Noise filtering of rotational Raman lidar using threshold amendment for atmospheric temperature measurement

2009 ◽  
Author(s):  
Weiguo Kong ◽  
Siying Chen ◽  
Yinchao Zhang ◽  
Tian Lan ◽  
Zongjia Qiu ◽  
...  
Keyword(s):  
Temperature Measurement ◽  
Atmospheric Temperature ◽  
Noise Filtering ◽  
Raman Lidar

Threshold Amendment and Time-Delay Compensation of Rotational Raman Lidar for Atmospheric Temperature Measurement

2011 ◽  
Vol 48 (2) ◽  
pp. 022801
Author(s):  
孔卫国 Kong Weiguo ◽  
陈思颖 Chen Siying ◽  
张寅超 Zhang Yinchao ◽  
陈和 Chen He ◽  
邱宗甲 Qiu Zongjia ◽  
...  
Keyword(s):  
Time Delay ◽  
Temperature Measurement ◽  
Atmospheric Temperature ◽  
Raman Lidar ◽  
Delay Compensation ◽  
Time Delay Compensation

scholarly journals Profiles of second- to third-order moments of turbulent temperature fluctuations in the convective boundary layer: first measurements with Rotational Raman Lidar

2014 ◽  
Vol 14 (21) ◽  
pp. 29019-29055 ◽  
Author(s):  
A. Behrendt ◽  
V. Wulfmeyer ◽  
E. Hammann ◽  
S. K. Muppa ◽  
S. Pal
Keyword(s):  
Boundary Layer ◽  
Temperature Measurement ◽  
Convective Boundary Layer ◽  
Temperature Fluctuations ◽  
Atmospheric Temperature ◽  
Order Moment ◽  
Temperature Profiles ◽  
Raman Lidar ◽  
Third Order ◽  
Convective Boundary

Abstract. The rotational Raman lidar of the University of Hohenheim (UHOH) measures atmospheric temperature profiles during daytime with high resolution (10 s, 109 m). The data contain low noise errors even in daytime due to the use of strong UV laser light (355 nm, 10 W, 50 Hz) and a very efficient interference-filter-based polychromator. In this paper, we present the first profiling of the second- to forth-order moments of turbulent temperature fluctuations as well as of skewness and kurtosis in the convective boundary layer (CBL) including the interfacial layer (IL). The results demonstrate that the UHOH RRL resolves the vertical structure of these moments. The data set which is used for this case study was collected in western Germany (50°53'50.56′′ N, 6°27'50.39′′ E, 110 m a.s.l.) within one hour around local noon on 24 April 2013 during the Intensive Observations Period (IOP) 6 of the HD(CP)2 Observational Prototype Experiment (HOPE), which is embedded in the German project HD(CP)2 (High-Definition Clouds and Precipitation for advancing Climate Prediction). First, we investigated profiles of the noise variance and compared it with estimates of the statistical temperature measurement uncertainty Δ T based on Poisson statistics. The agreement confirms that photon count numbers obtained from extrapolated analog signal intensities provide a lower estimate of the statistical errors. The total statistical uncertainty of a 20 min temperature measurement is lower than 0.1 K up to 1050 m a.g.l. at noontime; even for single 10 s temperature profiles, it is smaller than 1 K up to 1000 m a.g.l.. Then we confirmed by autocovariance and spectral analyses of the atmospheric temperature fluctuations that a temporal resolution of 10 s was sufficient to resolve the turbulence down to the inertial subrange. This is also indicated by the profile of the integral scale of the temperature fluctuations, which was in the range of 40 to 120 s in the CBL. Analyzing then profiles of the second-, third-, and forth-order moments, we found the largest values of all moments in the IL around the mean top of the CBL which was located at 1230 m a.g.l. The maximum of the variance profile in the IL was 0.40 K2 with 0.06 and 0.08 K2 for the sampling error and noise error, respectively. The third-order moment was not significantly different from zero inside the CBL but showed a negative peak in the IL with a minimum of −0.72 K3 and values of 0.06 and 0.14 K3 for the sampling and noise errors, respectively. The forth-order moment and kurtosis values throughout the CBL were quasi-normal.

Atmospheric temperature measurement with the rotational Raman lidar using Na vapor filter

2001 ◽  
Author(s):  
Masahiro Funada ◽  
Chikao Nagasawa ◽  
Yasukuni Shibata ◽  
Makoto Abo
Keyword(s):  
Temperature Measurement ◽  
Atmospheric Temperature ◽  
Raman Lidar

High-Precision Measurements of Lower Atmospheric Temperature Based on Pure Rotational Raman Lidar

2015 ◽  
Vol 58 (4) ◽  
pp. 313-324 ◽  
Author(s):  
LI Ya-Juan ◽  
SONG Sha-Lei ◽  
LI Fa-Quan ◽  
CHENG Xue-Wu ◽  
CHEN Zhen-Wei ◽  
...  
Keyword(s):  
High Precision ◽  
Atmospheric Temperature ◽  
Precision Measurements ◽  
Raman Lidar

Measurement of Atmospheric Temperature Profiles Using Raman Lidar

1979 ◽  
Vol 18 (2) ◽  
pp. 225-227 ◽  
Author(s):  
R. Gill ◽  
K. Geller ◽  
J. Farina ◽  
J. Cooney ◽  
A. Cohen
Keyword(s):  
Atmospheric Temperature ◽  
Temperature Profiles ◽  
Raman Lidar

Atmospheric temperature measurements using a pure rotational Raman lidar

1983 ◽  
Vol 22 (19) ◽  
pp. 2984 ◽  
Author(s):  
Yu. F. Arshinov ◽  
S. M. Bobrovnikov ◽  
V. E. Zuev ◽  
V. M. Mitev
Keyword(s):  
Atmospheric Temperature ◽  
Temperature Measurements ◽  
Raman Lidar

Rayleigh-Raman lidar used for atmospheric temperature profile measurement

2010 ◽  
Vol 22 (7) ◽  
pp. 1449-1452
Author(s):  
卜令兵 Bu Lingbing ◽  
郭劲秋 Guo Jinqiu ◽  
田力 Tian Li ◽  
黄兴友 Huang Xingyou ◽  
刘博 Liu Bo ◽  
...  
Keyword(s):  
Temperature Profile ◽  
Atmospheric Temperature ◽  
Profile Measurement ◽  
Raman Lidar ◽  
Atmospheric Temperature Profile

Stratosphere temperature measurement using Raman lidar

1990 ◽  
Vol 29 (34) ◽  
pp. 5182 ◽  
Author(s):  
Philippe Keckhut ◽  
M. L. Chanin ◽  
A. Hauchecorne
Keyword(s):  
Temperature Measurement ◽  
Raman Lidar
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