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A Regional Aerosol Model for the Middle Urals Based on CALIPSO Measurements. / Nagovitsyna, Ekaterina; Dzholumbetov, Sergey; Karasev, Alexander и др.
в: Atmosphere, Том 15, № 1, 48, 2024.

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@article{40d90340bafe434bb2db5479abc631b8,
title = "A Regional Aerosol Model for the Middle Urals Based on CALIPSO Measurements",
abstract = "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. {\textcopyright} 2023 by the authors.",
author = "Ekaterina Nagovitsyna and Sergey Dzholumbetov and Alexander Karasev and Vassily Poddubny",
note = "This research was funded by Russian Science Foundation grant number 22-21-00278, https://rscf.ru/project/22-21-00278/, accessed on 10 November 2023.",
year = "2024",
doi = "10.3390/atmos15010048",
language = "English",
volume = "15",
journal = "Atmosphere",
issn = "2073-4433",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "1",

}

RIS

TY - JOUR

T1 - A Regional Aerosol Model for the Middle Urals Based on CALIPSO Measurements

AU - Nagovitsyna, Ekaterina

AU - Dzholumbetov, Sergey

AU - Karasev, Alexander

AU - Poddubny, Vassily

N1 - This research was funded by Russian Science Foundation grant number 22-21-00278, https://rscf.ru/project/22-21-00278/, accessed on 10 November 2023.

PY - 2024

Y1 - 2024

N2 - 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. © 2023 by the authors.

AB - 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. © 2023 by the authors.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85183327803

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=001149190000001

U2 - 10.3390/atmos15010048

DO - 10.3390/atmos15010048

M3 - Article

VL - 15

JO - Atmosphere

JF - Atmosphere

SN - 2073-4433

IS - 1

M1 - 48

ER -

ID: 52298606