Significant rise in aerosol concentration in the past two decades over the Kalinga Nagar industrial area, Odisha, India

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 437 - 448

Published: Jan. 1, 2025

Language: Английский

---

Aerosol–Climate Interaction in the South Asian Region: A Focused Exploration of the Impacts of Ozone, Black Carbon, Optical Properties and Radiative Forcing in a Region of Significant Climate Change Dynamics

International Journal of Climatology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

ABSTRACT In South Asia, our understanding of atmospheric aerosols and their optical properties is limited, posing a challenge to comprehending climate change dynamics. This study characterises aerosol properties, radiative black carbon (BC) ozone (O 3 ) at seven Asian locations, including Nam Co (Tibetan Plateau, TP), Dhaka, Bhola (Bangladesh), Hanimaadhoo, Kashidhoo, Male' Gan (Maldives). The utilises columnar data from the Aerosol Robotic Network (AERONET) reanalysis Modern‐Era Retrospective Analysis for Research Applications (MERRA‐2) 2001 2020. Notably, during winter, highest depth (AOD) levels were observed in Dhaka (1.0 ± 0.5) (0.8 0.4) among these locations. BC concentrations ranged 2.1 2.8 μg m −3 , while recorded between 1.4 . O across Maldives sites remained consistent, with values ranging 314 345 dobson units (DU), surpassing those Bangladesh TP. analysis shows significant difference rate which atmosphere heats (HR) up due aerosols. Higher heating rates over Kashidhoo post‐monsoon winter seasons, lower seen pre‐monsoon monsoon compared Hanimaadhoo Male'. It important note that had higher HR than Maldives. helps us better understand impact on Asia's different seasonal patterns.

Language: Английский

---

Enhancing global aerosol retrieval from satellite data via deep learning with mutual information estimation

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2025, Volume and Issue: 139, P. 104534 - 104534

Published: April 14, 2025

Language: Английский

---

Integration of Surface Reflectance and Aerosol Retrieval Algorithms for Multi-Resolution Aerosol Optical Depth Retrievals over Urban Areas

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(2), P. 373 - 373

Published: Jan. 13, 2022

The SEMARA approach, an integration of the Simplified and Robust Surface Reflectance Estimation (SREM) Aerosol Retrieval Algorithm (SARA) methods, was used to retrieve aerosol optical depth (AOD) at 550 nm from a Landsat 8 Operational Land Imager (OLI) 30 m spatial resolution, Terra-Moderate Resolution Imaging Spectroradiometer (MODIS) 500 Visible Infrared Radiometer Suite (VIIRS) 750 resolution over bright urban surfaces in Beijing. approach coupled (1) SREM method that is estimate surface reflectance, which does not require information about water vapor, ozone, aerosol, (2) SARA algorithm, uses reflectance estimated by AOD measurements obtained Robotic NETwork (AERONET) site (or other high-quality AOD) as input without prior on microphysical properties usually look-up table constructed long-term AERONET data. In present study, were Beijing site. retrievals validated against two sites located locations Beijing, i.e., Beijing_RADI Beijing_CAMS, surfaces. accuracy uncertainties/errors assessed using Pearson’s correlation coefficient (r), root mean squared error (RMSE), relative bias (RMB), expected (EE = ± 0.05 20%). EE envelope encompassing both absolute errors contains 68% (±1σ) good quality based global validation. Here, MODIS Dark Target algorithm 3 km report retrievals. validation results show correlates well with high coefficients (r) 0.988, 0.980, 0.981; small RMSE 0.08, 0.09, 0.08; RMB 4.33%, 1.28%, −0.54%. High percentages retrievals, 85.71%, 91.53%, 90.16%, within for OLI, MODIS, VIIRS, respectively. suggest capable retrieving areas medium satellite remote sensing This can be monitoring such frequently affected severe dust storms haze pollution, evaluate their effects public health.

Language: Английский

---

Aerosol climatology characterization over Bangladesh using ground-based and remotely sensed satellite measurements

Elementa Science of the Anthropocene, Journal Year: 2022, Volume and Issue: 10(1)

Published: Jan. 1, 2022

Atmospheric aerosols affect human health, alter cloud optical properties, influence the climate and radiative balance, contribute to cooling of atmosphere. Aerosol climatology based on aerosol robotic network (AERONET) ozone monitoring instrument (OMI) data from two locations (Urban Dhaka coastal Bhola Island) over Bangladesh was conducted for 8 years (2012–2019), focusing characterization schemes. Four parameters, such as extinction angstrom exponent (EAE), absorption AE (AAE), single scattering albedo (SSA), real refractive index (RRI), were exclusively discussed determine types aerosol. In addition, light properties inspected tagging association between size parameters similar fine mode fraction (FMF), AE, (SSA AAE). Results depth (AAOD) validated with satellite-borne cloud–aerosol lidar infrared pathfinder satellite observation (CALIPSO) subtype profiles. The overall average values AAOD (0.110 ± 0.002) [0.106, 0.114] (0.075 0.001) [0.073, 0.078], respectively. derived by OMI (0.024 0.001 [0.023, 0.025] Dhaka, 0.023 0.024] Bhola). Two potentially identified, example, biomass burning urban/industrial insignificant contribution dust Black carbon (BC) prominent absorbing (45.9%–89.1%) in all seasons negligible contributions mixed BC and/or alone. Correlations FMF SSA confirmed that dominant type Bhola. CALIPSO’s vertical information consistent AERONET column information. results will have a substantial impact forcing, modeling well air quality management Southeast Asia’s heavily polluted territories.

Language: Английский

---