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Figure 1: Configuration of a high-gain antenna and the sub-array.3 Application to High Gain ArraysHere we consider the application of DCMP-CN to the case of a high-gain antenna array consistingof several hundred elements. In such a case, it is not practical to control all of the elements.Instead, we select several antennas at the outer edge of the array to configure a sub-array, andonly control the weights of its elements as shown in Fig. 1, keeping the weight of the main arrayoutput to 1. In the radar application, the main array is used both for transmission and reception,and the sub-array is used only for reception. This configuration is useful in suppressing theclutter echoes of existing radar by adding several receiving antenna elements. In this case, theoutput power is rewritten asÈ ÓÙØ ½ ¾ Ï À Ê ÜÜ Ï ½ ¾´Ü ½Ü £ ½ · Ï À ¾Ò ¾Ò Ü £ ½ · Ü ½ À ¾ÒÏ ¾Ò · Ï À ¾Ò Ê ÜÜ Ï ¾Ò µ (10)where subscript 1 denotes the output of the main array, and 2 to Ò correspond to sub array.Since the constraints are given only to the sub-array elements, the problem is expressed asÈ ÓÙØ ¾´Ü ½ ½Ü £ ½· Ï¾Ò À ¾Ò Ü £ ½· Ü ½ ¾ÒÏ À ¾Ò · Ï À ¾ÒÊ ÜÜ Ï ¾ÒÑÒÏThe cost function is then given by×ÙØ ØÓ Ì ¾ÒÏ £ ¾Ò À ² Ï À ¾ÒÏ ¾Ò Í (11)É ´Ï µ ½ ¾´Ü ½Ü £ ½ · Ï À ¾Ò ¾Ò Ü £ ½ · Ü ½ À ¾ÒÏ ¾Ò · Ï À ¾Ò Ê ÜÜ Ï ¾Ò µ· ´Ï À ¾Ò ¾Ò Àµ´ À ¾ÒÏ ¾Ò À £ µ·´Í Ï À ¾ÒÏ ¾Ò µ ¾ (12)4 Observations438We applied this algorithm to the data taken with the MU (Middle and Upper Atmosphere)radar. It is a large atmospheric radar with a flexible active phased array antenna consistingof 475 Yagi-Uda antennas. The antenna array consists of 25 groups of hexagonal sub-arraywith 19 crossed 3-element Yagi antennas. A transmit/receive module is connected to each Yagiantenna. On reception, RF signal of 46.5 MHz is converted to IF of 5 MHz at each module, andthe output of 19 modules are combined at each group. Combined IF signals from 25 groups
N#4E-1-16E1A1#1#2A-1-1C1#3C-1-19Figure 2: Antenna position for observation.are sent to the control building, divided for 4 receiver channels. Each receiver can select andcombine output from 25 groups at an arbitrary selection.We made an experiment making use of this flexibility. Output from all groups except for 3groups at the outer edge of the array is fed to a receiver as shown in Fig. 2. For the rest of 3groups, only one antenna is activated in each group, and connected to three receivers.Observation was made for about two hours of 6:45–7:56 JST and 17:18–18:21 JST on 26December 2002 with 1-sec pulse transmissions at 400 sec intervals. The antenna beam wastilted 10 Æ from the zenith, and tropospheric echoes were sampled from 1.5 km to 9.6 km heightregion at 150-m sampling intervals. The received time series was averaged for 19 pulses foreach range gate and recorded for off-line processing.5 Clutter Suppression Using Real DataHere we use the above data to examine the effectiveness of our proposed algorithm. The entireantenna array is regarded as the main antenna, and three antennas connected to other threereceivers constitute the sub-array. The weight of the main channel is fixed, and the complexweight of the output from other three channels are varied so that the clutter echo is suppressed.By controlling the weight of only the sub-array, complexity of the adaptive processing is drasticallyreduced. Also, this system can be easily applied to existing radar systems.The maximum constraint of the weight norm Í is set to 0.5. In generating the covariancematrix Ê ÜÜ , instantaneous samples are averaged with a forgetting factor of ¬=0.997, whichis roughly equivalent to take the average of 1,000 samples. The appropriate values of Í isdiscussed in more details in section 6.Fig. 3 shows an example of the echo power spectrum. The spectrum was generated byapplying 128-point FFT to a time series of 9.7 s after coherent integration of 190 pulse samples.No incoherent integration is applied. The vertical scale is in an arbitrary unit, and the galacticbackground noise level is about 100dB. The dashed line shows the original spectrum withthe main antenna. The sharp spike at zero Doppler velocity is the clutter component, whilea broad peak with positive Doppler shift is the desired echo. The solid line shows the result439
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MST10Tenth InternationalWORKSHOPOn
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MST 10 Group PictureMay 15 th , 200
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TENTH INTERNATIONAL WORKSHOP ON TEC
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Table of ContentsPREFACE ..........
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I.2.18 FURTHER OBSERVATIONS OF PMSE
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I.3.27 NEW MST RADAR METHODS FOR ME
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I.4.19 STUDY OF A MESOSCALE LAND-TO
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I.5.502 AN ATTEMPT TO CALIBRATE THE
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PrefaceMST10The Tenth International
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and the local organizing committee,
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The operational aspects and recent
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To improve the understanding of dyn
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Improving MST radar resolution by u
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latitudes, arguing that the former
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Report on Session I.3 “Winds, Wav
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Turbulence.The session then moved i
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Report on Session I.4 “Meteorolog
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Multiple Antenna Profiling Radar (M
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Report on Session II “Novel Persp
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synchronized by GPS and connected v
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The highly positive response of the
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10th International Workshop on Tech
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10th International Workshop on Tech
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Session I.1: Radar scattering proce
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⎡7800 ∂q⎤(3)⎢ 15500q⎥M =
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Figure 2 compares profiles of ω B
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Figure 1: Data from the MST radar a
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Ri =shear2ωB22⎛ ∂u⎞ ⎛ ∂v
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Meridional (deg)1050−5−10Echo P
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Subarray Configuration, Capon Metho
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Fig. 2 PMSE plot (SOUSY Svalbard Ra
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VHF radar interferometry had shown
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turbulence. From Figures 1 and 2, i
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SummaryFrom the aspect sensitivity
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a specific range. In this work, syn
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P C(dB)(a) Echo Power60504030200.70
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most occidental area of South Ameri
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Quegan, 1992). It should be useful
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measurements, is shown in figure 1(
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The present observations thus empha
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RECENT OBSERVATIONS OF E REGION FIE
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measured spectra in order to separa
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drifts at E and F regions heights b
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• Are characterized by type II ec
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The main parameters that could be o
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THE ROLE OF UNSTABLE SPORADIC-E LAY
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(σ H / σ P )E y (where σ H and
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STUDY OF A LOW E-REGION QUASI-PERIO
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100 m/syrFigure 4: Geometry of the
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Where the notations carry same mean
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Where dx/dt and dy/dt are the veloc
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non-negativity of the image is prio
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spectrum corresponding to the backs
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The Artigas and Machu-Picchu Statio
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Arguments against the second altern
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Extension of the Kolmogorov spectru
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volumeESRvolumeSSRSSR SSRESR ESRSSR
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individual particles in a statistic
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Anomalous spectraTalkner [4] studie
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To observe the E region FAI echoes,
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matter daytime or nighttime and are
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two sub-arrays, each sub-array made
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4. SummaryHere we describe a radio
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Figure 1. E-region DPS4 spectra, ri
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effects. It is therefore plausible
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1996 and high in 2002). The electri
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electric fields map along the geoma
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SNR condition is always difficult a
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Figure-4 Power spectrum plots of a
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As we show below, Jicamarca offers
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particularly during daytime counter
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where ˆδ nm = (δ l − δ m )
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PMSE is more easily interpreted as
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ResultsTemperature climatology• s
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Simultaneous PMSE and NLC observati
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ResultsSeasonal variationMSE are no
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Figure 2: MSE parameters as functio
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Session I.3: Winds, waves and turbu
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poor. It was shown that poor perfor
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The use of diffraction pattern simi
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F 13 (ξ x ′) = (1 − cos 2ψ N)
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Figure 3: (a) Baseline length depen
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3. ResultsFigure 1 shows the amplit
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variability.Figure 4 shows the aver
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Figure 1. Period-time amplitude wav
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the 12-h and 24-h periodicities in
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winds and variances at altitudes 70
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similar correlation with larger mag
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of the refraction index are not equ
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Fig. 8. Zonal wind (top) and temper
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STUDIES ON ATMOSPHERIC GRAVITY WAVE
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1100-1200 hours. From this plot 6.3
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STUDIES ON WINDS AND MOMENTUM FLUXE
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3.4 Monthly variation of momentum f
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DEEP PENETRATIVE CONVECTION AND GEN
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ly changes direction with time with
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189
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191
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193
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These two last relations are the on
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3.2.1 From v ′2 to ɛ kThe questi
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5.2 Frequency distributionsSeveral
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ReferencesAlisse J.-R. and C. Sidi.
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Röttger J. and C.H. Liu. Partial r
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Specular reflection is negligible f
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−0.5C n2 Distribution (PROUST & S
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the beamwidth, α is the zenith ang
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this latitude in late April). Surfa
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Fig. 1. Median (upper) winds and (l
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Fig.1. Lines of constant radial vel
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which have not yet been considered
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is calculated from the radiosonde t
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Figure 3: Time-altitude cross-secti
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Absorption of cosmic noise is cause
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Incoherent scatter spectracompared
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variations of spectral widths, refr
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Figure 1. Diurnal variation of Turb
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further experimental test of the ST
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waves can be observed more clearly
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winter and a minimum in summer near
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The main recently assumed mechanism
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Figure 2. Statistics of numbers of
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LIDAR OBSERVATIONS OF MIDDLE ATMOSP
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latitudinal dependence of the seaso
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APPLICATION OF THE DUAL-BEAMWIDTH M
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Figure 2: Mean zonal and meridional
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JLKLLK/ILIL6II/G/II/G/LEODFLK/LO/DD
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The monthly diurnal mean of horizon
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Session I.4: Meteorological Phenome
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Integration of the VHF wind profile
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Figure 1 : Map of the Lago Maggiore
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precipitating clouds, the cyclonic
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Eyewall(a)(b)(c)(d)Fig. 3: Radius-h
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as low as 0.55. The Piura 50-MHz ra
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place features in the profile with
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• Period 1 (June 1-10): SCCs exis
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Sumatera occurs by stratiform cloud
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very interesting to note the double
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20(a) Convective Region(b) Transiti
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Typhoon LekimaFig. 2 Typhoon Lekima
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Fig. 5 Passage of typhoon Hayan on
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the 50 cm 2 sensor head, enabling t
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22 June 2000 23:22:23 - 23:24:20 at
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the time-height section of a convec
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Thurai, M., T.Iguchi,T. Kozu, J.D.E
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There are two main mechanisms which
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Horel, J.D. and Cornejo-Garrido, A.
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estimating two independent and redu
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RASS THETA (K) RASS v-component (m/
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Surface winds usually range from 10
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weak (maximum of 5 m s -1 ) and the
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The vertical component from the VTB
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Figure 8 shows the profile of virtu
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2 3D ( , ) ( ) ( ) ˆ ( ) ˆp∆ xm
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presented in Praskovsky et al. (200
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In Fig. 2 a sketch of a mountain le
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In Fig. 8 the lamina is aligned on
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Figure 1: composite day (13 days) o
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virtual sensible heat fluxes ( Wm-2
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3. Characteristics of precipitation
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Fig. 3: Horizontal distribution of
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3. Results and discussionUHF profil
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Figure 4. Monthly variation of slop
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system with two receiving antennae,
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cycle of precipitation. Figure 3(a)
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Histogram of Zonal Velocityh=5.13 K
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5. Summary of results and concludin
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the two nearby major cities, Chenna
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Boundary layer height, km32.521.5(a
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Figure 1:Data from the MST radar at
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spectral processing. In this partic
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3. Results and discussionIn the pre
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4. SummaryAn attempt has been made
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The purpose of this study is to exa
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Figure1. Three-day average of momen
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3. The improved method to estimate
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But in case of period until 1800 UT
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Session I.5: Operational Aspects an
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The profilers of WINDAS weredesigne
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NOAA, 1994 : Wind profiler assessme
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FIRST RESULTS OF THE BOUNDARY LAYER
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Figure 3. Pulse Design Diagram to s
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MOVEABLE UHF/S-BAND PROFILER/DISDRO
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one-minute Z values determined from
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TOWARD A MULTISENSOR GROUND BASED R
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3. Cloud Evolution Case StudyOn the
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DEVELOPMENT OF A DIGITAL RECEIVER F
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Experiment 1 Experiment 2IPP 999Km
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ELECTRONIC DIGITAL BEAMFORMING IMPL
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The main element of the unit (figur
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.ON-LINE ADAPTIVE DC-GROUND-CLUTTER
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esulting in a widening of the bandw
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ON THE RADIATION EFFICIENCY OF COCO
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Table 2: Experiment #1 results, Tra
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A NEW NARROW BEAM MF RADAR AT 3 MHZ
Page 393 and 394: Off-zenith beams towards N, S, E, W
Page 395 and 396: 95ALWIN VHF radar: signal powerdB80
Page 397 and 398: ANTENNA BEAM VERIFICATION USING COS
Page 399 and 400: Figure 2: A 45 MHz reference sky te
Page 401 and 402: AN ATTEMPT TO CALIBRATE THE UHF STR
Page 403 and 404: is at 4.7 km, but in the first 4-ga
Page 405 and 406: QUALITY CONTROL FOR DOPPLER WIND PR
Page 407 and 408: The resulting moments are subjected
Page 409 and 410: SOUSY RADAR AT JICAMARCA: SYSTEM DE
Page 411 and 412: NEControl andcomputer roomCompCoute
Page 413 and 414: THE EQUATORIAL ATMOSPHERE RADAR:SYS
Page 415 and 416: Table 1: Specifications of the EAR
Page 417 and 418: VHF ATMOSPHERIC AND METEOR RADAR IN
Page 419 and 420: ased upon a geotechnical engineerin
Page 421 and 422: VORTICAL MOTIONS OBSERVED WITH THE
Page 423 and 424: interpolation from the original gri
Page 425 and 426: A NEW MINIRADAR TO INVESTIGATE URBA
Page 427 and 428: e eliminated to analyze correctly t
Page 429 and 430: Session PWG 1: System Calibrations
Page 431 and 432: Session PWG 2: Data Analysis, Valid
Page 433 and 434: • the time series vectors x(k) of
Page 435 and 436: Fig. 4: reflectivity of the hydrome
Page 437 and 438: Session PWG 3: Accuracies and Requi
Page 439 and 440: Session PWG 4: International Collab
Page 441 and 442: Session II.E: NOVEL PERSPECTIVES AN
Page 443: 2 Proposed AlgorithmReceived signal
Page 447 and 448: of conventional DCMP, with which th
Page 449 and 450: applying the directional constraint
Page 451 and 452: while for a beam of finite width, t
Page 453 and 454: In order to make the process more q
Page 455 and 456: WHAT IS TURBULENCE SEEN BY VHF RADA
Page 457 and 458: Enhanced resolution applyingpulse s
Page 459 and 460: Beckmann, Spizichino, 1964Fig. 8 Po
Page 461 and 462: Fig. 11 Plots of temporal variation
Page 463 and 464: Fig. 14 Distributions of phase cent
Page 465 and 466: Hocking, W.K., Radar studies of sma
Page 467 and 468: THE STRUCTURE FUNCTION-BASED APPROA
Page 469 and 470: { Ui( t), Vi( t), Wi( t)} = { Ui ,
Page 471 and 472: 161). Assumption 2H: the instantane
Page 473 and 474: Only the second order SF are consid
Page 475 and 476: fluctuations umk( t ) along the bas
Page 477 and 478: VHF PARASITIC RADAR INTERFEROMETRYF
Page 479 and 480: • All the costs of transmitter pr
Page 481 and 482: Figure 2: Example of range-azimuth
Page 483 and 484: Target Altitude, km1009080706050403
Page 485 and 486: ReferencesGriffiths, H. D., A. J. G
Page 487 and 488: Participants ListAvery, James P.Uni
Page 489 and 490: Hysell, David L.EAS/Cornell Univers
Page 491 and 492: Silva, Robert R.ATRADAustraliarsilv
Page 493 and 494: AAdachi, A. .......................
Page 495:
TTabary, P. .......................
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