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Aerosol optical characteristics AOD and \AA ngstr\"om exponent is often used to asses environmental aerosol loading. AOD or Aerosol Optical Depth is an indirect measure of atmospheric aerosol loading by means of total extinction of incoming…

Atmospheric and Oceanic Physics · Physics 2014-03-31 Subhasis Banerjee , Sanjay K. Ghosh

Accurate estimation of Aerosol Optical Depth (AOD) is crucial for understanding climate change and its impacts on public health, as aerosols are a measure of air quality conditions. AOD is usually retrieved from satellite imagery at coarse…

Applications · Statistics 2025-11-11 Fernando Rodriguez Avellaneda , Paula Moraga

Aerosols exhibit periodic or cyclic variations depending on natural and anthropogenic sources over a region, which can get modulated by synoptic meteorological parameters such as winds, rainfall and relative humidity, and long-range…

Atmospheric and Oceanic Physics · Physics 2013-03-26 S. Ramachandran , Sayantan Ghosh , Amit Verma , Prasanta K. Panigrahi

Aerosols play a critical role in atmospheric chemistry, and affect clouds, climate, and human health. However, the spatial coverage of satellite-derived aerosol optical depth (AOD) products is limited by cloud cover, orbit patterns, polar…

This study presents an extended analysis of aerosol optical depth at 501 nm (AOD) in the Alpine valley of Innsbruck, Austria, from 2007 to 2023, and offers a comparative analysis with the Alpine station of Davos, Switzerland. AOD is derived…

Atmospheric and Oceanic Physics · Physics 2024-01-01 Jochen Wagner , Alma Anna Ubele , Verena Schenzinger , Axel Kreuter

Atmospheric turbidity is one of the key factors influencing the propagation of artificial light into the environment during cloudless nights. High aerosol loading can reduce the visibility of astronomical objects, and thus information on…

Instrumentation and Methods for Astrophysics · Physics 2023-06-13 Miroslav Kocifaj , František Kundracik , John Barentine

Geostationary observations offer the unique opportunity to resolve the diurnal cycle of the Earth's Radiation Budget at the top of the atmosphere (TOA), crucial for climate-change studies. However, a drawback of the continuous temporal…

Atmospheric and Oceanic Physics · Physics 2021-04-28 Alexandre Payez , Steven Dewitte , Nicolas Clerbaux

Measurements made by satellite remote sensing, Moderate Resolution Imaging Spectroradiometer (MODIS), and globally distributed Aerosol Robotic Network (AERONET) are compared. Comparison of the two datasets measurements for aerosol optical…

Machine Learning · Statistics 2015-06-15 N. K. Malakar , D. J. Lary , D. Gencaga , A. Albayrak , J. Wei

Atmospheric aerosols can cause serious damage to human health and life expectancy. Using the radiances observed by NASA's Multi-angle Imaging SpectroRadiometer (MISR), the current MISR operational algorithm retrieves Aerosol Optical Depth…

Applications · Statistics 2012-07-30 Yueqing Wang , Xin Jiang , Bin Yu , Ming Jiang

Satellite aerosol products have been widely used to retrieve ground PM2.5 concentration because of its wide coverage and continuously spatial distribution. While more and more studies focus on the retrieval algorithm, we find that the…

Geophysics · Physics 2018-08-20 Qianqian Yang , Qiangqiang Yuan , Linwei Yue , Tongwen Li , Huanfeng Shen , Liangpei Zhang

A comparison of modeled and observed Aerosol Optical Depth (AOD) is presented. 3D Eulerian multiphase chemistry-transport model TCAM is employed for simulating AOD at mesoscale. MODIS satellite sensor and AERONET photometer AOD are used for…

Atmospheric and Oceanic Physics · Physics 2011-07-15 C. Carnevale , G. Mannarini , E. Pisoni , M. Volta

Black carbon and mineral dust are key absorbing aerosols that influence atmospheric radiation and increasingly threaten global cryospheric stability. This study examines the long-range transport and seasonal variability of these aerosols…

Atmospheric and Oceanic Physics · Physics 2026-02-18 Abira Sengupta , Ayoti Banerjee , Sarbani Palit , Brendon Woodford

One of the techniques for estimating the surface particle concentration with a diameter of fewer than 2.5 micrometers (PM2.5) is using aerosol optical depth (AOD) products. Different AOD products are retrieved from various satellite…

Computer Vision and Pattern Recognition · Computer Science 2023-02-22 Ali Mirzaei , Hossein Bagheri , Mehran Sattari

The integration of satellite-derived aerosol optical depth (AOD) and station-measured PM2.5 provides a promising approach for obtaining spatial PM2.5 data. Several spatiotemporal models, which considered spatial and temporal heterogeneities…

Atmospheric and Oceanic Physics · Physics 2018-11-14 Tongwen Li , Huanfeng Shen , Qiangqiang Yuan , Liangpei Zhang

Almost all remote sensing atmospheric PM2.5 estimation methods need satellite aerosol optical depth (AOD) products, which are often retrieved from top-of-atmosphere (TOA) reflectance via an atmospheric radiative transfer model. Then, is it…

Atmospheric and Oceanic Physics · Physics 2019-02-28 Huanfeng Shen , Tongwen Li , Qiangqiang Yuan , Liangpei Zhang

We present, for the first time, spectral behaviour of aerosol optical depths (AODs) over Manora Peak, Nainital located at an altitude of $\sim$ 2 km in the Shivalik ranges of central Himalayas. The observations were carried out using a…

Atmospheric and Oceanic Physics · Physics 2015-06-26 Ram Sagar , Brijesh Kumar , U. C. Dumka , K. Krishna Moorthy , P. Pant

Aerosol Optical Depth (AOD) retrieval is essential for Earth observation, supporting applications from air quality monitoring to climate studies. Conventional physics-based AOD retrieval methods formulate the problem as a pixel-wise…

Computer Vision and Pattern Recognition · Computer Science 2026-05-04 Zahid Hassan Tushar , Sanjay Purushotham

Aerosol scattering influences the retrieval of the column-averaged dry-air mole fraction of CO2 (XCO2) from the Orbiting Carbon Observatory-2 (OCO-2). This is especially true for surfaces with reflectance close to a critical value where…

Atmospheric and Oceanic Physics · Physics 2022-01-26 Sihe Chen , Vijay Natraj , Zhao-Cheng Zeng , Yuk-ling Yung

Reanalysis datasets combining numerical physics models and limited observations to generate a synthesised estimate of variables in an Earth system, are prone to biases against ground truth. Biases identified with the NASA Modern-Era…

Machine Learning · Computer Science 2019-10-16 Caleb Hoyne , S. Karthik Mukkavilli , David Meger

There has been growing interest in extending the coverage of ground PM2.5 monitoring networks based on satellite remote sensing data. With broad spatial and temporal coverage, satellite based monitoring network has a strong potential to…

Applications · Statistics 2018-09-14 Yikai Wang , Xuefei Hu , Howard Chang , Lance Waller , Jessica Belle , Yang Liu
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