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2025
Wang, Q., Wang, B., Kong, W., Wu, J., Yu, Z., Wu, X., & Yuan, X.
Spatiotemporal Evolution and Influencing Factors of Aerosol Optical Depth in Zhejiang Province: Insights from Land Use Dynamics and Transportation Networks Based on Remote Sensing

Sustainability, 17(13), 6126.

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Cămărășan, H. A. et al.
Characterization of Historical Aerosol Optical Depth Dynamics Using LSTM and Peak Enhancement Techniques

Atmosphere, 16(6), 743.

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Pearson, K. et al.
Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022

Scientific Data, 12(1), 410.

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Zhu, J., Qiao, C., & Duan, M.
Retrieving Aerosol Optical Depth over Land from Landsat-8 Satellite Images with the Aid of Cloud Shadows

Remote Sensing, 17(2), 176.

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Guebsi, R., and Chokmani, K.
Effects of Large-and Meso-Scale Circulation on Uprising Dust over Bodélé in June 2006 and June 2011

Remote Sensing, 17(15), 2674.

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Hodnebrog, Ø. et al.
Strong reduction in near-surface turbulence due to aerosols in South and East Asia

npj Clean Air 1, (1), 9

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Arowolo, A.V., Ologun, A.F., Ebiendele, P. et al
Contribution of relative humidity on aerosol optical depth role in influencing the regionalization pattern of precipitation over West Africa

Discov Environ 3, 45

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Yang, X., Zhang, M., Wang, L., and Qin, W.
Influence of Temporal Representativeness of Satellite Aerosol Products on Direct Aerosol Radiative Effects

IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-15, Art no. 4106215

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Di Girolamo, L., Zhao, G., Zhang, G. et al.
Decadal changes in atmospheric circulation detected in cloud motion vectors

Nature 643, 983–987

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Junghenn Noyes, K. T. and Kahn, R. A.
Siberian wildfire smoke observations from space-based multi-angle imaging: A multi-year regional analysis of smoke particle properties, their evolution, and comparisons with North American boreal fire plumes

EGUsphere

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Pan, X., Chin, M., Kahn, R. A., Matsui, H., Takemura, T., Lin, M., Xie, Y., Kim, D., and Val Martin, M.
The Sensitivity of Smoke Aerosol Dispersion to Smoke Injection Height and Source-Strength in Multiple AeroCom Models

EGUsphere

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Zhu, Q. Z., Liu, Y., and Xiao, N.
The Frequency and Intensity of Extreme Dust Events and Related Driving Factors in Major Dust Sources Based on MERRA-2 Aerosol Reanalysis

Journal of Climate, Page(s): 4491–4504

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Tariq, S., Zeydan, Ö., Shahzad, H. et al.
Spatial, Trend, and Wavelet Analysis of AOD Over Bangladesh

Water Air Soil Pollut 236, 384

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Ramachandran, S., Ansari, K. & Cherian, R.
Air Pollution to Atmospheric Warming: Effects of Increasing Anthropogenic Aerosols on South Asia’s Climate

Earth Syst Environ

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Sawyer V, Levy RC, Mattoo S, Shi YR, Kim M, Remer LA and Cureton G
An updated VIIRS dark target aerosol product for continuity with MODIS: assessing regional aerosol trends

Front. Environ. Sci., Sec. Environmental Informatics and Remote Sensing, 13:1602145

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Algodon, M.R., Takahashi, Y., Kubota, H. et al.
3D reconstruction of typhoon Trami 2018 eye and eyewall clouds from airborne imaging

Sci Rep 15, 23721

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Xie, D. et al.
Polarization Calibration Verification of the Directional Polarimetric Camera on the Terrestrial Ecosystem Carbon Inventory Satellite

IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-12, Art no. 1001212

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Nakata M, and Mukai S.
Aerosol Distribution Due to Wildfire in Sumatra, Indonesia Considered from Model Simulation

Remote Sensing. 17(10):1657.

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Xi, X., Wang, J., Lu, Z., Sayer, A. M., Lee, J., Levy, R. C., Wang, Y., Lyapustin, A., Liu, H., Laszlo, I., Ahn, C., Torres, O., Abdullaev, S., Limbacher, J., and Kahn, R. A.
Analysis of a saline dust storm from the Aralkum Desert – Part 1: Consistency between multisensor satellite aerosol products

Atmos. Chem. Phys., 25, 7403–7429

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Zhang, B.C., et al.
Evaluation of Himawari-8/AHI land surface reflectance at mid-latitudes using LEO sensors with off-nadir observation

Remote Sensing of Environment, Volume 316, 114491

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Harshbardhan, K. and Shani, T.
Multi-sensor analysis of low-level cloudiness and its controlling factors over the Indian Ocean, Advances in Space Research

Advances in Space Research, Volume 76, Issue 5, Pages 2608-2625

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Aerenson, T., and Marchand, R.
How Do Differences in the Simulation of Present‐Day Clouds Affect Cloud Feedbacks?

Journal of Geophysical Research: Atmospheres, 130(12), e2025JD044020.

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Yang, H. et al.
Application of multi-angle spaceborne observations in characterizing the long-term particulate organic carbon pollution in China

Science of The Total Environment, 958, 177883.

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Li, Z., et al.
Focus on atmospheric remote sensing and environmental change

Environ. Res. Lett. 20 030202

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Carr, J. L., Wilson, C. M., Wilson, D. T., Wu, D. L., & Madani, H.
StereoBit: Onboard Science Data Processing for Stereo Winds

Journal of Aerospace Information Systems, 22(5), 325-335.

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Ngcoliso, N., Shikwambana, L., Mbulawa, Z., Molefe, M., & Kganyago, M.
Evaluating air pollution in South African priority areas: A qualitative comparison of satellite and in-situ data

Atmosphere, 16(7), 871.

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Digby, R. A., von Salzen, K., Monahan, A. H., Gillett, N. P., & Li, J.
The impact of uncertainty in black carbon's refractive index on simulated optical depth and radiative forcing

Atmospheric Chemistry and Physics, 25(5), 3109-3130.

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Mayol-Bracero, O. L., Prospero, J. M., Sarangi, B., Andrews, E., Colarco, P. R., Cuevas, E., ... & Zuidema, P.
“Godzilla”, the extreme African dust event of June 2020: Origins, Transport, and Impact on Air Quality in the Greater Caribbean Basin

Bulletin of the American Meteorological Society, BAMS-D.

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Guo, H. et al.
Assessing clouds in GFDL's AM4. 0 with different microphysical parameterizations using the satellite simulator package COSP

Earth and Space Science, 12(6), e2024EA004053

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Pouyaei, A., Ginoux, P., Ward, D. S., Yu, Y., & Horowitz, L. W.
Implementation of dynamic fire injection height in GFDL's Atmospheric Model (AM4. 0): Impacts on aerosol profiles and radiation

Journal of Advances in Modeling Earth Systems, 17(4), e2024MS004407.

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Masroor, A., Yongjing, M., Lingbin, K., Tan, Y., and Jinyuan, X.
The Difference in MODIS Aerosol Retrieval Accuracy over Chinese Forested Regions

Remote Sensing, 17(14), 2401

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Li, W. et al.
Estimation and evaluation of land surface reflectance from a next-generation geostationary meteorological satellite, Himawari-8/9 AHI

Journal of the Meteorological Society of Japan. Ser. II, 103(1), 87-109

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Viggiano, M. et al.
Combining Passive Infrared and Microwave Satellite Observations to Investigate Cloud Microphysical Properties: A Review

Remote Sensing, 17(2), 337.

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Zhu, Hao. et al.
Improving XCO2 retrieval under high aerosol loads with fused satellite aerosol Data: Advancing understanding of anthropogenic emissions

ISPRS Journal of Photogrammetry and Remote Sensing,

Volume 223, Pages 146-158

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Zhang, X. et al.
Dust weather in Tarim Basin derived from a dust event on April 18-21, 2023

Atmospheric Pollution Research, 102605.

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Günaydın, E. et al.
Long-term aerosol optical depth analysis and prediction over the Antarctic Peninsula

Polar Science, 101212.

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LaHaye, N. et al.
Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the Fire Influence on Regional to Global Environments and Air Quality Datasets

Remote Sensing, 17(7), 1267

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Liu, H. et al.
Tropospheric aerosols over the western North Atlantic Ocean during the winter and summer deployments of ACTIVATE 2020: life cycle, transport, and distribution

Atmos. Chem. Phys., 25, 2087–2121

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Terenzi, V. et al.
Comprehensive Validation of MODIS-MAIAC Aerosol Products and Long-Term Aerosol Detection over an Urban–Rural Area Around Rome in Central Italy

Remote Sensing, 17(12), 2051.

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Chen, L., Liu, C., Wang, J., Chen, G., Zhao, Y., Jin, Y., & Jin, H
How is the spatiotemporal representativeness of ground- and satellite-based aerosol optical depth (AOD) measurements over Asia?

Atmospheric Research, 315, 107857.

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Luo, N et al.
Distinct Spatiotemporal Patterns and Meteorological Impacts of Gobi Desert and Taklimakan Desert Dust Storms over China

Environmental Technology & Innovation, 104393

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Gao, J., Huang, Y., Wright, J. S., Li, K., Geng, T., & Yu, Q.
Estimation of aerosol and cloud radiative heating rate in the tropical stratosphere using a radiative kernel method

Geosci. Model Dev., 18, 2569–2586

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Petrenko, M. et al.
Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories

Atmospheric Chemistry and Physics, 25(3), 1545-1567.

[Full Text]
Xu, R., Yu, Y., Meng, X., Xue, H., Zhao, C., & Lin, J
Atmospheric Convection and Aerosol Absorption Boost Wildfire Smoke Injection

Geophysical Research Letters, 52(14), e2025GL115989.

[Full Text]
Kishcha P, Gertman I, and Starobinets B
Surface and Subsurface Heatwaves in the Hypersaline Dead Sea Caused by Severe Dust Intrusion

Hydrology. 2025; 12(5):114.

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Wen, Y.
A new vegetation structural scattering index (VSSI) using a kernel-driven BRDF model based on Fengyun-4A/ARGI data

Remote Sensing Applications: Society and Environment, 37, 101501.

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Abdulrahman, K
Air quality assessment by daily estimation of ground-level PM2.5 concentrations over Baghdad City using MODIS AOD data

Air Quality, Atmosphere & Health, 1-13.

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Ham, S. et al.
Zonal Cloud Trends Observed by Passive MODIS and Active CALIOP and CPR Sensors

Journal of Climate, 38(11), 2605-2622.

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Ahmed, M. F., Rana, B., Halder, B., Pramanik, M., Shakir, H. S., & Yaseen, Z. M.
Assessing atmospheric pollution in Asian major cities through sentinel-5p and google earth engine: a remote sensing approach

Theoretical and Applied Climatology, 156(9), 458

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Kahina, S., Mourad, L., and Soltane, A
Temporal and Spatial Assessment of Aerosol Optical Depths in Tizi-Ouzou, Algeria, Using Aqua-MODIS Product

Izv. Atmos. Ocean. Phys. 61, 254–266

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Zhao, R., Feng, X., Zhou, C., Zhang, Y., Leng, X., & Fu, B.
El Niño Southern oscillation events contribute significantly to the interannual variations of dust activity over East Asia

Atmospheric Research, 315, 107846.

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Ahmed, A., Tikuye, B. G., Manjunatha, B. R., Jose, J., Ramaraju, H. K., & Venkatesha, G.
Spatio-temporal Variations and Forecast of PM2.5 concentration around selected Satellite Cities of Delhi, India using ARIMA model

Physics and Chemistry of the Earth, Parts A/B/C, 138, 103849

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Ibe, O. C., Nwofor, O. K., & Okoro, U. K.
Evaluation of aerosol loading and its relationship with geopotential height in Nigeria’s Guinea Coast

Bulletin of the National Research Centre, 49(1), 11.

[Full Text]
Booloorani, D. et al.
Global map of characterized dust sources using multisource remote sensing data

Sci Rep 15, 29805

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Shahid, M. Z et al.
Characteristics of aerosols and planetary boundary layer dynamics during biomass burning season

Nat Hazards 121, 12531–12549

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Cavaliere, A et al.
Surface Broadband Radiation Data from a Bipolar Perspective: Assessing Climate Change Through Machine Learning

Climate, 13(7), 147.

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Zhang, X. X et al.
Windblown dust in the Tarim basin, Northwest China

Scientific Reports, 15(1), 11209

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Liu, H., Shu, L., Liu, X., Cheng, P., Wang, M., & Huang, Y.
Advancements in Artificial Intelligence Applications for Forest Fire Prediction

Forests 2025, 16(4), 704

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Li, S., Qi, S., & Ma, X.
Vertical Distribution of the Aerosol Mass Concentration in East Asia Using CALIPSO Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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Tan, C., Liu, C., Li, T., Luan, Z., Tang, M., & Zhao, T.
A Dynamically Updated Dust Source Function for Dust Emission Scheme: Improving Dust Aerosol Simulation on an East Asian Dust Storm

Atmosphere, 16(4), 357

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Whaley, C. H. et al.
HTAP3 Fires: towards a multi-model, multi-pollutant study of fire impacts

Geoscientific Model Development, 18(11), 3265-3309

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Madden, W. G., Qi, M., Liu, Y., & Chang, H. H.
ensembleDownscaleR: R Package for Bayesian Ensemble Averaging of PM2.5 Geostatistical Downscalers

Remote Sensing, 17(11), 1941.

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Ranaivombola, M. et al.
Characterization of aerosol optical depth (AOD) anomalies in September and October 2022 over Skukuza in South Africa

Atmospheric Chemistry and Physics, 25(6), 3519-3540.

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Xin, J. et al.
Investigation of natural and anthropogenic effects on aerosols optical properties over the Western Pacific Ocean by the Research Vessel KEXUE

Journal of Environmental Sciences, Vol 159, Pages 596-605

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Reuther, P. S., Geng, G., Liu, Y., Darrow, L. A., & Strickland, M. J.
Associations between satellite-derived estimates of PM2.5 species concentrations for organic carbon, elemental carbon, nitrate, and sulfate with birth weight and preterm birth in California during 2005–2014

Journal of Exposure Science & Environmental Epidemiology, 35(2), 233-241.

[Full Text]
Zhou, P., Geng, L., Li, J., & Wang, H.
Intercomparison of Leaf Area Index Products Derived from Satellite Data over the Heihe River Basin

Remote Sensing, 17(7), 1233

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Wadhwa, S., Khan, A. A., Kumar, A., & Jindal, P.
Temporal Dynamics and Long-Term Trends in Aerosol Optical Properties over Two Sites of Indo Gangetic Plains (IGP): Insights from AERONET Observations

Atmosphere, 16, 321.

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Jion, M. M. M. F. et al.
A critical review of NO2 and AOD in major Asian cities: challenges, mitigation approaches and way forwards

Air Quality, Atmosphere & Health, 18(1), 43-59.

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Zaman, N. A. F. K
Twenty-Five Years of Satellite-Based Particulate Matter Estimation: A Bibliometric Analysis

Journal of Advanced Geospatial Science & Technology, 5(2), 266-285.

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Panicker, N. K. K., & Valarmathi, J.
Time series prediction of aerosol optical depth across the northern Indian region: integrating PSO-optimized SARIMA-SVR based on MODIS data

Acta Geophysica, 73(2), 2097-2126

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Mohammad, L., Bandyopadhyay, J., Mondal, I., Altuwaijri, H. A., Hossain, S. A., Juliev, M., & Almaliki, A. H.
Air pollution and respiratory health risks in Jharkhand: a remote sensing and statistical approach

Environmental Monitoring and Assessment, 197(5), 540

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Deng, S., Bai, T., Chen, Z., & Chen, Y.
A Novel Aerosol Optical Depth Retrieval Method Based on SDAE from Himawari-8/AHI Next-Generation Geostationary Satellite in Hubei Province

Remote Sensing, 17(8), 1396.

[Full Text]
Duran, B. M. et al.
A new method for diagnosing effective radiative forcing from aerosol–cloud interactions in climate models

Atmospheric Chemistry and Physics, 25(4), 2123-2146.

[Full Text]
Soni, P. S. et al.
Study of Aerosols Optical Depth and Ångström Exponent Over IGP: A Case Study

Aerosol Science and Engineering, 1-13.

[Full Text]
Roșu, I. A., Mourgela, R. N., Kasoar, M., Boleti, E., Parrington, M., & Voulgarakis, A.
Large-scale impacts of the 2023 Canadian wildfires on the Northern Hemisphere atmosphere

npj Clean Air, 1(1), 22

[Full Text]
Wang, Z. et al.
Aerosol Retrieval Method Using Multi-Angle Data from GF-5 02 DPC over the Jing–Jin–Ji Region

Remote Sensing, 17(8), 1415.

[Full Text]
Gil-Díaz, C. et al.
Study of optical scattering properties and direct radiative effects of high-altitude cirrus clouds in Barcelona, Spain, with 4 years of lidar measurement

Atmospheric Chemistry and Physics, 25(6), 3445-3464.

[Full Text]
Awoleye, P. O., Ogunjobi, K. O., & Balogun, I. A
Climatology and dynamics of aerosol optical properties from selected AERONET sites over West Africa

Discover Atmosphere, 3(1), 1-14.

[Full Text]
Wei, G. et al.
Influences of Meteorological Factors on Aerosol Optical Depth and Near-Surface Aerosol Extinction Coefficient

J Indian Soc Remote Sens

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Chen, Q. et al.
Accelerated surface brightening in China: The decisive role of reduced anthropogenic aerosol emissions

Atmospheric Environment, Volume 340, id.120893

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Wu, X., Wu, C., Lin, Z., & Yang, M.
Intra-seasonal variations of dust activity over East Asia in spring 2023 and their mechanisms

Global and Planetary Change, 244, 104638.

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Wang, H., Wang, M., Jiang, P., Ma, F., Gao, Y., Gu, X., & Luan, Q.
Research on Time Series Interpolation and Reconstruction of Multi-Source Remote Sensing AOD Product Data Using Machine Learning Methods

Atmosphere, 16(6), 655

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Ji, Z., Li, Z., Zhang, Z., De Leeuw, G., Ma, Y., & Shi, Z.
An Aerosol Retrieval Algorithm Over Land From Multispectral Single-Viewing Measurements of Intensity and Polarization

IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-14, 2025, Art no. 4104814

[Full Text]
Peng, W., Weng, F., & Ye, C
The Impact of MERRA-2 and CAMS Aerosol Reanalysis Data on FengYun-4B Geostationary Interferometric Infrared Sounder Simulations

Remote Sensing, 17(5), 761

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Lin, H., Li, J., Min, M., Zhang, F., Wang, K., & Wu, Q.
CLANN: Cloud amount neural network for estimating 3D cloud from geostationary satellite imager

Remote Sensing of Environment, 318, 114600.

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Wang, C. et al.
Interpretable LAI Fine Inversion of Maize by Fusing Satellite, UAV Multispectral, and Thermal Infrared Images

Agriculture, 15(3), 243.

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Wang, C. et al.
Evaluation of MODIS and VIIRS BRDF Parameter Differences and Their Impacts on the Derived Indices

Remote Sens. 2025, 17(11), 1803

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Zhao, H., et al.
Long-term distribution and evolution trends of absorption aerosol optical depth with different chemical components in global and typical regions

Atmospheric Research, 314, 107819.

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Yoon, J. W., Lee, S., Lee, E., and Park, S. K
Evaluation of dust emission and land surface schemes in predicting a mega Asian dust storm over South Korea using WRF-Chem

Geosci. Model Dev., 18, 2303–2328

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O'Neill, N. T., Ranjbar, K., Ivănescu, L., Blanchard, Y., Sayedain, S. A., & AboEl-Fetouh, Y.
Remote-sensing detectability of airborne Arctic dust

Atmos. Chem. Phys., 25, 27–44

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Fan, Y., Sun, L., & Liu, X.
Multi-parameter Aerosol Simultaneous Retrieval Combining Satellite Remote Sensing and Atmospheric Simulation using Space-time Transformer (STTF) Model

IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-18, 2025, Art no. 4103018,

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Meng, X., Yu, Y., and Ginoux, P
Rise in dust emissions from burned landscapes primarily driven by small fires

Nature Geoscience, 1-7.

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Pashayi, M., Satari, M., & Momeni Shahraki, M
Multi-layer retrieval of aerosol optical depth in the troposphere using SEVIRI data: a case study of the European continent

Atmospheric Measurement Techniques, 18(6), 1415-1439.

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Coddington, O et al.
The Black Array of Broadband Absolute Radiometers Earth Radiation Imager: Science Requirements, Instrument Design, and Concept of Operations

Advances in Atmospheric Sciences, 1-25.

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Khatri, P., Hayasaka, T., Patra, P. K., Letu, H., Jethva, H., & Hayashida, S.
Unveiling the effects of post-monsoon agricultural biomass burning on aerosols, clouds, and radiation in Northwest India

Prog Earth Planet Sci 12, 11

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Si, Y et al.
Coupling Hourly Land Surface Models With Spatiotemporal Variability Characteristics: A Study on FY-4B/AGRI Land Aerosol Retrieval Algorithm

IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-20, 2025, Art no. 4107820,

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Cui, C et al.
Increasing Coarse Aerosols Mitigated the Warming Effect of Anthropogenic Fine Particle Reductions in Europe

Earth's Future, 13(4), e2025EF006044

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Proestakis, E et al.
Quantifying dust deposition over the Atlantic Ocean

Earth System Science Data, 17(9), 4351-4395.

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Aditi, K., Pandey, A., & Banerjee, T.
Forest fire emission estimates over South Asia using Suomi-NPP VIIRS-based thermal anomalies and emission inventory

Environmental Pollution, 366, 125441.

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Wan, C., Xu, H., Luo, W., Ma, J., & Li, Z.
Estimation of regional PM2.5 concentration in China based on fine-mode aerosol optical thickness (AODf) and study of influencing factors

Atmospheric Environment, 344, 121026.

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