and Anisotropy Suppose that the diffraction pattern is frozen in time. A central point is arbitrarily chosen and the spatial correlation function is determined. If the structure size is found for each direction and is found to be constant, independent of direction, the diffraction pattern is said to be statistically isotropic. If the equations given in Part B are used to deter- mine the velocities in two dimensions, isotropy is assumed. This is essentially the Briggs, Phillips, and Shinn method. If the pattern deviates from this defined isotropy it is an anisotropic pattern. Phillips and Spencer (1955) made the modifications that will include anisotropic patterns. It will be assumed that space lags are sufficiently close to the origin of the spatial correlation function so that, to a first approximation, isopleths will be ellipses. This means that receiver separations must be sufficiently small. It has been determined that the best separation is about one wavelength of the transmitted frequency (Sales, 1960). 2. The V' c Ellipse Since only three points are needed to determine the equation of an ellipse, only three receivers are needed to -24- 1 Figure 7. Possible Receiver Locations. completely describe the extent of the received ionospheric irregularities. in Figure 7. One possible triangle of receivers is shown Considering the records from two of the receivers at a time, a structure size may be determined from each pair of records. Figure 8 shows the three structure sizes obtained with an ellipse drawn through the end points. By dividing each structure size by the fading period a fading velocity for each direction is determined. The resultant ellipse will be called ellipse. the fading velocity (V') C -25- A general equation for the 0Q d/I \ 0 Ob = m a Semi-minor axis \bo = tilt angle of ellipse /O ratio ROo=AxiSem Figure 8. Characteristic Ellipse., ellipse shown in Figure 8 is Ax2 - Bxy + Cy 2 = 1, where A = (Cos 2 '/M 2 ) + (Sin 2 "'/m2 ) B = (m-2 - M-2 ) Sin29 C = (Sin2 /M 2 ) + (Cos 2 9 /m 2 ) Tan2* = B/(C-A) -26- (21) (22) (23) (24) From equations (21), (22), and (23) M2 2 (A+C) - (25) B2 + (A-C)2} (26) 2 m2 _ (A+) + B2+ (A-C)2}2 R2 = M2 /m2 3. (27) Determining the Fading Velocity and Characteristic Velocity in Two Dimensions Since the fading velocity is dependent on direction a receiver triangle different from the one shown in Figure 7 will result in different values for the drift velocity and characteristic velocity. The following method (Phillips and Spencer) will be used to eliminate the effect of anisotropy. Suppose receivers ro and r, are used to find the apparent drift velocity by equation (1). Then call this velocity V . Similarly, receivers ro and r 2 will give an apparent drift velocity, VA. The resultant of VA and VB will be called VD. The three velocities are shown in Figure 9. TaneD = V~Cosp + VASina V Cosa + VBSinp -27- (28) 4 0001X V8 I, Figure 9. Apparent Drift Velocity - Uncorrected for Anisotropy. VD = VBCos(eD+P) = vAsin(eD-a) (29) The major axis of the VI ellipse shown in Figure 8 lies along the line 00' shown in Figure 9. If all values of V' parallel to the major axis are reduced by a factor 1/R, R = axial ratio of the ellipse, the ellipse becomes a circle and the fading velocity is independent of direction. Figure 10 shows VA, VB, and VD transformed to the new coordinate system where all velocity components parallel to the 00' direction have been reduced by 1/R. coordinates. The subscript T refers to the transformed V# is the apparent drift velocity in transformed -28- I d VAT / TXT SVBT Figure 10. coordinates. Apparent Drift Velocity - Reduced. Since the pattern is isotropic the same value will always be obtained no matter what the original receiver triangle configuration. Expanding to the original coordinate system from Figure 10 will give Figure 11. Figure 11 is iden- tical to Figure 10 except for the presence of V' and e. V' is the apparent drift velocity found by considering motion in two dimensions, and by taking into account anisotropy; if the pattern is isotropic than V' = Vb. From the geometry of Figure 11 V' = V/Cos(eD-e) -29- (30)* 0O f Figure 11. Apparent Drift Velocity - Corrected. From the geometry of Figure 10 VT = vnCos(e - The relationship between V V = VI (31) T) and V' is (1/R2)Cos 2 (e-*) + Sin2 (e-) -30- 2i I (32) and between e and eT Tan(eT-9 ) = RTan(e-v9) (33) Similarly V = V{ (1/R2) Cos2(eD-*) + Sin 2 ( D- (34) and Tan( eDT-9) = RTan(9 D - V9) Combining equations (33) Cos(eDT-eT ) = (35) and (35) 1 + R2 Tan(nD-))Tan(0--) 1 + R2 Tan 2 ( eD-V) fl and combining equations (31), (32), Cos(eDT-T) = 1 + R2Tan2(eP)J (36) and (35) (37) -31- By combining equations (30), (36), and (37), suitable manip- ulation gives Tan(e-9) = (1/R 2 )Tan(eD-9)) (38) * The fading velocity in the transformed coordinate system is independent of direction. Its magnitude is the length of the semi-minor axis of the fading ellipse. Therefore, its value is Vc = m{(1/2)Cos2(e-*) + Sin2(e-*)} (39)* Equations (17) and (18) now can be used to find the drift velocity (V) and characteristic velocity (Vc). Sales (1960) shows that there must also be a correction made in the determination of the characteristic velocity. If V*C is the correct value then + R2Tan 2 (0-_) so that equation (17) (40)* becomes (v) 2 = v 2 + (v*) 2 -32- (17a) * It needs to be pointed out that .the drift velocity (V) measured at the ground is one-half the ionospheric drift velocity. 4. Concerning a Comparison of the Methods Yerg (1959) gives the theory for determining the drifts using the total derivatives and partial derivatives of the amplitude of the received signal. Although the method will not be presented here its accuracy is comparable to the Briggs, Phillips, and Shinn (1950) method. The time-delay method uses the apparent drift velocity (V') only in determining the magnitude of the motions. The advantage of this method is that it easily and quickly arrives at a value. It was used by the In fact, majority of the workers whose data is used here. Harnischmacher (1963) has obtained 20,000 values over a period of five years by this method. The correlation method is more accurate but it is more laborious. However, except for deter- mining the points on the fading ellipse (see Figure 3), analysis can be readily applied to a computer. the Fooks and Jones (1961) have compared V' with V for the E and F regions. For the E region V' was greater than V in the majority of cases, with an average value of their ratio of about 1.4. no systematic difference between 0 and OD majority of values of (e D-) . However, the were within +200. -33- There was D. Notes About the Stations The locations of the stations used in the analysis are listed in Table 1. The methods used by each station to deter- mine the winds are noted by T, C, and Y. T is for the time- delay method, C is for the correlation method, and Y is for the Yerg method. The last column in Table 1 shows the number of observations obtained by each station for the listed period. Data was received for only two stations in the southern hemisphere (Johannesburg and Brisbane). Therefore, motions in the southern hemisphere will not be considered in the analysis. The number of stations reporting data is twice the number available to Murgatroyd (1957) above 95 km. Murgatroyd com- bined the data from both hemispheres and several different methods of observation. There still remains a major portion of the hemisphere not covered by any observations. made available in varying amounts. Data was The Freiburg data actually covered a period of four years during which time approximately 15,000 observations were made. not given for Freiburg. Individual observations were Instead, results were obtained from distributions of magnitude and phase of the motions for each month. Since this was time consuming only one year's data was used in the analysis. The data at Yuma is limited to three -34- Table 1 - Stations Used in the Analysis Station Station Name Number 1 Yamagawa 2 Swansea 3 Gorky 4 Irkutsk Ibaden 6 Waltair 7 Tomsk 8 Murmansk 9 Rostov 10 Simeiz 11 Kharkov 12 Mayaguez Location 130.6 0 E 31.2 0 N 4.0 W 51.6 0 N 44. 3 0 E 56.1 0 N 104.0 0 E 52.5 0 N 'Period of Coverage. Type of* Analysis 7/57-12/60 1343 7/57-6/58 137 8/57-3/60 103 4/58-1/60 349 8/58-12/58 244 6/57-5/60 865 9/57-6/59 128 11/58-1/60 180 7/58-12/59 456 1/58-11/58 235 8/57-1/60 386 66.oow 2/58-9/58 357 4.00E 7.4 0 N 83.3 0 E 17.7 0 N 85.0oE 56.5 0 N 33. OOE 69.0 0 N 39.6 0 E 47.2 0 N 34. OE 44.6 0 N 36.3 0 E 50.0 0 N 18.OoN 13 14 15 Pennsylvania 77.9 00 W State College 40.8 N Yuma 114.7 0 W 32.7 0N Freiburg 13. 33E 50.9 0 N *T = time-delay method Total No. of Obs. 2/61-1/62 451 3/62, 10/62, 2/63 7/60-6/61 Y = Yerg method -35- =3718 C = correlation method EXLU~ 1L^.--"-~~ ----- -~-I-XLI ~PXI -YIIWI---I ~---I~C--LL-L months of observations (March and October, 1962; February 1963). Stations reporting data for only part of the day are Yuma, Pennsylvania State College, Ibaden, Gorky, and Simeiz. The height range for which the data apply is from about 95 km to 115 km. The height of reflection of radio waves was not given for the following stations; Swansea, Ibaden, Freiburg, Mayaguez, Pennsylvania State College, and Yuma. A reflection height may be assigned based on the frequency used at each station and/or the time of day when most of the data was obtained at each station. The height of reflection was assumed to be 95 km at Swansea, Ibaden, Pennsylvania State College, and Yuma. The height of reflection was assumed to be 100 km at Mayaguez and Freiburg. The remaining stations gave a reflection height for each observation. -36- CHAPTER III. A. RESULTS Diurnal Wind Variations at Individual Stations Figures 12a through 22b show the diurnal wind variation at selected stations. Stations that were chosen had ten or more observations at the time indicated, plus a series of such times in a given season. Observations were chosen if they referred to motion in the height range, 95 km through 115 km. The shaded areas indicate those values where there is a concentration of 10% or more of the observations. This procedure is similar to that used by Harnischmacher (1963). Figures 12a through 12d show Harnischmacher's results from five years of data obtained at Freiburg. The magnitude and direction (clock- wise from north) of the motion is presented in these figures. The remaining figures in this set have been determined from the observations taken at other stations under the conditions described above. A summary of the results obtained at Freiburg is presented in Figures 12a through 12d. Harnischmacher (1963) did not determine average values since the distributions sometimes became complicated. Thus, average values would often occur where there is a minimum number of observations. The distri- bution was limited to every 300 in direction and every 10 m/sec -37- in magnitude. Figure 12a presents the distributions for spring. The magnitude A 12-hour variation in direction is well defined. shows some variability but no tidal component is evident. The magni- distributions for summer are presented in Figure 12b. tude is very steady and lacks any tidal variations. The The summer magnitude is generally smaller in comparison to the spring magnitude. The direction is fairly steady having components towards the east and towards the north. Superimposed on this steady component may be seen a 24-hour tidal component. In the autumn the magnitude is about the same as it is in the summer (Figure 12c). The return of the 12-hour tidal component in direction is shown. Figure 12d presents the distributions for winter. There is a marked increase in magnitude with a wider distribution, which is comparable to the spring distribution. tion indicate The variations in direc- the influence of more than one tidal component. The diurnal wind distributions determined in this thesis were separated into westerly and southerly components. values at each hour of the day were also determined. Mean A prevailing wind in each season was found by averaging all observations. Figures 13a through 16b show the diurnal wind variation at Yamagawa for the four seasons. In winter there is a 2 m/sec -38- prevailing westerly component (Figure 13a). There is a lack of continuity in the distribution resulting from day-to-day variabilities. The concentration of values indicates that these variabilities may have comparable magnitude in either direction. There may be tidal influences but they are not easily discernable. The south-north component for winter is shown in Figure 13b. The prevailing component is northerly with a magnitude of 25 m/sec. in the distribution. Again, there is a variability A strong prevailing westerly component of 37 m/sec may be seen in Figure 14a. The distribution is continuous with a median some 20 m/sec greater than the mean values. Figure 14b shows the diurnal distribution of the south- north component. in the afternoon. The distribution is fairly continuous except The prevailing component is northerly with a 17 m/sec magnitude. seen in this figure. A strong 24-hour tidal component may be During the summer both components have widespread discontinuities (Figures 15a and 15b). The prevail- ing components are 17 m/sec westerly and 26 m/sec northerly. The mean value variations in both wind components show a strong 12-hour tidal component. In the autumn there is a return to continuous distributions, which is shown by Figures 16a and 16b. The prevailing components are 17 m/sec easterly and 20 m/sec northerly. It is difficult to determine the tidal influence in these figures. -39- ~--xlrrrrarr~-mrr- A Fourier analysis of the data from Yamagawa has been made (Aono, Tsukamoto, and Ichinose, 1961). results are shown in Table 2. A portion of the The velocities and times of maximum northward and eastward are given in local time. Table 2 The 24-, 12-, and 8-Hour Harmonics Obtained By Fourier Analysis (from Aono, et.al., 1961) Season Northward Velocity Time (hours) (m/sec) Eastward Velocity Time (hours) (m/sec) 24-Hour Summer 23.4 1236 4.2 1542 Harmonic Autumn 33.0 1300 21.8 0254 Spring 13.5 1730 16.5 0400 12-Hour Summer 25.6 0524 13.6 0924 Harmonic Autumn 30.9 0418 19.4 0724 Spring 8.3 0518 13.3 0754 8-Hour Summer 6.3 0618 2.8 0100 Harmonic Autumn 1.4 0124 1.8 0254 Spring 14.0 1400 3.2 0512 -40- .1,1 1inw1,1ill awl ~yULUll__i~J___YII~ Two seasons of data from Waltair were analyzed. for summer are shown in Figures 17a and 17b. The results Both figures show the distribution variability that was in evidence at Yamagawa during the same season. The prevailing wind components are Tidal motion is present 1 m/sec westerly and 24 m/sec northerly. in both figures. The variability of the distribution makes it difficult to determine this tidal influence. Unlike Yamagawa, the data from Waltair for the autumn retains the variability in its distribution (Figures 18a and 18b). However, there is a summer-to-autumn reduction in the magnitude of the tidal effects at Waltair, similar to the summer-to-autumn change at Yamagawa. The prevailing wind components are 14 m/sec easterly and 12 m/sec northerly. Rostov had only one season (Figures 19a and 19b) with a sufficient number of observations to show diurnal wind variations. A variability of the distribution, similar to that seen at Waltair, is shown for this season. The prevailing winds are 13 m/sec easterly and 14 m/sec northerly. are present in both figures. Tidal influences It is difficult to estimate which tidal components are present because of the limited number of hours represented and the variability of the distribution. The main influences appear to be from the higher order components of the tide. -41- Two seasons of data from Mayaguez are shown in Figures 20a through 21b. The diurnal wind distributions are for the daytime for both seasons. In each figure the distributions are fairly well concentrated. The prevailing wind components are 5 m/sec westerly and 25 m/sec northerly in the winter; they are 18 m/sec westerly and 16 m/sec northerly in the spring. A nighttime wind variation for summer at the Pennsylvania State College is shown in Figures 22a and 22b. The prevailing wind components are 11 m/sec westerly and 1 m/sec northerly. Some evidence of tidal effects may be seen in both figures. However, the period of coverage is too short to give a clear picture of the tidal influence. -42- N 00 E 900 Spring S 1800 W 270" N 3600 S 200 LA I 1'80. 12 14 11,30 Fi-guroe 11,00 12a: 16 18 20 (After IIarnischmachor, 2? 24 MEZ 1)93) 23,30 MOZ. 23,00 T. U N 0Summer S ! 4-, K''44" 4 1 44-e 41 ,ll 7 .& 44 K' ,.. W270* ' pI 3 I * I II 3 71~----~-(~~ 9-- g ,, 4 2# sec. 200- 4 160 - ~ ~ - Al1 -- - 3 I ,I -.~1 CcJ; C,; -' - F-. '. - --r. I 1 r t I 1 4 ) )-, S" ~i .. S. I -I L-( I~ ;45I -- --~ I~--k--l~-~-t-~Y--"~-V-~LYG-~~ ! ---i----~--- 77 q - ,' ' I I A# q 1 i iYljjiZIi77lllllf I (i Z 4.. I i r 1, ...... .. r '-- -i- I ~ I 7,11 ~ I 4 1~(;1~1L~IZ131-ICf ---- 140- II --r Aal 1 TT~~ ii IF I 100 ~ I r.l. r r,€. At 26 1 '44 -'--r-4- L4g 60. r7 l 40 'fli ,) W I 2 . 4I +..<.D. ,.,-, -3 14 41. I II I I ------ 1 I'-'--ii -- I r I i i "'f -- 4 -- -- +- -fr- 4- 11 i 3i. '10 t "7 i 2', 4q S Ak_ ~9. , 4, - I in,-i 45 I70 -- -- ~--I I 4t~'71, 41:t ---Al .4JA . I ~ I lEa. I V ( & i ---- i-----l-----,- ' Al . I ,, '- " I i -4-- 43 L f ~..- ;-f------1i7~F7i77V717 L 2A; -9- I, I 20 ~~YIZ P 1._ A I 80- (-.--~- )----1---~--1----I---E---I--- i VJ-~C-l '-I 'I-tTrt~T-l-T~-ll.~~-~~---rpl-1--~-l--r-I . j.l, I '~ t 1----~ ' 1------1-----1------1 1 ---~---1---1----1---r I I I J ~-----i-----~----I------I I I --2 II I I. -I _.-I" - I 1 r- -I I - --- I --. -I------i-----l r -- 1-- 120- 0 , , '' r ,i;ce 4)1, l.i' ;L" q i I, I~-I t. c--; I ~ll-;l-i~ .;--r--r I ". -- S... VL 180 - o0 !: 1 -~rr -1 3 ii Vi I:- .4' 4t -~1 t-5. $ IT 1--_ • I i '.I- ' -- -,1: t ,A& . SC .7- IC , ,44 ,I -4 . S 10so I S, l sA B . - - t1- S. 43 E Sommer 0 1 -- 4C -t , 0 -., AO--, -- 3. 0'lt~ AR. -e-- "94 4 -4--, --- At \ '41, / .4 4*4 * t I --- 1Y I 1 .4i- f -- ..I . i - _____ I 10 12 11,30 11,00 14 Fi'i t r 16 o 12b: 18 (Afto 20 Iarnischoacher, 2' 1933) 24 MEZ. 23,30 MOZ. 23,00 T.U. Autumn E N 9 900 - -fo- S 18O E Herbst - W2700 - N 3600 (-a)200 sec. I 180 - 12 11,30 11,00 14 Figur i. k8 12c: 20 (After Harnischmacher, 22 24 MEZ. .2330 MOZ. 1953) 23,00 T. U. E Winter N E WS, (m I se . / 1- o 02 4 6 8 10 12 0 11,00 14 Figure 12d: 16 18 20 (After Harnischmachr, 22 1953) 24 MEZ MOZ. 23 23,00 T U Number of Observations: 18 i 160 20 17 11 I i 1 12 11 15 1 E 22 25 broken line: mean values westerly motion: positive t 7 (0 80. 0 1 -Irtlsocj . [ 1 I -80o -80 1 I 2 9 8 10 (local Time) Figure 13a: Diurnal Variation of the West-East Component at Yamagawa (Jan-Feb-Mar) 4P 4 0 O 18 Number of Observations: ~--~ -- 18 20 17 1 12 11 15 25 22 14 i--? -~ broken line: mean values southerly motion: positive 16o 120 & 0' 0 - q e 0 ( M/ec) -40 -80 0e 7 . 'V 0 0 -120 -.160 10 (Iocal Time) Figure 13b: Diurnal Variation of the South-North Component at Yamagawa (Jan-Feb-Mar) ' 66 eca' 0g Number of Observations: 28 25 37 35 12 15 15 21 17 17 21 22 22 22 17 14 16 broken line: mean values westerly motion: positive 160 120 80 40-6._-- 9 * S 7 + ; .,.,++ + +,. - - • . .--+ - ~ia-.iY hC-. I ),. I 4o040 J,/- .+_,"Ce , C c el e, + 7 C- + o e., , e , i; c 3. 9 -40 C c e, vc V + ,+ I-~:, C' e C 3 ~ C +++' • o@. 3 5r tL g- . C co --- -~ I + it c r--C~C~~r $1 v el t a .80 -120 Figure 14 a: 12 14 16 (local Time) 18 20 Diurnal Variation of the West-East Component at Yamagava (Apr-May-June) I+C+ c VY (FC 10 C'+ , 24 H H r 0 050 C''- co' Z 4Q oasil. cj 44) 0i j-H 00 t- ;4 -. * cu OpI , cu V : 1i co> 4) *r r 0 1* A i 2S (oas/m) -51- u a m O0 .. o (,* (o0 00 b * * .-# B I I 'be a t i i i r i A u 0 0 43 I 41 41 o i-I 0 cu t r( avi W4 Eso 043 ii, H cn cv. p ,r a 0d Sb - a 9.. Vl. ~Q o a .bfJ.. a . A DOOO~c C~ tco * Bkok oa 4 w Cs o :: 'P4 *.0 so -b o b.. - 0 1. a0wp oes **oo amrn e *** ~ 1G4~sa aou ~. C o4.0q * e~a s 94 E . .b'4 4. o%v .4N ~00Q~~~OhEs S* kbo~oioobkkbb *aoQj ' a~ i"o~e *00 ) DO. go . . . 0/ -52- 4 0 * o 0* . .. . o o II +3 P4 :04 *i ; 1 Thn~bez, of Observations: 20 20 U 23 22 19 3T 20 14 11 10 broken Ane: *1* veBterl.y i6o J20.-~ b e I * * * I 0 'I o * 6 0 0 * 0 o * I 1& 5 ~ I 8. 0 e * . 0 0 V.-. -40 -80 0 .0 ~ 0- 0 6 -g 3 0 0 -120 0 9 * S 4 5 .0 *. -i6o 8 12 Figure 1 6 a: 14 16 (local Time) 18 20 mean values positive lIDtiofl: 22 Diurnal Variation of t~ie West-East Component at Yamagawa (0ct-Nov-L~c) 00 n 0 a Ar u-I: - r. Cu, I 8 43 .. FA V,4 a0 IioO ~ 0 .... 410,0 ge oressehone ....... ** o O~ \ess ~ 00 0 o o Q 40 o 000o (0-/m -54- ' Of-t 1v o V 1, 'O4 e \Eb C , 0 0 . r4 'a Co i-I- o 0 qiCApS rqU Cot OD i alr~k too f 48 03 10 -a u cj 0 4b r a to ca OM1 4 iW~ . *Cu 0 i~~tbo oo o o 03 oo 00 0010 I toO ~Q QUij *~ I,-L Ot o? ".43 f; .31 ~pO9 4 L~h Q to hlfr ai Tio Lo to 0 00 iir 6~c oc .OHr (Dos/m) -55- a *r 4bY D O * .. e 16%0 &.9I Lo 40 0 3 3 c 4-1 g 4, ) c1*iu Number of Observations 18 1 188 218 17 13 10 13 17 18 16 9 12 17 l ~------- ll~----~-- r~-----CII ~ ---- 12 14 ---I-LC --- CI~--~-CC _ - 13T~-- - 10 - broken line: mean values southerly motion: positive c...-c- 160 - - 120 ----------- - I ------ T o 80 a 00 .0 bI C o o a 8 * 0. a a -40o 6- .0 v 17 -120 o o sd * ---v.* 0 o * a *' o o * %: , Lv 0 4 0 * --. * Lv 4 6 - I a ~~~ 6 o * - 8 S4 a '- o *o a - 0 -16o If Figure 1To: 6 8 10 12 14 (local Time) Diurnal Variation of the South-North Component at Waltair (July-Aug-Sept) 16 18 20 U'% a'. '.D IS M 0> 4 4- g'd 2 a.A. - l lwt (a Du * to lob 0 L o so **064 OS> e* 0*0 r f'. 0. # ~, I too 0 60 p. o . ..- (oas/uz) -57- ~I g tat r. La \r 'a 0 I4-- 0 *N -* H -41 01 A 0 4-1 0o 440 4., CA 4 CY 0 43 0 0 ~; 100 (1 P(4.C0 0 oo ~t.. -58 1*0 0'4 apo u S l 0 ~ S3 0 q4 .1-I0 I Number of Observations: 22- 23 17 23 19 12 22 11 broken line: mean values vesterly motion: positive 160 120 80 I V 40 * 4 * 4 * 4 o 0 4O 0 LD LO I . 1 -80 4 0 e & * 0 -120 5 -160 8 10 12 14 16 (local Time) Figure 19a: Diurnal Variation of the West-East Component at Rostov (Oct-Nov-Dec) - -- ~'~~I~~ --- ~ --- ~~" ~~-'-'~-- '~~ "'~ '' 18 Number of Observations: 22 23 19 23 17 12 22 11 broken line: mean values southerly motion: positive 1o 320 C -- e *C SC * -40 eLLT o C -120 * Ch C 5, a a c 4 r 4, j i83 o 5 ca I S S . -160 10 (local Time) Figure 19b: Diurnal Variation of the South-North Component at Rostov (Oct-Nov-Dec) Number of Observations: 15 14 14 12 19 broken line: mean values westerly motion: positive 160 120 40 0r 7 7 1 -3y 7 -4o -80 -120 10 (local Time) Figure 20a: Diurnal Variation of the West-East Component at Mayaguez (Jan-Feb-4ar) Nunber of Observations: 14 __)_ _I _ 12 19 broken line: mean values southerly motion: positive 16o 120 80 t -80 7 0 0c 7 0 5 -120 10 (Local Time) 2 Figure 20b: (Jan-Feb-Mar) Diurnal Variation of the South-North Component at Mayaguez I Number of ObBervations: 11 11 13 16 I * .~ ~: 1t~ broken line: mean valueB vesterly ~tion: pouitive . * 120 * . 4 * 'p 4. '4 'p I -80 If 6 10 (local Time) - 12 21a:Vaxiation of the West-East Component at Msye~uez (Apr-MEIy-June) Figure 1)iurnal . p I I Nunber of Observations: I. broken line: .. 16 I , 120 18 11 11 13 16 * . i . I . ! "I. mean vilues southerly motion: .... positive • • .l!,I.,__~C-C-i . 0 I* ' !r . , " -- r.~-- _.. .. . ... --- . C-~ Cl -- .. . ~I-l-- . - -C- 0o . ----- -- t - -80.., - ° 6 2 Figure 21b: 80 2" 8 8 10 (Incal Time) 2 1 (Apr-May-June) Diurnal Variation of the South-North Component at Mayagruez _ ___ , ~..- .~ --------------- -- -- -- - - -"- Nmber of Observations: 11 15 14 I... I 80 12 14 13 8 13 . -- 13 - 9 broken line: mean values westerly motion: positive 60- 20- -20 -. 07*~- o'V-If-) 7 0 7.o a ~~~ -tll i. S Q -80 2 (Local Time) Figure 22a: Diurnal Variation of the West-East Component at the Pennsylvania State College (July-Aug-Sept) Ilumber of Observations: U 15 14 13 14 U 8 12 13 9 13 I I I I . ~ brdkeii1Im~ 1 Ue8Z1V~lUO8 r "DDtiQfl £0' :1:. a I... *1 *1 I 40 .7 . . ... 1 *'2 .. - I; .I. . , 1*' . 0~ 0V% IC, 6) - - ---.--- ~--- -. .: .... -#- I ~I 18 - (local Time) Figure 22b: 77, I1171~~*~~*~~~~~i~ Diurnal Variation of the South-North Con~onent at the Peimaylvania State College (July-Aug-Sept) B. Height Profiles of the Zonal Wind Figures 23a through 23f were obtained by averaging the observations at a particular station over the summer (April through September) and winter (October through March) at the local time of each station. The averaging was accomplished for each height starting at 95 km and continuing for each 5 km up to 115 km. The results were then averaged around every latitudinal circle. and 700 latitude. O1 All observations occur between 70 latitude Isolines refer to zonal motion in m/sec and are positive for westerlies. During the morning the motion is generally easterly in the winter and westerly in the summer at 95 km (Figures 23b and 23c). In the afternoon the motion is easterly in both seasons below the 500 latitude (Figures 23d and 23e). In all figures except as shown in Figure 23d, the motion at 100 km and 105 km is independent of season below the 400 latitude. The figures show more variability at 110 km and 115 km with a generally westerly motion in both seasons. This variability should be expected since the number of observations are least at 110 km and 115 km. -67- Winter Smrer , ,_ ... - 115 . u4 43l N100 . . 6D 40 (tite.! - .. 0-6 , +11 -,.:, ,-. .r : :.:h."" :Lttue i' 20 (0e 20 - 40 (Der~esof Latitude ) Figure 23a: - .. 20 .. .. . .:.. It's 6. . :.:., " .. 11 > -. e.. : - . ,).. 110 I~~E no _I . Height Profile of the Zonal Wind at 0000 Local Time 60. - Sumer Winter 115 e L" '' i" ,,I-43 ,... - :.i! t .. - •--:. _ i6, - ,- . . .... iC.:TS :;Y ___ . .- .- 95 " "Cf"j ..... •.: ,4"-- , - .... - i .- 0 t. .. -.. i - ,. ..; - . , -- - , .j,.-,=i; _. .- ... . ... at #AIfore p.ud -403 6-b10 FigueHightProfle 23: 0 cT V. 2 (Degres of Ltitude f th . ZnalWhidat 000 ocalTim i l - -5. ., . . __ 4 '77: .. ~*~* ~ ~Q r 4. 0r UTHBT HM~ -70- ,. . 00 ~:~4V 0q cu 3 Winter oUmner 115 -,, no 105 -7 , .77 100 ., I . i • "'4.":'' '"*. ..-' -r r :" .. f4 " . " -. .~ 3 / A-a ;! :. 95 6o 4o 20 o 20 (Degrees of Latitude) Figire 23d: Height Profile of the Zonal Wind at 1200 Local Time 40 60 Winter Summer Figure 23e: ILI Height Profile of the Zonal Wind at 1600 l 100 local Time -.7 zooo 2e: Figue High (Degrees of Latitude)* Proileof te Znal indat 100 ocalTim gr 3-15 ... f y 60 io io " 7. -,t ,t 'L " 4l ?rr o •(Degrees ... _. . ...._ of Latitude) .7. Io bo o Summer Winter 115 110 , 0o5 100 95 (Degrees of Latitude) Figure 23f: Height Profile of the Zonal Wind at 2000 local Time C. Height Profile of the Prevailing Zonal Wind A height profile of the zonal winds in the lower E-region is shown in Figure 24a. It was obtained by taking the point- for-point average of Figures 23a through 23f. A set of height profiles was also made from observations grouped according to universal time. The average of these figures is shown in The two sets of observations were generally dis- Figure 24b. The differences between Figures 24a and 24b give an similar. estimate of the error caused by incomplete coverage. The sim- ilarities give an estimate of the prevailing zonal wind in the lower E-region. Figure 24a was obtained from 2441 observations and Figure 24b was obtained from 2463 observations. At 95 km the motion is westerly above 200 latitude in summer. It is easterly at all latitudes in the winter with a maximum at about 200 latitude. The prevailing wind at 100 km between 200 and 500 latitude is westerly in both summer and winter. Maxima of the westerlies occur about 500 latitude in the summer and about 300 latitude in the winter. There is a westerly maximum about 300 latitude in both seasons at 105 km. In winter the motion is easterly above 400 latitude. At 110 km the motion is westerly in summer with a maximum about 400 latitude. It is not clear which zonal motion predominates in winter although it is probably westerly to 400 latitude. The motion is generally westerly in summer and easterly in winter at 115 km. -74- Sunmer Winter • 115 110 - 105 100 95 60 Figure 24 a: 40 20 0 20 (Degrees of Latitude) Height Profile of the Prevailing Zonal Wind ___ _ _I __ I_ Winter Sumer .. ..... :q: ,.F.. "--: . " -,--".-i-'= 110 *1 .........-:......................"................. ~14 Z11 7 ! d. - . 0., 7 :7 a4: 10) c-I ;-I . .. . -. I?;: tJ1 i i:.1.'.J;Y -: 95 I" .. . . t" "lR . . . .IT":jY ' , < ; 1 7-. ! (Degrees of Latitude) 0 ":1-B.~Fl~i e II 60 Figure 24b: 40 20 (Dges 0fItiue 20 Height Profile of the Prevailing Zonal Wind ..~ 40 .I. 60 D. Height Profiles of the Zonal Motion Without the Prevailing Component The prevailing wind (Figure 24a) is subtracted point for point from the total wind (Figures 23a through 23f) to give the diurnal variation of the tidal motion (Figures 25a through 25f). In the summer the large region of easterly motion at 0000 LT (Figure 25a) is considerably reduced in magnitude and scope by At 0800 LT (Figure 25c) this region shows 0400 LT (Figure 25b). strong westerlies. The westerlies are weaker at 1200 LT (Figure 25d) with parts of the region becoming easterly again. At 1600 LT (Figure 25e) the region of westerly motion intensifies but the general shape of the region remains the same. A strong easterly region appears at 2000 LT replacing the westerly region in the previous figure. Figure 25a shows that the motion is westerly below 400 latitude in the winter. the summer. This is basically opposite to the motion in There is almost a complete reversal in the motion four hours later above 105 km, as shown in Figure 25b. the easterly region intensifies. Below 105 km At 0800 LT (Figure 25c) the motion is strong easterly below 300 latitude. By 1200 LT (Figure 25d) the motion is almost entirely easterly and of lessened intensity. Figure 25e shows that easterly motion again becomes intensified with a strong westerly motion appearing at low latitudes above 100 km. The motion is almost entirely westerly in Figure 25f. -77- Winter Summer 115 110 .105 1./ 100 95 60 60 Figure 25a: 40 20 20 0 (Degrees of atitude) Height Profile of the Zonal Wind Without the Prevailing Component at 0000 Local Time Winter Summer 17; .,3 sy 110 s", r. ,: • . -w l 43 105 L.. "i . -..4- "' :r o ,- - ,. i 100 -9 at0400 local - 4 --. Time i 95 60 (Degrees of Latitude) Figure 25b: Height Profile of the Zonal Wind Without the Prevailin at o400 Local Time Component Summer Winter " 115 t.: • '..t -- '.-: 110 ,, . ..T ,.7P.;' r~ ~ lo i II - -,a i i " .... .. t ,. ; -4- r -4 "I. 105 V:4 ----i-woo -", 100 . 95 60 40 0 20 20 40 60 (Degrees of Latitude) Figure 25c: l-L Height Profile of the Zonal Wind Without the Prevailing Component at 0800 Iocal Time f _1L J Winter Sumer .... .1 ... 4.. 315 ~ ___ 7::3t i ,,,t ': 1711Il~i t eAV 4.,1 -rr-? _4.4 "ftr-~ii I L1: 1 "L 4-'- ii tiii4i ~ " - r-r11t''~ t r?;li ... I I i ''.rcry: e i, tr; tt )(t ~l ft~jIi-, i iii i I I I IiiP~ C -:t {Z7 : i RA RIL 1C1' ii JLiiliFi ........ .. . .... .. -.. . :: .- .19 105 i. I 100 . ~~ . 95 . . ~... .. ~ ..4 = ~ ,! ~ ,. _7 At t. . I~ J4~+Ji~ 1 I Ic t: 1:-I ---- i . ..~ 1 ,k1 .. zlI . , . ' i.": ' " . .......f:: ........... -- t,Tf ii "t , - t r I I 11i . ~~lf; 1~11-t:k; iil:: 0 (Degrees of Latitude) Figure 25d: Height Profile of the Zonal Wind Without the Prevailing Component at 1200 local Time jtfrl Winter Summer Pit 115 -- i it i. t i t.... lP' 'TT 1101 . .. ....... 95.. Figure 25e: ... P- off -- i . .. Latitude L Height Profile of the Zonal Wind Without the Prevailing Component at 1600 Local Time Summer LIB 115 -T, I1.k r- ? -r- - Winter - -r--~---- -- ---. r4 w - I-- I- 11 110 40 *9 105 100 95 0 20 40 60 (Degrees of Latitude) Figure 25f: Height Profile of the Zonal Wind Without the Prevailing Component at 2000 Local Time E. Hemispheric Zonal and Meridional Prevailing Motion Figures 26a and 26b show the hemispheric zonal prevailing wind in winter and summer. Figures 26c and 26d show the pre- vailing meridional wind for the same periods. The location of each station given in Table 1 is shown along with the number of observations and value of the motion. In addition, the results from Jodrell Bank (Greenhow and Neufeld, 1961) have also been placed on the figures. This has been labeled JB in the figures. It is seen in all figures that the results obtained from Jodrell Bank are in good agreement with the data analyzed in this thesis. The general outline of the zonal prevailing wind is towards strong easterlies or weak westerlies in winter. The summer zonal motion becomes strong westerly or in some cases weak easterly where it had been strong easterly (Figure 26b). There was a certain amount of freedom in drawing the isolines. However, there is the appearance of standing waves in the figures. This is more true in Figures 26c and 26-d, which show the meridional prevailing wind. The position of the standing wave remains consistent from winter to summer. or two (or both). -84- The wave number may be one Figure 26a. Hemispheric Map of the Prevailing Zonal Winds in the Winter -85- Figure 26b. Hemispheric Map of the Prevailing Zonal Winds in the Summer -86- Figure 26c. Hemispheric Map of the Prevailing Meridional Winds in the Winter -87- Figure 26d. Hemispheric Map of the Prevailing Meridional Winds in the Summer -88- CHAPTER IV. CONCLUSIONS The data from fifteen ionospheric sounders has been used to determine the general circulation in the lower E-region. Evidence was presented to indicate that the motion determined by radio propagation techniques coincides with the neutral wind up to approximately 110 km. The diurnal variations of the wind determined at selected stations show that the wind is fairly stable from day to day during the spring and autumn. There is considerable variability of the wind during the summer and winter. is implied from the data. Strong tidal influence A more complete analysis must be made, however, to determine the magnitude of this influence. The height profiles of the wind show the variations with latitude throughout the day. Superimposed on the prevailing component of the zonal wind is motion that shows considerable variability throughout the day. the tidal oscillations. These variable motions are The prevailing zonal wind is generally westerly in the summer and easterly in the winter. -89- With due consideration for the number of stations, the hemispheric maps show the apparent existence of standing waves of low wave number in both summer and winter. The magnitude of the prevailing motion is generally greater in winter than in summer. The hemispheric maps also show that the prevailing wind is easterly in the winter and westerly in the summer. This has been a preliminary study of the general circulation in the E-region. No definite statement may be inade about the upward propagation of energy due to the limited number of observations available. Further studies are definitely needed. More observations at individual stations, such as obtained by Harnischmacher (1963), will allow the study of the momentum transports in this region,as Jones (1963) was able to do with the meteor wind data. -90- ACKNOWLEDGEMENTS The writer would like to express his gratitude to Dr. K. Tsukamoto, Professor D. G. Yerg, Professor B. R. Rao, and Professor H. S. Lee for providing their data. Special thanks are due to Professor R. E. Newell for his guidance and useful suggestions during the course of this study. The writer would like to thank his wife, Jo-Anne Fedor, who reviewed and typed the manuscript. -91- BIBLIOGRAPHY Aono, Y., K. Tsukamoto, and M. Ichinose, (Ed. Com.), 1961: IGY data of ionospheric drifts at Yamagawa in Japan. Nat. Committee for the Internat. Geophy. Coord. Sci. Coun. of Japan, December, 1961. 1963: The formation and vertical movement Axford, W. I., of dense ionized layers in the ionosphere due to neutral wind shears. J. Geophy. Res., V. 68, 3, pp. 769-779. Bowhill, S. A., 1956a: The fading of radio waves of frequencies between 16 and 2400 kc/s. J. Atmos. Terr. Phys., V. 8, pp. 129-145. Bowhill, S. A., 1956b: The ionospheric irregularities causing fading of low-frequency radio waves. Scientific Report No. 89, Ionosphere Res. Lab., The Penn. St. U. The Briggs, B. H., G. J. Phillips, and D. H. Shinn, 1950: analysis of observations on spaced receivers of the fading of radio signals. Proceed. of the Phys. Soc. of London Series B, V. 63, pp. 106-121. Briggs, B.H., and M. Spencer, 1954: Horizontal movements in the ionosphere. Rep . on Prog. in Phys., V. 17, pp. 245- 280. Briggs, B. H., 1960: Survey of ionospheric drifts. General Assembly, London, pp. 219-239. URSI XII Ionospheric drifts Burke, M. J., and I. S. Jenkinson, 1957: 3, pp. 378-386. 10, V. Phys., J. Aust. at Brisbane. Propagation of Charney, J. G., and P. G. Drazin, 1961: planetary-scale disturbances from the lower into the upper atmosphere. J. Geophys. Res., V. 66, 1, pp. 83-109. 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Report No. 8, 7 January 1963, Plan. Circ. Proj. Meteor. Dept., Mass. Inst. of Tech. Yerg, D. G., 1959: An analysis of drifts of the signal pattern associated with ionospheric reflections. J. Geophys. Res., V. 64, 1, pp. 27-31. Yerg, D. G., 1961a: Analysis of diffraction patterns on the ground caused by ionospheric irregularities. Scientific Report No. 1, Mich. College of Mining and Tech., ..March 1961. Yerg, D. G., 1961b: Analysis of diffraction patterns on the ground caused by ionospheric irregularities. Scientific Report No. 2, Final Report, Mich. College of Mining and Tech., June 1961. -94-