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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…

High-quality reconstruction of Aerosol Optical Depth (AOD) fields is critical for Atmosphere monitoring, yet current models remain constrained by the scarcity of complete training data and a lack of uncertainty quantification.To address…

Machine Learning · Computer Science 2026-01-01 Linhao Fan , Hongqiang Fang , Jingyang Dai , Yong Jiang , Qixing Zhang

Quantifying the vertical distribution of atmospheric aerosols is crucial for estimating their impact on the Earth energy budget and climate, improving forecast of air pollution in cities, and reducing biases in the retrieval of greenhouse…

Atmospheric and Oceanic Physics · Physics 2019-08-19 Zhao-Cheng Zeng , Sihe Chen , Vijay Natraj , Tianhao Le , Feng Xu , Aronne Merrelli , David Crisp , Stanley P. Sander , Yuk L. Yung

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

Aerosol-cloud interactions constitute the largest source of uncertainty in assessments of the anthropogenic climate change. This uncertainty arises in part from the difficulty in measuring the vertical distributions of aerosols, and only…

Atmospheric and Oceanic Physics · Physics 2022-05-24 Shahine Bouabid , Duncan Watson-Parris , Sofija Stefanović , Athanasios Nenes , Dino Sejdinovic

The new method for aerosol measurement using wide-field stellar photometry was originally developed for B-filter data. The dependence of VAOD (vertical aerosol optical depth) on wavelength can be used to understand the physical…

Instrumentation and Methods for Astrophysics · Physics 2025-05-06 Shefali Negi , Jan Ebr , Sergey Karpov , Jiří Eliášek

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

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

Wildland fires pose an increasingly serious problem in our society. The number and severity of these fires has been rising for many years. Wildfires pose direct threats to life and property as well as threats through ancillary effects like…

Machine Learning · Computer Science 2022-04-05 James D. Haley

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

Continuous aerosol monitoring in East Asia is essential due to the massive aerosol emissions from natural and anthropogenic sources. Geostationary satellites enable continuous aerosol monitoring; however, the observation is limited to the…

Atmospheric and Oceanic Physics · Physics 2024-05-24 Sanghyeon Song , Yoojin Kang , Jungho Im

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

Due to recent climate changes, we have seen more frequent and severe wildfires in the United States. Predicting wildfires is critical for natural disaster prevention and mitigation. Advances in technologies in data processing and…

Machine Learning · Computer Science 2022-09-22 Hyung-Jin Yoon , Petros Voulgaris

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

Wildfires are a major producer of fine particulate matter, impacting human health and the electrical grid. Accurately forecasting smoke impacts over long time scales incorporates fuel treatment strategies, natural fuel succession, and…

Machine Learning · Computer Science 2026-05-07 Zachary Morrow , Joseph Crockett , John D. Jakeman , Dan J. Krofcheck

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

Earth Observation imagery can capture rare and unusual events, such as disasters and major landscape changes, whose visual appearance contrasts with the usual observations. Deep models trained on common remote sensing data will output…

Computer Vision and Pattern Recognition · Computer Science 2024-04-22 Georges Le Bellier , Nicolas Audebert

Wildfires pose a serious threat to the environment of the world. The global wildfire season length has increased by 19% and severe wildfires have besieged nations around the world. Every year, forests are burned by wildfires, causing vast…

Artificial Intelligence · Computer Science 2023-12-13 Prisha Shroff

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

Increasing wildfire occurrence has spurred growing interest in wildfire spread prediction. However, even the most complex wildfire models diverge from observed progression during multi-day simulations, motivating need for data assimilation.…

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