Melting-layer detection in tropical precipitation using polarimetric and Doppler radar signatures

1996 ◽  
Author(s):  
J.D. Eastment
Keyword(s):  
Doppler Radar ◽  
Melting Layer ◽  
Tropical Precipitation ◽  
Radar Signatures

scholarly journals Towards the connection between snow microphysics and melting layer: insights from multifrequency and dual-polarization radar observations during BAECC

2020 ◽  
Vol 20 (15) ◽  
pp. 9547-9562 ◽  
Author(s):  
Haoran Li ◽  
Jussi Tiira ◽  
Annakaisa von Lerber ◽  
Dmitri Moisseev
Keyword(s):  
Doppler Radar ◽  
Precipitation Intensity ◽  
Dual Polarization ◽  
Radar Observations ◽  
Melting Layer ◽  
Bright Band ◽  
Radar Signatures ◽  
Microphysical Processes ◽  
The Impact ◽  
Precipitation Formation

Abstract. In stratiform rainfall, the melting layer (ML) is often visible in radar observations as an enhanced reflectivity band, the so-called bright band. Despite the ongoing debate on the exact microphysical processes taking place in the ML and on how they translate into radar measurements, both model simulations and observations indicate that the radar-measured ML properties are influenced by snow microphysical processes that take place above it. There is still, however, a lack of comprehensive observations to link the two. To advance our knowledge of precipitation formation in ice clouds and provide new insights into radar signatures of snow growth processes, we have investigated this link. This study is divided into two parts. Firstly, surface-based snowfall measurements are used to develop a new method for identifying rimed and unrimed snow from X- and Ka-band Doppler radar observations. Secondly, this classification is used in combination with multifrequency and dual-polarization radar observations collected during the Biogenic Aerosols – Effects on Clouds and Climate (BAECC) experiment in 2014 to investigate the impact of precipitation intensity, aggregation, riming and dendritic growth on the ML properties. The results show that the radar-observed ML properties are highly related to the precipitation intensity. The previously reported bright band “sagging” is mainly connected to the increase in precipitation intensity. Ice particle riming plays a secondary role. In moderate to heavy rainfall, riming may cause additional bright band sagging, while in light precipitation the sagging is associated with unrimed snow. The correlation between ML properties and dual-polarization radar signatures in the snow region above appears to be arising through the connection of the radar signatures and ML properties to the precipitation intensity. In addition to advancing our knowledge of the link between ML properties and snow processes, the presented analysis demonstrates how multifrequency Doppler radar observations can be used to get a more detailed view of cloud processes and establish a link to precipitation formation.

Doppler radar signatures analysis by using joint bispectrum-based time-frequency distributions

2009 ◽  
Author(s):  
Jaakko T. Astola ◽  
Karen O. Egiazarian ◽  
Pavel A. Molchanov ◽  
Alexander V. Totsky
Keyword(s):  
Doppler Radar ◽  
Frequency Distributions ◽  
Time Frequency ◽  
Radar Signatures

Micro-Doppler radar signatures of human activity

2010 ◽  
Author(s):  
Michael C. Moulton ◽  
Matthew L. Bischoff ◽  
Carla Benton ◽  
Douglas T. Petkie
Keyword(s):  
Human Activity ◽  
Doppler Radar ◽  
Radar Signatures

Intelligent target recognition using micro-Doppler radar signatures

2009 ◽  
Author(s):  
Thayananthan Thayaparan ◽  
Ljubisa Stankovic ◽  
Igor Djurovic ◽  
Suresh Penamati ◽  
Kamisetti Venkataramaniah
Keyword(s):  
Doppler Radar ◽  
Target Recognition ◽  
Radar Signatures

Short-Range Doppler-Radar Signatures from Industrial Wind Turbines: Theory, Simulations, and Measurements

2016 ◽  
Vol 65 (9) ◽  
pp. 2108-2119 ◽  
Author(s):  
Jose-Maria Munoz-Ferreras ◽  
Zhengyu Peng ◽  
Yao Tang ◽  
Roberto Gomez-Garcia ◽  
Daan Liang ◽  
...  
Keyword(s):  
Wind Turbines ◽  
Short Range ◽  
Doppler Radar ◽  
Radar Signatures

An automatic in-home fall detection system using Doppler radar signatures

2016 ◽  
Vol 8 (4) ◽  
pp. 453-466 ◽  
Author(s):  
Liang Liu ◽  
Mihail Popescu ◽  
Marjorie Skubic ◽  
Marilyn Rantz ◽  
Paul Cuddihy
Keyword(s):  
Doppler Radar ◽  
Detection System ◽  
Fall Detection ◽  
Radar Signatures

scholarly journals Structure and Formation Mechanism on the 24 May 2000 Supercell-Like Storm Developing in a Moist Environment over the Kanto Plain, Japan

2008 ◽  
Vol 136 (7) ◽  
pp. 2389-2407 ◽  
Author(s):  
Shingo Shimizu ◽  
Hiroshi Uyeda ◽  
Qoosaku Moteki ◽  
Takeshi Maesaka ◽  
Yoshimasa Takaya ◽  
...  
Keyword(s):  
Formation Mechanism ◽  
Great Plains ◽  
Doppler Radar ◽  
Convective Available Potential Energy ◽  
Vertical Wind Shear ◽  
The United States ◽  
Melting Layer ◽  
Moist Environment ◽  
Dual Doppler Radar ◽  
Moist Layer

Abstract The structure and formation mechanism of a supercell-like storm in a moist environment below a melting layer were investigated using dual-Doppler radar analysis and a cloud-resolving storm simulator (CReSS). The supercell-like storm developed over the Kanto Plain, Japan, on 24 May 2000. The environment of the supercell-like storm possessed large convective available potential energy (1000 J kg−1), strong vertical wind shear (4.2 × 10−3 s−1 between the surface and 5 km above sea level), and a moist layer (the relative humidity was 60%–90% below a melting layer at 3 km in height). The dual-Doppler radar analysis with a variational method revealed that the supercell-like storm had similar structures to those of a typical supercell in a dry environment below a melting layer, such as that in the Great Plains in the United States. The structures included a hook echo, an overhanging echo structure, and a strong updraft with strong vertical vorticity. However, some of the characteristics of the supercell-like storm differed from those of a typical supercell. For example, a weak downdraft, a weak outflow, a weak inflow, and a short time maintenance of a single cyclonically rotating updraft (about 30 min) were noted. Dual-Doppler radar analysis revealed that the convergence between the weak outflow and the weak inflow kept its location just under the updraft for about 30 min; in other words, the strength of the outflow balanced the strength of the inflow. The observed features were simulated well using CReSS, and the thermodynamical features of the formation mechanism were revealed. The weak downdraft with a small evaporative cooling rate was simulated in a moist layer below the melting layer at 3 km in height. The small evaporation cooling was a major cause of the weak downdraft and the weak outflow. Because the outflow was weak and did not cut off the initial updraft, the weak inflow was able to keep supplying warm air to the initial updraft for about 30 min. Therefore, the present supercell-like storm could form as a result of the balance of the strengths of the weak inflow and the weak outflow in a moist environment.

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