Clear-air lidar dark band

Girolamo, Paolo Di; Scoccione, Andrea; Cacciani, Marco; Summa, Donato; Rosa, Benedetto De; Schween, Jan H.

doi:10.5194/acp-18-4885-2018

Cited by 8 publications

(5 citation statements)

References 45 publications

(57 reference statements)

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“…These measurements are used in the paper to infer aerosol size and microphysical properties. Before and after HyMeX‐SOP1, BASIL participated to a variety of other international field deployments (among others, Di Girolamo, Summa, Bhawar, et al., 2012; Di Girolamo et al., 2018; Di Girolamo et al., 2020; Summa et al., 2018; De Rosa, Di Girolamo, & Summa, 2018; De Rosa, Di Girolamo, Summa, Flamant et al., 2018).…”

Section: Instrumentsmentioning

confidence: 99%

“…The possibility to determine aerosol size and microphysical properties from multi‐wavelength Raman lidar measurements of the aerosol backscattering and extinction coefficient and depolarization ratio profiles has been demonstrated by a variety of authors (Freudhenthaler et al., 2009; Müller et al., 1999, 2007; Veselovskii et al., 2002, 2010, 2018). Retrieved profiles of aerosol size and microphysical properties can be combined with co‐located atmospheric humidity and temperature proﬁles to characterize aerosol–cloud interaction mechanisms (Di Girolamo et al., 2008, 2018; Di Girolamo, Summa, Cacciani et al., 2012; Wulfmeyer et al., 2005).…”

Section: Introductionmentioning

confidence: 99%

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Measurements of Aerosol Size and Microphysical Properties: A Comparison Between Raman Lidar and Airborne Sensors

et al. 2022

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This manuscript compares measurements of aerosol size distributions and microphysical properties retrieved from the Raman lidar BASIL with those obtained from a series of aircraft sensors during HyMeX‐SOP1. The attention is focused on a measurement session on 02 October 2012, with BASIL measurements revealing the presence of a lower aerosol layer extending up to 3.3 km and an elevated layer extending from 3.6 to 4.6 km. Aerosol size distribution and microphysical properties are determined from multi‐wavelength particle backscattering and extinction profile measurements through a retrieval approach based on Tikhonov regularization. A good agreement is found between BASIL and the microphysical sensors' measurements for all considered aerosol size and microphysical properties. Specifically, BASIL and in‐situ volume concentration values are in the range 2–5 μm3 cm−3 in the lower layer and in the range 1–3.5 μm3 cm−3 in the upper layer. Values of the effective radius values from BASIL and the in‐situ sensors are in the range 0.2–0.6 μm in both the lower and upper layer. Aerosol size distributions are determined at 2.2, 2.8, 4 and 4.3 km, with a good agreement between the Raman lidar and the microphysical sensors at all considered heights. We combined these size and microphysical results with Lagrangian back‐trajectory analyses and chemical composition measurements. From this combination of datasets we conclude that aerosol particles below 3 km were probably originated by wildfires in North America and/or by anthropogenic activities in North‐Eastern Europe, while aerosols above 3 km were also probably originated by wildfires in North America.

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Section: Instrumentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Measurements of Aerosol Size and Microphysical Properties: A Comparison Between Raman Lidar and Airborne Sensors

et al. 2022

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“…The setup of BASIL has been described in a variety of previous papers [5][6][7]. A mobile version of the system has been deployed in several international field campaigns [8][9][10][11][12][13][14][15][16][17][18]. BASIL measurements of the temperature profile cover the full altitude interval from the surface up to the stratopause.…”

Section: The Lidar Systemmentioning

confidence: 99%

Water Vapour and Temperature Measurements by Raman Lidar in the Frame of the NDACC

2020

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In November 2012, the University of BASILicata Raman Lidar system (BASIL) was approved to enter the International Network for the Detection of Atmospheric Composition Change (NDACC). Since then measurements were routinely carried out on a once per week basis. This paper illustrates specific measurement examples from this effort, with a dedicated focus on temperature and water vapour measurements, with the ultimate goal to provide a characterization of the system performance. Case studies illustrated in this paper demonstrate the ability of BASIL to perform measurements of the temperature profile up to 50 km and of the water vapour mixing ratio profile up to 15 km, based on an integration time of 2 hours and a vertical resolution of 150 m, with measurement bias not exceeding 0.1 K and 0.1 g kg−1, respectively. Raman lidar measurements are compared with measurements from additional instruments, such as radiosondings and satellite sensors (IASI and AIRS), and with model re-analyses data (ECMWF and ECMWF-ERA). Comparisons in this paper cover the altitude interval up to 15 km for water vapour mixing ratio and up to 50 km for the temperature. Comparisons between BASIL and the different sensor/model data in terms of water vapour mixing ratio indicate a mean absolute/relative bias of -0.024 g kg−1(or -3.9 %), 0.342 g kg−1(or 36.8 %), 0.346 g kg−1 (or 37.5 %), -0.297 g kg−1 (or -25 %), -0.381 g kg−1 (or -31 %), when compared with radisondings, AIRS, IASI, ECMWF, ECMWF-ERA, respectively. For what concerns the comparisons in terms of temperature measurements, these indicate a mean absolute bias between BASIL and the radisondings, AIRS, IASI, ECMWF, ECMWF-ERA of -0.04, 1.99, 0.48, 0.14, 0.62 K, respectively. Based on the available dataset and benefiting from the circumstance that the Raman lidar BASIL could be compared with all other sensor/model data, it has been possible to estimate the absolute bias of all sensors/datasets, this being 0.004 g kg−1/0.30 K, 0.021 g kg−1/-0.34 K, -0.35 g kg−1/0.18 K, -0.346 g kg−1/-1.63 K, 0.293 g kg−1/-0.16 K and 0.377 g kg−1/0.32 K in terms of water vapour mixing ratio/temperature for BASIL, the radisondings, IASI, AIRS, ECMWF, ECMWF-ERA, respectively.

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“…Relative humidity profiles are obtained from simultaneous water vapour mixing ratio and temperature profile measurements (Di Girolamo et al, 2009b). A transportable version of the system, emitting two additional wavelengths (523 and 1064 nm), has been deployed in a variety of international field experiments (Bhawar et al, 2008;Serio et al, 2008;Wulfmeyer et al, 2008;Bennett et al, 2011;Ducrocq et al, 2014;Macke et al, 2017, Di Girolamo et al, 2012a, 2012b, 2018b. BASIL was included in 20 NDACC with the primary aim of providing water vapour mixing ratio and temperature profile measurements.…”

Section: The Raman Lidar Basil and Its Operation In The Frame Of Ndaccmentioning

confidence: 99%

Temperature and water vapour measurements in the framework of NDACC

Rosa

Girolamo

Summa

2019

Preprint

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The Raman Lidar system BASIL entered the International Network for the Detection of Atmospheric Composition Change (NDACC) in 2012. Since then measurements were carried out routinely on a weekly basis. This manuscript reports specific measurement results from this effort, with a dedicated focus on temperature and water vapour profile measurements.The main objective of this research effort is to provide a characterization of the system performance. Measurements illustrated in this manuscript demonstrate the ability of BASIL to perform measurements of the temperature profile up to 50 10 km and of the water vapour mixing ratio profile up to 15 km, when considering an integration time of 2 h and a vertical resolution of 150 m, with measurement bias not exceeding 0.1 K and 0.1 g kg -1 , respectively. Relative humidity profiling capability up to the tropopause is also demonstrated by combining simultaneous temperature and water vapour profile measurements.Raman lidar measurements are compared with measurements from additional instruments, such as radiosondings and 15 satellite sensors (IASI and AIRS), and with model re-analyses data (ECMWF and ECMWF-ERA). Comparisons in this paper cover the altitude region up to 15 km for water vapour mixing ratio and up to 50 km for the temperature. We focused our attention on four selected case studies collected during the first 2 years of operation of the system (November 2013-October 2015. Comparisons between BASIL and the different sensor/model data in terms of water vapour mixing ratio indicate a mean absolute/relative bias of -0.024 g kg -1 (or -3.9 %), 0.346 g kg -1 (or 37.5 %), 0.342 g kg -1 (or 36.8 %), -0.297 g 20 kg -1 (or -25 %), -0.381 g kg -1 (or -31 %), when compared with radisondings, IASI, AIRS, ECMWF, ECMWF-ERA, respectively. For what concerns the comparisons in terms of temperature measurements, these reveal a mean absolute bias between BASIL and the radisondings, IASI, AIRS, ECMWF, ECMWF-ERA of -0.04, 0.48, 1.99, 0.14, 0.62 K, respectively.Based on the available dataset and benefiting from the circumstance that the Raman lidar BASIL could be compared with all other sensor/model data, it was possible to estimate the absolute bias of all sensors/datasets, this being 0.004 g kg -1 /0.30 K, 25 0.021 g kg -1 /-0.34 K, -0.35 g kg -1 /0.18 K, -0.346 g kg -1 /-1.63 K, 0.293 g kg -1 /-0.16 K and 0.377 g kg -1 /0.32 K for the water vapour mixing ratio/temperature profile measurements carried out by BASIL, the radisondings, IASI, AIRS, ECMWF, ECMWF-ERA, respectively.Atmos. Meas. Tech. Discuss., https://doi.

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Clear-air lidar dark band

Cited by 8 publications

References 45 publications

Measurements of Aerosol Size and Microphysical Properties: A Comparison Between Raman Lidar and Airborne Sensors

Measurements of Aerosol Size and Microphysical Properties: A Comparison Between Raman Lidar and Airborne Sensors

Water Vapour and Temperature Measurements by Raman Lidar in the Frame of the NDACC

Temperature and water vapour measurements in the framework of NDACC

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