Classification of global aerosol types and its radiative effects using Aerosol Robotic Network (AERONET) data
| dc.contributor.author | Mukhopadhyay, Swagata | |
| dc.contributor.author | Ningombam, Shantikumar S. | |
| dc.contributor.author | Amoghavarsha, A. V. | |
| dc.contributor.author | Madhavan, B. L. | |
| dc.contributor.author | Eck, Thomas | |
| dc.contributor.author | Dumka, Umesh Chandra | |
| dc.contributor.author | Khatri, Pradeep | |
| dc.contributor.author | Gupta, Pawan | |
| dc.date.accessioned | 2025-10-22T19:58:07Z | |
| dc.date.issued | 2025-09-12 | |
| dc.description.abstract | The present study performed classification global aerosols based on particle linear depolarization ratio (PLDR) and single scattering albedo (SSA) provided from AErosol RObotic NETwork (AERONET) Version 3.0 and Level 2.0 inversion products of 171 AERONET sites located in six continents. Current methodology could distinguish effectively between dust and non-dust aerosols using PLDR and SSA. These selected sites include dominant aerosol types such as, pure dust (PD), dust dominated mixture (DDM), pollution dominated mixture (PDM), very weakly absorbing (VWA), strongly absorbing (SA), moderately absorbing(MA), and weakly absorbing (WA). Biomass-burning aerosols which are associated with black carbon are assigned as combinations of WA, MA and SA. The key important findings show the sites in the Northern African region are predominantly influenced by PD, while south Asian sites are characterized by DDM as well as mixture of dust and pollution aerosols. Urban and industrialized regions located in Europe and North American sites are characterized by VWA, WA, and MA aerosols. Tropical regions, including South America, South-east-Asia and southern African sites which prone to forest and biomass-burning, are dominated by SA aerosols. The study further examined the impacts by radiative forcing for different aerosol types. Among the aerosol types, SA and VWA contribute with the highest (30.14 ± 8.04 Wm⁻²) and lowest (7.83 ± 4.12 Wm⁻²) atmospheric forcing, respectively. Consequently, atmospheric heating rates are found to be highest by SA (0.85 K day⁻¹) and lowest by VWA aerosols (0.22 Kday⁻¹). The current study provides a comprehensive report on aerosol optical, micro-physical and radiative properties for different aerosol types across six continents. | |
| dc.description.sponsorship | The authors are thankful to the anonymous Reviewers for providing constructive comments and suggestions which have strengthened to improve the quality of the manuscript significantly. The AERONET data (Version 3.0 and Level 2.0) used in the present work are taken from 171 sites across the globe which constitutes 6 continents (Africa, Asia, Australia, Europe, North and South America) from the website: https://aeronet.gsfc.nasa.gov and the authors are thankful to the PI, Co-PIs and their staff of the respective AERONET sites who maintain the data for scientific use. We also acknowledge for using global Land Used and Land cover products in the current work from the European Space Agency (ESA), France Climate Change Initiative (CCI) data. Among the authors, SM and SSN thank the Ministry of Earth Sciences, Government of India for providing financial support under the project grant number: MoES/16/02/2021-RDESS. | |
| dc.description.uri | https://www.sciencedirect.com/science/article/pii/S1352231025005059 | |
| dc.format.extent | 18 pages | |
| dc.genre | journal articles | |
| dc.identifier | doi:10.13016/m2khfp-8kz3 | |
| dc.identifier.citation | Mukhopadhyay, Swagata, Shantikumar S. Ningombam, A. V. Amoghavarsha, et al. “Classification of Global Aerosol Types and Its Radiative Effects Using Aerosol Robotic Network (AERONET) Data.” Atmospheric Environment 362, September 12, 2025, 121530. https://doi.org/10.1016/j.atmosenv.2025.121530. | |
| dc.identifier.uri | https://doi.org/10.1016/j.atmosenv.2025.121530 | |
| dc.identifier.uri | http://hdl.handle.net/11603/40544 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC GESTAR II | |
| dc.rights | This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | |
| dc.rights | Public Domain | |
| dc.rights.uri | https://creativecommons.org/publicdomain/mark/1.0/ | |
| dc.subject | Biomass-burning aerosols | |
| dc.subject | AERONET | |
| dc.subject | Inversion products | |
| dc.subject | Radiative forcing | |
| dc.subject | Particle linear depolarization ratio | |
| dc.title | Classification of global aerosol types and its radiative effects using Aerosol Robotic Network (AERONET) data | |
| dc.type | Text |
