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Aerosol characterization over a Central Asian site: long-term lidar profiling at Dushanbe, Tajikistan (March 2015 – August 2016)

For the first time, a comprehensive characterization of optical, microphysical, and cloud-relevant properties of Central Asian aerosol particles with a state-of-the-art lidar has been performed. This study fills a gap between observations in Eastern Mediterranean (e.g., in Greece, Cyprus, and Israel) and Eastern Asian (e.g, in China, Korea, and Japan) aerosol monitoring.
During the Central Asian Dust Experiment (CADEX), an automatic multiwavelength
polarization Raman lidar PollyXT was operated in Dushanbe, Tajikistan, from 17 March 2015 until 31 August 2016. During the 18-month campaign, on 487 days, lidar data has been acquired for a time period of at least 3 h. On 308 of these days, the lidar ran even longer than 20 h. 328 manually analyzed profiles of nighttime observations build the data basis of this study and cover well the annual cycle of dust and pollution aerosol layering. Thorough quality assurance and calibration efforts have been made before, during, and after the measurement campaign.
With the lidar, vertical profiles of the particle backscatter coefficient at 355 nm, 532 nm, and 1064 nm, of the particle extinction coefficient at 355 nm and 532 nm, and of the particle linear depolarization ratio at 355 nm and 532 nm wavelength were determined. From these quantities, lidar ratios and backscatter-related and extinction-related Ångström exponents were derived. Furthermore, the optical properties were converted to mass concentration and cloud-relevant parameters (CCN and INP concentration) by means of the recently developed lidar technique POLIPHON.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:72461
Date19 October 2020
CreatorsHofer, Julian
ContributorsUniversität Leipzig
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/acceptedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess
Relationhttps://doi.org/10.5194/acp-17-14559-2017, https://doi.org/10.5194/acp-20-4695-2020, https://doi.org/10.5194/acp-20-9265-2020

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