Characterization of the variability of the humidity and cloud fields as observed from a cluster of ground-based lidar systems

Mona, Lucia; Rosati, Ilaria; D’Amico, Giuseppe; Girolamo, Paolo Di; Pappalardo, Gelsomina; Pisani, Gianluca; Summa, Donato; Wang, X.; Cuomo, V.

doi:10.1002/qj.160

Cited by 22 publications

(17 citation statements)

References 16 publications

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“…The means and standard deviations amount to 15.2 ± 0.4 and 12.4 ± 0.6 g kg −1 before and after the major rearrangement in the optical setup on 15 April 2013, 10:06 UTC, respectively. These values correspond to relative errors of 3 and 5 % and are comparable to studies of Mona et al (2007) and Sakai et al (2007). Without any strong rearrangements in the optical setup, the calibration factor is very stable, enabling an operational applicability.…”

Section: Stability Of the Calibration Factorsupporting

confidence: 75%

Water vapour profiles from Raman lidar automatically calibrated by microwave radiometer data during HOPE

et al. 2015

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Abstract. In this paper, we present a method to derive water vapour profiles from Raman lidar measurements calibrated by the integrated water vapour (IWV) from a collocated microwave radiometer during the intense observation campaign HOPE in the frame of the HD(CP) 2 initiative. The simultaneous observation of a microwave radiometer and a Raman lidar allowed an operational and continuous measurement of water vapour profiles also during cloudy conditions. The calibration method provides results which are in a good agreement with conventional methods based on radiosondes. The calibration factor derived from the proposed IWV method is very stable with a relative uncertainty of 5 %. This stability allows for the calibration of the lidar even in the presence of clouds using the calibration factor determined during the most recent clear sky interval. Based on the application of this approach, it is possible to retrieve water vapour profiles during all non-precipitating conditions. A statistical analysis shows a good agreement between the lidar measurements and collocated radiosondes. The relative biases amount to less than 6.7 % below 2 km.

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Section: Stability Of the Calibration Factorsupporting

confidence: 75%

Water vapour profiles from Raman lidar automatically calibrated by microwave radiometer data during HOPE

et al. 2015

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“…Specifically, the water vapour profiles are determined from the Raman backscatter signals at 387 and 407 nm from nitrogen and water vapour molecules, respectively (Melfi et al, 1969;Cooney, 1971;Melfi, 1972). Besides temperature and water vapour, BASIL is capable of providing measurements of particle backscatter at 355, 532 and 1064 nm, particle extinction at 355 and 532 nm and particle depolarization at 355 and 532 nm (Griaznov et al, 2007;Mona et al, 2007;Bhawar et al, 2008;Di Girolamo et al, 2009a). For the purpose of determining particle size and microphysical parameters, measurements of the particle backscattering coefficient at 355, 532 and 1064 nm, of the particle extinction coefficient at 355 and 532 nm and of the depolarization ratio at 355 nm are used (Di Girolamo et al, 2009c).…”

Section: Basilmentioning

confidence: 99%

The water vapour intercomparison effort in the framework of the Convective and Orographically‐induced Precipitation Study: airborne‐to‐ground‐based and airborne‐to‐airborne lidar systems

Bhawar

Girolamo

Summa

et al. 2011

Quart J Royal Meteoro Soc

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“…At CIAO large attention has been traditionally paid to the study of aerosol and water vapour using lidar techniques (Pappalardo et al, 2004a(Pappalardo et al, , b, 2010Mona et al, 2006Mona et al, , 2007Mona et al, , 2009). However, since 2004 the facility strengthened its observing capability for the monitoring of clouds through the acquisition of new active and passive microwave profilers, with the main objective to investigate aerosol-clouds interactions using both active and passive remote sensing techniques.…”

Section: The Cnr-imaa Atmospheric Observatory (Ciao)mentioning

confidence: 99%

“…In addition to MUSA and PEARL, CIAO is also equipped with a UV Raman lidar system for water vapour measurements (Mona et al, 2007), operational at CNR-IMAA since July 2002. It performs measurements simultaneously with PEARL.…”

Section: Lidarsmentioning

confidence: 99%

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CIAO: the CNR-IMAA advanced observatory for atmospheric research

et al. 2011

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Abstract. Long-term observations of aerosol and clouds are of crucial importance to understand the weather climate system. At the Istituto di Metodologie per l'Analisi Ambientale of the Italian National Research Council (CNR-IMAA) an advanced atmospheric observatory, named CIAO, is operative. CIAO (CNR-IMAA Atmospheric Observatory) main scientific objective is the long term measurement for the climatology of aerosol and cloud properties. Its equipment addresses the state-of-the-art for the ground-based remote sensing of aerosol, water vapour and clouds including active and passive sensors, like lidars, ceilometers, radiometers, and a radar. This paper describes the CIAO infrastructure, its scientific activities as well as the observation strategy. The observation strategy is mainly organized in order to provide quality assured measurements for satellite validation and model evaluation and to fully exploit the synergy and integration of the active and passive sensors for the improvement of atmospheric profiling. Data quality is ensured both by the application of protocols and dedicated quality assurance programs mainly related to the projects and networks in which the infrastructure is involved. The paper also introduces examples of observations performed at CIAO and of the synergies and integration algorithms (using Raman lidar and microwave profiler data) developed and implemented at the observatory for the optimization and improvement of water vapour profiling. CIAO database represents an optimal basis to study the synergy between different sensors and to investigate aerosolclouds interactions, and can give a significant contribution to the validation programs of the incoming new generation satellite missions.

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Characterization of the variability of the humidity and cloud fields as observed from a cluster of ground-based lidar systems

Cited by 22 publications

References 16 publications

Water vapour profiles from Raman lidar automatically calibrated by microwave radiometer data during HOPE

Water vapour profiles from Raman lidar automatically calibrated by microwave radiometer data during HOPE

The water vapour intercomparison effort in the framework of the Convective and Orographically‐induced Precipitation Study: airborne‐to‐ground‐based and airborne‐to‐airborne lidar systems

CIAO: the CNR-IMAA advanced observatory for atmospheric research

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