Deduction of temperature profile from MST radar observations of vertical wind

1996 ◽  
Vol 23 (3) ◽  
pp. 285-288 ◽  
Author(s):  
K. Revathy ◽  
S. R. Prabhakaran Nair ◽  
B. V. Krisha Murthy
Keyword(s):  
Temperature Profile ◽  
Vertical Wind ◽  
Radar Observations ◽  
Mst Radar

scholarly journals Adaptive Beamforming Technique for Accurate Vertical Wind Measurements with Multichannel MST Radar

2012 ◽  
Vol 29 (12) ◽  
pp. 1769-1775 ◽  
Author(s):  
Koji Nishimura ◽  
Takuji Nakamura ◽  
Toru Sato ◽  
Kaoru Sato
Keyword(s):  
Signal To Noise Ratio ◽  
Adaptive Beamforming ◽  
Vertical Wind ◽  
Constrained Minimization ◽  
Horizontal Wind ◽  
Signal To Noise ◽  
Mst Radar ◽  
Vertical Beam ◽  
Noise Ratio ◽  
Beamforming Technique

Abstract Aspect-sensitive backscattering of the atmosphere causes a small error in an effective line-of-sight direction in vertical beam observations leading to a serious degradation of vertical wind estimates due to contamination by horizontal wind components. An adaptive beamforming technique for a multichannel mesosphere–stratosphere–troposphere (MST) radar is presented, which makes it possible to measure the vertical wind velocity with higher accuracy by adaptively generating a countersteered reception beam against an off-vertically shifted echo pattern. The technique employs the norm-constrained direction-constrained minimization of power (NC-DCMP) algorithm, which provides not only robustness but also higher accuracy than the basic direction-constrained minimization of power algorithm in realistic conditions. Although the technique decreases the signal-to-noise ratio, the ratio is controlled and bound at a specified level by the norm constraint. In the case that a decrease of −3 dB is acceptable in a vertical beam observation, for which usually a much higher signal-to-noise ratio is obtained than for oblique beams, the maximum contamination is suppressed to even for the most imbalanced aspect sensitivity.

Doppler Radar Analysis of the Eyewall Replacement Cycle of Hurricane Matthew (2016) in Vertical Wind Shear

2021 ◽  
Author(s):  
Ting-Yu Cha ◽  
Michael M. Bell ◽  
Alexander J. DesRosiers
Keyword(s):  
Wind Shear ◽  
Doppler Radar ◽  
Vertical Wind Shear ◽  
Radar Data ◽  
Secondary Circulation ◽  
Vertical Wind ◽  
High Temporal Resolution ◽  
Radar Observations ◽  
Eyewall Replacement Cycle ◽  
Replacement Cycle

AbstractHurricane Matthew (2016) was observed by ground-based polarimetric radars in Miami (KAMX), Melbourne (KMLB), and Jacksonville (KJAX) and a NOAA P3 airborne tail Doppler radar near the coast of the southeastern United States during an eyewall replacement cycle (ERC). The radar observations indicate that Matthew’s primary eyewall was replaced with a weaker outer eyewall, but unlike a classic ERC, Matthew did not reintensify after the inner eyewall disappeared. Triple Doppler analysis was calculated from the NOAA P3 airborne fore and aft radar scanning combined with the KAMX radar data during the period of secondary eyewall intensification and inner eyewall weakening from 19 UTC 6 October to 00 UTC 7 October. Four flight passes of the P3 aircraft show the evolution of the reflectivity, tangential winds, and secondary circulation as the outer eyewall became well-established. Further evolution of the ERC is analyzed from the ground-based single Doppler radar observations for 35 hours with high temporal resolution at a 5-minute interval from 19 UTC 6 October to 00 UTC 8 October using the Generalized Velocity Track Display (GVTD) technique. The single-Doppler analyses indicate that the inner eyewall decayed a few hours after the P3 flight, while the outer eyewall contracted but did not reintensify and the asymmetries increased episodically. The analysis suggests that the ERC process was influenced by a complex combination of environmental vertical wind shear, an evolving axisymmetric secondary circulation, and an asymmetric vortex Rossby wave damping mechanism that promoted vortex resiliency despite increasing shear.

scholarly journals A study of tropical tropopause using MST radar

2005 ◽  
Vol 23 (7) ◽  
pp. 2441-2448 ◽  
Author(s):  
K. Satheesan ◽  
B. V. Krishna Murthy
Keyword(s):  
Potential Temperature ◽  
Radar Data ◽  
Tropical Meteorology ◽  
Vertical Wind ◽  
Lapse Rate ◽  
Temperature Lapse Rate ◽  
Tropical Tropopause ◽  
Mst Radar ◽  
Rate Minimum ◽  
Cold Point

Abstract. Using the MST radar data of vertical wind, the characteristics of the tropical tropopause, following four different definitions, depending on 1) temperature lapse rate, 2) cold point, 3) convective outflow and 4) potential temperature lapse rate minimum, are studied. From the vertical wind data of the radar, the altitude profiles of temperature and horizontal divergence are derived, from which the tropopause levels corresponding to i) the lapse rate ii) cold point iii) convective outflow level and iv) potential temperature lapse rate minimum are determined. The convective outflow level and hence the convective tropopause altitude is determined, for the first time using the MST radar data. The tropopause altitudes and temperatures obtained following the four definitions are compared on a day-to-day basis for the summer and winter seasons. Winter and summer differences in the tropopause altitude and temperature are also studied. Keywords. Meteorology and atmospheric dynamics (convective process; middle atmosphere dynamics; tropical meteorology)

MST radar observations of short-period gravity wave during overhead tropical cyclone

Radio Science ◽  
2012 ◽  
Vol 47 (2) ◽  
pp. n/a-n/a ◽  
Author(s):  
Siddarth Shankar Das ◽  
K. N. Uma ◽  
Subrata Kumar Das
Keyword(s):  
Tropical Cyclone ◽  
Gravity Wave ◽  
Radar Observations ◽  
Short Period ◽  
Mst Radar

scholarly journals Atmospheric temperature profiles estimated by the vertical wind speed observed by MST radar

2014 ◽  
Vol 63 (9) ◽  
pp. 094301
Author(s):  
Qing Hai-Yin ◽  
Zhang Yuan-Nong ◽  
Zhou Chen ◽  
Zhao Zheng-Yu ◽  
Chen Gang
Keyword(s):  
Wind Speed ◽  
Atmospheric Temperature ◽  
Vertical Wind ◽  
Temperature Profiles ◽  
Mst Radar ◽  
Vertical Wind Speed
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