scholarly journals Dual-wavelength, ultralong Raman laser with Rayleigh-scattering feedback

2010 ◽  
Vol 35 (7) ◽  
pp. 1100 ◽  
Author(s):  
A. E. El-Taher ◽  
M. Alcon-Camas ◽  
S. A. Babin ◽  
P. Harper ◽  
J. D. Ania-Castañón ◽  
...  
2017 ◽  
Vol 383 ◽  
pp. 6-10 ◽  
Author(s):  
P.B. Jiang ◽  
Q. Sheng ◽  
X. Ding ◽  
B. Sun ◽  
J. Liu ◽  
...  
Keyword(s):  

2020 ◽  
Vol 28 (6) ◽  
pp. 8802
Author(s):  
Zhi-Hua Tu ◽  
Shi-Bo Dai ◽  
Meng-Ting Chen ◽  
Hao Yin ◽  
Si-Qi Zhu ◽  
...  

2019 ◽  
Vol 36 (7) ◽  
pp. 1177-1198
Author(s):  
Francesc Junyent ◽  
V. Chandrasekar ◽  
P. Kennedy

AbstractThe CSU–CHILL radar is a dual-wavelength, dual-polarization weather radar system operating at S and X band with coaxial beams. This radar system offers a unique environment to develop and/or validate algorithms that cut across its wavelengths and polarizations. This paper presents a method to retrieve resonance scattering regions from the difference in intrinsic reflectivities after attenuation correction, which is performed using measured reflectivity fields only. The algorithm to retrieve these regions dominated by non-Rayleigh scattering is applied to different storm events, and the obtained data field capturing the difference in S- and X-band reflectivities due to resonance effects (which we will call Mie signal for convenience) is compared to the collocated dual-polarization fields. The obtained Mie signal is also compared to hail reports. In both cases, the retrieved Mie signal is found to be consistent with the rest of the dual-polarization data fields, and in some situations, it is shown to bring information not directly discernible from the usual dual-polarization radar variables.


2019 ◽  
Vol 58 (9) ◽  
pp. 2005-2017 ◽  
Author(s):  
Sergey Y. Matrosov ◽  
Maximilian Maahn ◽  
Gijs de Boer

AbstractThe influence of ice hydrometeor shape on the dual-wavelength ratio (DWR) of radar reflectivities at millimeter-wavelength frequencies is studied theoretically and on the basis of observations. Data from dual-frequency (Ka–W bands) radar show that, for vertically pointing measurements, DWR increasing trends with reflectivity Ze are very pronounced when Ka-band Ze is greater than about 0 dBZ and that DWR and Ze values are usually well correlated. This correlation is explained by strong relations between hydrometeor characteristic size and both of these radar variables. The observed DWR variability for a given level of reflectivity is as large as 8 dB, which is in part due to changes in mean hydrometeor shape as expressed in terms of the particle aspect ratio. Hydrometeors with a higher degree of nonsphericity exhibit lower DWR values when compared with quasi-spherical particles because of near-zenith reflectivity enhancements for particles outside the Rayleigh-scattering regime. When particle mass–size relations do not change significantly (e.g., for low-rime conditions), DWR can be used to differentiate between quasi-spherical and highly nonspherical hydrometeors because (for a given reflectivity value) DWR tends to increase as particles become more spherical. Another approach for differentiating among different degrees of nonsphericity for larger scatterers is based on analyzing DWR changes as a function of radar elevation angle. These changes are more pronounced for highly nonspherical particles and can exceed 10 dB. Measurements of snowfall spatiotemporally collocated with spaceborne CloudSat W-band radar and ground-based S-band operational weather radars also indicate that DWR values are generally smaller for ice hydrometeors with higher degrees of nonsphericity, which, for the same level of S-band reflectivity, exhibit greater differential reflectivity values.


2020 ◽  
Vol 45 (18) ◽  
pp. 5061
Author(s):  
Qian Wu ◽  
Zeliang Gao ◽  
Zhixin Wu ◽  
Conggang Li ◽  
Xiangxin Tian ◽  
...  

Laser Physics ◽  
2011 ◽  
Vol 21 (5) ◽  
pp. 928-930 ◽  
Author(s):  
J. M. Baptista ◽  
C. Correia ◽  
M. B. Marques ◽  
O. Frazão

2012 ◽  
Vol 20 (16) ◽  
pp. 17823 ◽  
Author(s):  
Hongbin Shen ◽  
Qingpu Wang ◽  
Xingyu Zhang ◽  
Xiaohan Chen ◽  
Zhenhua Cong ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document