Meteorological water vapor Raman lidar: advances

Dinoev, Todor; Ristori, P.; Arshinov, Yuri; Bobrovnikov, S. M.; Serikov, Ilya; Calpini, B.; Bergh, Hubert van den; Simeonov, V.

doi:10.1117/12.692451

Cited by 4 publications

(2 citation statements)

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“…PRR spectra from diatomic molecules like N 2 and O 2 have rotational lines spaced on both sides of the exciting wavelength (Stokes and anti-Stokes branches). Analyzing certain lines or groups of adjacent lines enables the retrieval of vertical temperature profiles in the troposphere and lower stratosphere, as the intensity of these spectra is sensitive to temperature and wavelength (Dinoev et al, 2010). Various validation studies have been conducted to assess the accuracy of RALMO measurements of temperature and water vapor.…”

Section: Raman Lidar For Meteorological Observations (Ralmo)mentioning

confidence: 99%

Solar Background Radiation Temperature Calibration of a Pure Rotational Raman Lidar

Jayaweera,

Sica,

Martucci

et al. 2024

Preprint

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Abstract. Raman lidars are an important tool for measuring important atmospheric parameters including water vapor content and temperature in the troposphere and stratosphere. These measurements enable climatology studies and trend analyses to be performed. To detect long-term trends it is critical to have as reliable and continuous as possible calibration of the system and monitoring of its associated uncertainties. Here we demonstrate a new methodology to derive calibration coefficients for a rotational temperature Raman lidar. We use solar background measurements taken by the rotational Raman channels of the Raman Lidar for Meteorological Observations (RALMO) located at the Federal Office of Meteorology and Climatology MeteoSwiss in Payerne, Switzerland, to calculate a relative calibration as a function of time, which is made an absolute calibration by requiring only a single external calibration, in our case with a single radiosonde flight. This approach was verified using an external time series of coincident radiosonde measurements. We employed the calibration technique on historical measurements that used a Licel data acquisition system and established a calibration time series spanning from 2011 to 2015 using both the radiosonde-based external and solar background-based internal methods. Our results show that using the background calibration technique reduces the mean bias of the calibration by an average of 0.2 K across the altitude range of 1 to 16 km compared to using the local radiosoundings. Furthermore, it demonstrates the background calibration’s ability to adjust and maintain continuous calibration values even amidst sudden system changes in the system, which sporadic external calibration could miss. This approach ensures that climatological averages and trends remain unaffected by the drift effects commonly associated with using daily operational radiosondes. It also allows a lidar not co-located with a routine external source to be continuously calibrated once an initial external calibration is done.

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Section: Raman Lidar For Meteorological Observations (Ralmo)mentioning

confidence: 99%

Solar Background Radiation Temperature Calibration of a Pure Rotational Raman Lidar

Jayaweera,

Sica,

Martucci

et al. 2024

Preprint

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“…Of the earlier lidars, the Cloud and Radiation Testbed Raman Lidar CARL [5] at the Atmospheric Radiation Measurement program's Southern Great Plains site in Oklahoma, USA, stood out because it added another layer of complexity, i.e., it was monitoring tropospheric humidity and clouds continuously and autonomously. Its success enticed meteorological services around the world to develop and operate similar instruments, e.g., in Switzerland [12] and Germany.…”

Section: Introductionmentioning

confidence: 99%

RAMSES: German Meteorological Service autonomous Raman lidar for water vapor, temperature, aerosol, and cloud measurements

et al. 2012

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The Raman lidar for atmospheric moisture sensing (RAMSES) for unattended, continuous multiparameter atmospheric profiling is presented. A seeded frequency-tripled Nd:YAG laser serves as the light source. A nine-channel polychromator, nonfiber coupled to the main telescope (790 mm diameter), is used for far-range measurements. Near-range observations are performed with a three-channel polychromator, fiber coupled to a secondary telescope (200 mm diameter). Measurement parameters are water-vapor mixing ratio (MR), temperature, and the optical particle parameters, which are extinction coefficient, backscatter coefficient, lidar ratio, and depolarization ratio at 355 nm. Profiles of water-vapor MR are measured from close to the surface up to 14 km at night and 5 km during the day under favorable atmospheric conditions in 20 min. Temperature profiles of the troposphere and lower stratosphere are determined with the rotational-Raman technique. For the detection of the rotational Raman signals, a new beamsplitter/interference-filter experimental setup is implemented that is compact, robust, and easy to align. Furthermore, the polychromator design allows two independent methods for calibrating measurements of depolarization ratio. RAMSES optical design concept and experimental setup are detailed, and a description of the operational near-real-time data evaluation software is given. A multiday observation is discussed to illustrate the measurement capabilities of RAMSES.

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Raman Lidar for Meteorological Observations, RALMO – Part 1: Instrument description

et al. 2013

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Abstract.A new Raman lidar for unattended, round-theclock measurement of vertical water vapor profiles for operational use by the MeteoSwiss has been developed during the past years by the Swiss Federal Institute of Technology, Lausanne. The lidar uses narrow field-of-view, narrowband configuration, a UV laser, and four 30 cm in diameter mirrors, fiber-coupled to a grating polychromator. The optical design allows water vapor retrieval from the incomplete overlap region without instrument-specific rangedependent corrections. The daytime vertical range covers the mid-troposphere, whereas the nighttime range extends to the tropopause. The near range coverage is extended down to 100 m AGL by the use of an additional fiber in one of the telescopes. This paper describes the system layout and technical realization. Day-and nighttime lidar profiles compared to Vaisala RS92 and Snow White ® profiles and a six-day continuous observation are presented as an illustration of the lidar measurement capability.

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Meteorological water vapor Raman lidar: advances

Cited by 4 publications

References 0 publications

Solar Background Radiation Temperature Calibration of a Pure Rotational Raman Lidar

Solar Background Radiation Temperature Calibration of a Pure Rotational Raman Lidar

RAMSES: German Meteorological Service autonomous Raman lidar for water vapor, temperature, aerosol, and cloud measurements

Raman Lidar for Meteorological Observations, RALMO – Part 1: Instrument description

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