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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Main Authors: Ekaterina S. Nagovitsyna, Sergey K. Dzholumbetov, Alexander A. Karasev, Vassily A. Poddubny
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/15/1/48
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author Ekaterina S. Nagovitsyna
Sergey K. Dzholumbetov
Alexander A. Karasev
Vassily A. Poddubny
author_facet Ekaterina S. Nagovitsyna
Sergey K. Dzholumbetov
Alexander A. Karasev
Vassily A. Poddubny
author_sort Ekaterina S. Nagovitsyna
collection DOAJ
description 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 μm<sup>3</sup>/μm<sup>2</sup>, and 0.043 μm<sup>3</sup>/μm<sup>2</sup> for the global model.
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spelling doaj.art-399f85c61f414ce589c565419b9aecc82024-01-26T15:01:51ZengMDPI AGAtmosphere2073-44332023-12-011514810.3390/atmos15010048A Regional Aerosol Model for the Middle Urals Based on CALIPSO MeasurementsEkaterina S. Nagovitsyna0Sergey K. Dzholumbetov1Alexander A. Karasev2Vassily A. Poddubny3Institute of Industrial Ecology, Ural Branch, Russian Academy of Sciences, 620000 Ekaterinburg, RussiaInstitute of Industrial Ecology, Ural Branch, Russian Academy of Sciences, 620000 Ekaterinburg, RussiaInstitute of Industrial Ecology, Ural Branch, Russian Academy of Sciences, 620000 Ekaterinburg, RussiaInstitute of Industrial Ecology, Ural Branch, Russian Academy of Sciences, 620000 Ekaterinburg, RussiaThe 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 μm<sup>3</sup>/μm<sup>2</sup>, and 0.043 μm<sup>3</sup>/μm<sup>2</sup> for the global model.https://www.mdpi.com/2073-4433/15/1/48Middle Uralsregional aerosol modelAERONETCALIPSOHYSPLIT
spellingShingle Ekaterina S. Nagovitsyna
Sergey K. Dzholumbetov
Alexander A. Karasev
Vassily A. Poddubny
A Regional Aerosol Model for the Middle Urals Based on CALIPSO Measurements
Atmosphere
Middle Urals
regional aerosol model
AERONET
CALIPSO
HYSPLIT
title A Regional Aerosol Model for the Middle Urals Based on CALIPSO Measurements
title_full A Regional Aerosol Model for the Middle Urals Based on CALIPSO Measurements
title_fullStr A Regional Aerosol Model for the Middle Urals Based on CALIPSO Measurements
title_full_unstemmed A Regional Aerosol Model for the Middle Urals Based on CALIPSO Measurements
title_short A Regional Aerosol Model for the Middle Urals Based on CALIPSO Measurements
title_sort regional aerosol model for the middle urals based on calipso measurements
topic Middle Urals
regional aerosol model
AERONET
CALIPSO
HYSPLIT
url https://www.mdpi.com/2073-4433/15/1/48
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