Accurate temperature profiling of the atmospheric boundary layer using an ultraviolet rotational Raman lidar

Mao, Jiandong; Hua, Dengxin; Wang, Yufeng; Gao, Fei; Wang, Li

doi:10.1016/j.optcom.2009.04.050

Cited by 23 publications

(8 citation statements)

References 12 publications

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“…A large power-aperture product and sufficient suppression capacity (about 6∼8 orders of magnitude) are important steps to obtain signal-to-noise ratios (SNR) and precision that are required. With the progress of the high-performance technologies in spectral extraction and weak signal detection, the temperature detection height for the RR lidar has been extended upward from an altitude of ∼2 km (Cooney et al, 1976;Mao et al, 2009) to the stratosphere (Nedelijkovic et al, 1993;Behrendt and Reichardt, 2000;Behrendt et al, 2004;Achtert et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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

Song

et al. 2015

Chinese J of Geophysics

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A pure rotational Raman (PRR) lidar system was built for high precision temperature measurements in the atmosphere from 10 km to 40 km height over Wuhan, China (30.5°N, 114.4°E). State of the art interference filters for light splitting and filtering were designed to extract the required PRR signals and suppress elastically backscattered light. Observational results reveal that the maximum deviation of temperatures measured by the PRR lidar and the local radiosonde below 30 km is about 3.0 K, showing good consistency and reliability of the lidar. Obvious deviations may occur because of the balloon drifts, regional differences and special phenomena like the thermal inversion layer. Temperature profiles at different temporal scales are conductive to analysis of the wave properties and microstructures. For the 30 min integrated lidar temperature profile, the statistical error is about 0.3 K for altitudes of 10∼20 km with 300 m spatial resolution; ∼0.8 K for 20∼30 km with 600 m resolution; and 3.0 K for 30∼40 km with 900 m resolution, respectively. Besides, one‐night temperature profiles are given for the long‐term observation of the atmospheric thermal structure. Temperature measurement up to 40 km by the PRR lidar shows great potential for the further combination with the Rayleigh lidar of 30∼80 km detection capacity, which provides an effective means for the study of the lower atmosphere to the upper stratosphere.

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Section: Introductionmentioning

confidence: 99%

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

Song

et al. 2015

Chinese J of Geophysics

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“…7,8) With the development of laser technology and Raman spectroscopy, Raman lidar techniques have been demonstrated to be one of the most effective tools for providing these types of atmospheric information. [9][10][11] The use of both vibrational and rotational Raman lidar signals can retrieve the temperature, water vapor, and humidity profiles simultaneously. 12) The vibrational Raman scattering signals of water vapor molecules (H 2 O) and nitrogen molecules (N 2 ) have been widely applied for the detection of water vapor profiles in the lower atmosphere.…”

Section: Introductionmentioning

confidence: 99%

Observations and Analysis of Relationship between Water Vapor and Aerosols by Using Raman Lidar

Wang

Hua

Wang

et al. 2012

Jpn. J. Appl. Phys.

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A UV vibrational Raman lidar has been built and used to make quantitative measurements of water vapor and aerosol optical properties over Xi'an, China. Vertical profiles of the water vapor mixing ratio and aerosol extinction coefficient are retrieved. The water vapor mixing ratio is calibrated with radiosonde data. The diurnal variations of the water vapor mixing ratio, aerosol extinction coefficient, and aerosol optical depth are obtained. The results obtained in the form of a time-height indicator (THI) display clearly showed the relationship between water vapor and aerosols, in which the gradual enhancement of water vapor density results in aerosol accumulation in the early morning, in particular in the lower troposphere. The seasonal variations of the water vapor mixing ratio and aerosol optical depth over Xi'an were observed and analyzed using the average monthly distribution obtained by lidar for the first time, which will provide useful scientific data and real-time monitoring methods for studying local climate change. #

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“…NASA's Goddard Space Flight Center (Di Girolamo et al, 2004), of the University of Hohenheim (UHOH; Radlach et al, 2008), of the University of Basilicata (Di Girolamo et al, 2009), of Xi'an University (Mao et al, 2009), and of Hampton University (Su et al, 2013) all operate in the UV with interference-filter polychromators. Rotational Raman lidars at 532 nm show lower performance during daytime but reach a larger range at night than an UV system due to the higher laser power available at 532 nm compared to 355 nm, higher efficiency in signal separation, and lower atmospheric extinction.…”

Section: E Hammann Et Al: Temperature Profiling With Rotational Rammentioning

confidence: 99%

Temperature profiling of the atmospheric boundary layer with rotational Raman lidar during the HD(CP)<sup>2</sup> Observational Prototype Experiment

et al. 2015

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Abstract. The temperature measurements of the rotational Raman lidar of the University of Hohenheim (UHOH RRL) during the High Definition of Clouds and Precipitation for advancing Climate Prediction (HD(CP) 2 ) Observation Prototype Experiment (HOPE) in April and May 2013 are discussed. The lidar consists of a frequency-tripled Nd:YAG laser at 355 nm with 10 W average power at 50 Hz, a twomirror scanner, a 40 cm receiving telescope, and a highly efficient polychromator with cascading interference filters for separating four signals: the elastic backscatter signal, two rotational Raman signals with different temperature dependence, and the vibrational Raman signal of water vapor. The main measurement variable of the UHOH RRL is temperature. For the HOPE campaign, the lidar receiver was optimized for high and low background levels, with a novel switch for the passband of the second rotational Raman channel. The instrument delivers atmospheric profiles of water vapor mixing ratio as well as particle backscatter coefficient and particle extinction coefficient as further products. As examples for the measurement performance, measurements of the temperature gradient and water vapor mixing ratio revealing the development of the atmospheric boundary layer within 25 h are presented. As expected from simulations, a reduction of the measurement uncertainty of 70 % during nighttime was achieved with the new low-background setting. A two-mirror scanner allows for measurements in different directions. When pointing the scanner to low elevation, measurements close to the ground become possible which are otherwise impossible due to the non-total overlap of laser beam and receiving telescope field of view in the near range.An example of a low-level temperature measurement is presented which resolves the temperature gradient at the top of the stable nighttime boundary layer 100 m above the ground.

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Accurate temperature profiling of the atmospheric boundary layer using an ultraviolet rotational Raman lidar

Cited by 23 publications

References 12 publications

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

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

Observations and Analysis of Relationship between Water Vapor and Aerosols by Using Raman Lidar

Temperature profiling of the atmospheric boundary layer with rotational Raman lidar during the HD(CP)<sup>2</sup> Observational Prototype Experiment

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Accurate temperature profiling of the atmospheric boundary layer using an ultraviolet rotational Raman lidar

Cited by 23 publications

References 12 publications

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

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

Observations and Analysis of Relationship between Water Vapor and Aerosols by Using Raman Lidar

Temperature profiling of the atmospheric boundary layer with rotational Raman lidar during the HD(CP)&lt;sup&gt;2&lt;/sup&gt; Observational Prototype Experiment

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Temperature profiling of the atmospheric boundary layer with rotational Raman lidar during the HD(CP)<sup>2</sup> Observational Prototype Experiment