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

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 Pathfinde...

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Bibliographic Details
Published in:Atmosphere 2024-01, Vol.15 (1), p.48
Main Authors: Nagovitsyna, Ekaterina S., Dzholumbetov, Sergey K., Karasev, Alexander A., Poddubny, Vassily A.
Format: Article
Language:English
Subjects:
AERONET
Aerosol particles
Aerosol Robotic Network
Aerosols
Air trajectories
Aircraft
Algorithms
Altitude
Atmosphere
Atmospheric aerosols
Atmospheric models
Atmospheric particulates
Attenuation coefficients
CALIPSO
CALIPSO (Pathfinder satellite)
Clouds
Environmental aspects
Extinction coefficient
Global aerosols
HYSPLIT
Inverse problems
Lidar
Lidar measurements
Meteorological satellites
Middle Urals
Particle size
Radiation
regional aerosol model
Regional development
Remote sensing
Satellite observation
Satellites
Smoke
Software packages
Wave attenuation
Wavelength
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Summary: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.
ISSN:2073-4433
2073-4433
DOI:10.3390/atmos15010048