scholarly journals Variance of wind estimates using spaced antenna techniques with the MU radar

2004 ◽  
Vol 22 (11) ◽  
pp. 3863-3868
Author(s):  
G. Hassenpflug ◽  
M. Yamamoto ◽  
S. Fukao
Keyword(s):  
Experimental Data ◽  
Correlation Analysis ◽  
Error Propagation ◽  
Cross Correlation ◽  
Anisotropic Scattering ◽  
Standard Theory ◽  
Horizontal Wind ◽  
Mu Radar ◽  
Full Correlation Analysis

Abstract. Variance of horizontal wind estimates in conditions of anisotropic scattering are obtained for the Spaced Antenna (SA) Full Correlation Analysis (FCA) method of Holloway et al. (1997b) and Doviak et al. (1996), but are equally applicable to the Briggs method of FCA. Variance and covariance of cross-correlation magnitudes are theoretically estimated, and the standard theory of error propagation is used to estimate the variance of the wind components for the infinite SNR case. The effect of baseline orientation is investigated, and experimental data from the MU radar in Japan is presented.

Full-correlation analysis of turbulent scattering layers in the mesosphere observed by the MU radar

1989 ◽  
Vol 130 (2-3) ◽  
pp. 605-616 ◽  
Author(s):  
Mamoru Yamamoto ◽  
Toru Sato ◽  
Toshitaka Tsuda ◽  
Shoichiro Fukao ◽  
Susumu Kato
Keyword(s):  
Correlation Analysis ◽  
Mu Radar ◽  
Full Correlation Analysis

Full-Correlation Analysis of Turbulent Scattering Layers in the Mesosphere Observed by the MU Radar

1989 ◽  
pp. 605-616
Author(s):  
Mamoru Yamamoto ◽  
Toru Sato ◽  
Toshitaka Tsuda ◽  
Shoichiro Fukao ◽  
Susumu Kato
Keyword(s):  
Correlation Analysis ◽  
Mu Radar ◽  
Full Correlation Analysis

Projectile mass and energy dependence of multifractal detrended cross-correlation analysis of pseudorapidity space and azimuthal space in high energy nuclear collisions

2019 ◽  
Vol 28 (03) ◽  
pp. 1950012 ◽  
Author(s):  
Sucharita Chatterjee ◽  
Dipak Ghosh ◽  
Srimonti Dutta
Keyword(s):  
Experimental Data ◽  
Correlation Analysis ◽  
Long Range ◽  
Energy Dependence ◽  
Cross Correlation ◽  
High Energy ◽  
Long Range Correlations ◽  
Nuclear Collisions ◽  
Cross Correlation Analysis ◽  
The Cross

This paper studies the cross-correlation between the pseudorapidity and azimuthal distributions of the shower particles emitted in [Formula: see text]S-AgBr interactions at 200[Formula: see text]GeV and [Formula: see text]O-AgBr interactions at 60[Formula: see text]GeV applying Multifractal detrended cross-correlation analysis (MF-DXA) methodology. The cross-correlation between the pseudorapidity ([Formula: see text]) space and the azimuthal ([Formula: see text]) space is found to exhibit multifractality in case of both the interactions. The results obtained from the analysis of the experimental data were compared with those obtained for the randomly shuffled data for both the interactions, and the results revealed that the multifractality is due to the presence of long-range correlations. The study clearly indicates that the strength of the cross-correlation depends on both the projectile mass and energy.

scholarly journals Mesospheric winds measured by medium-frequency radar with full correlation analysis: error properties and impacts on studies of wind variance

2020 ◽  
Vol 9 (1) ◽  
pp. 223-238
Author(s):  
Maude Gibbins ◽  
Andrew J. Kavanagh
Keyword(s):  
Correlation Analysis ◽  
Gravity Waves ◽  
Horizontal Wind ◽  
Wind Fields ◽  
Medium Frequency ◽  
Wind Retrieval ◽  
Zonal Winds ◽  
Analysis Error ◽  
Full Correlation Analysis

Abstract. The mesosphere is one of the most difficult parts of the atmosphere to sample; it is too high for balloon measurements and too low for in situ satellites. Consequently, there is a reliance on remote sensing (either from the ground or from space) to diagnose this region. Ground-based radars have been used since the second half of the 20th century to probe the dynamics of the mesosphere; medium-frequency (MF) radars provide estimates of the horizontal wind fields and are still used to analyse tidal structures and planetary waves that modulate the meridional and zonal winds. The variance of the winds has traditionally been linked qualitatively to the occurrence of gravity waves. In this paper, the method of wind retrieval (full correlation analysis) employed by MF radars is considered with reference to two systems in Antarctica at different latitude (Halley at 76∘ S and Rothera at 67∘ S). It is shown that the width of the velocity distribution and occurrence of “outliers” is related to the measured levels of anisotropy in the received signal pattern. The magnitude of the error distribution, as represented by the wind variance, varies with both insolation levels and geomagnetic activity. Thus, it is demonstrated that for these two radars the influence of gravity waves may not be the primary mechanism that controls the overall variance.

Cross-correlation ratio method to estimate cross-beam wind and comparison with a full correlation analysis

Radio Science ◽  
2003 ◽  
Vol 38 (3) ◽  
pp. n/a-n/a ◽  
Author(s):  
Guifu Zhang ◽  
Richard J. Doviak ◽  
J. Vivekanandan ◽  
William O. J. Brown ◽  
Stephen A. Cohn
Keyword(s):  
Correlation Analysis ◽  
Cross Correlation ◽  
Ratio Method ◽  
Correlation Ratio ◽  
Full Correlation Analysis

scholarly journals Mesospheric winds measured by MF radar with Full Correlation Analysis: error properties and impacts on studies of wind variance

2019 ◽  
Author(s):  
Maude Gibbins ◽  
Andrew Kavanagh
Keyword(s):  
Correlation Analysis ◽  
Gravity Waves ◽  
Horizontal Wind ◽  
Wind Fields ◽  
Wind Retrieval ◽  
Zonal Winds ◽  
Analysis Error ◽  
Full Correlation Analysis ◽  
Balloon Measurements

Abstract. The mesosphere is one of the most difficult parts of the atmosphere to sample; too high for balloon measurements and too low for in-situ satellites. Consequently there is a reliance on remote sensing (either from the ground or from space) to diagnose this region. Ground based radars have been used since the second half of the 20th century to probe the dynamics of the mesosphere; Medium Frequency (MF) radars provide estimates of the horizontal wind fields and are still used to analyse tidal structures and planetary waves that modulate the meridional and zonal winds. The variance of the winds has traditionally been linked qualitatively to the occurrence of gravity waves. In this paper the method of wind retrieval (full correlation analysis) employed by MF radars is considered with reference to two systems in Antarctica at different latitude (Halley at 76° S and Rothera at 67° S). It is shown that the width of the velocity distribution and occurrence of ‘outliers’ is related to the measured levels of anisotropy in the received signal pattern. The magnitude of the error distribution, as represented by the wind variance, varies with both insolation levels and geomagnetic activity. Thus it is demonstrated that for these two radars the influence of gravity waves may not be the primary mechanism that controls the overall variance.

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