Features of optical characteristics of atmospheric aerosol in the Middle Urals

Poddubny, V. A.; Luzhetskaya, A. P.; Markelov, Yu. I.; Beresnev, S. A.; Gorda, S. Yu.; Сакерин, С. М.

doi:10.1134/s0001433813030109

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…The AERONET measurements in the Middle Urals were mainly taken in the warm season-from April to October-due to the climate of the region (few sunny days in winter) and the need for calibration procedures, for which the photometer was returned to NASA GSFC (National Aeronautics and Space Administration, Goddard Space Flight Center) every winter for intercomparison with reference instruments [43].…”

Section: Aeronet Photometric Measurementsmentioning

confidence: 99%

A Regional Aerosol Model for the Middle Urals Based on CALIPSO Measurements

Nagovitsyna,

Dzholumbetov,

Karasev

et al. 2023

Atmosphere

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The present work aims to develop a regional Middle Urals Aerosol model (MUrA model) based on the joint analysis of long-term ground-based photometric measurements of the Aerosol Robotic NETwork (AERONET) and the results of lidar measurements of the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) satellite relying on information on the air trajectories at different altitudes calculated using the HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory model) software package. The MUrA model contains parameters of normalized volume size distributions (NVSDs) characterizing the tropospheric aerosol subtypes detected by the CALIPSO satellite. When comparing the MUrA model with the global CALIPSO Aerosol Model (CAMel), we found significant differences in NVSDs for elevated smoke and clean continental aerosol types. NVSDs for dust and polluted continental/smoke aerosol types in the global and regional models differ much less. The total volumes of aerosol particles along the atmospheric column reconstructed from satellite measurements of the attenuation coefficient at a wavelength of 532 nm based on the regional MUrA model and global CAMel are compared with the AERONET inversion data. The mean bias error for the regional model is 0.016 μm3/μm2, and 0.043 μm3/μm2 for the global model.

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Section: Aeronet Photometric Measurementsmentioning

confidence: 99%

A Regional Aerosol Model for the Middle Urals Based on CALIPSO Measurements

Nagovitsyna,

Dzholumbetov,

Karasev

et al. 2023

Atmosphere

View full text Add to dashboard Cite

show abstract

“…Spatiotemporal aerosol characteristics (aerosol optical thickness, AOT; microphysical properties) have been investigated for different regions of Russia and other countries [128][129][130][131][132][133][134][135][136][137][138][139][140][141][142][143][144][145], including polar regions [146][147][148][149][150][151][152][153][154][155], and sea regions [156][157][158][159][160]. In papers [161][162][163][164][165], chemical aerosol properties, including ion composition, have been studied.…”

Section: Tropospheric Aerosol Cloud Condensation Nuclei Ice Nucleimentioning

confidence: 99%