AERONET
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About
AERONET (Aerosol Robotic Network) is a NASA-sponsored, globally distributed network of ground-based Sun-sky scanning radiometers (Cimel photometers) that continuously measure aerosol optical properties throughout the atmosphere. Established in the 1990s, the network collects standardized measurements of aerosol optical depth (AOD), particle size distributions, absorption characteristics, and related atmospheric properties across hundreds of sites worldwide. In robotics and AI, AERONET serves primarily as a critical ground-truth validation dataset. Satellite-based instruments such as MODIS, MISR, and TOMS retrieve aerosol properties from space, but require accurate surface-level reference data to confirm their algorithms are performing correctly. AERONET provides these highly accurate, quality-controlled reference measurements. Machine learning models developed for atmospheric correction, air quality monitoring, and climate modeling are regularly trained and validated against AERONET data. AERONET matters because aerosols profoundly affect satellite image quality, climate forcing, and air quality assessments. Without reliable ground-truth measurements, autonomous environmental monitoring systems and remote sensing algorithms cannot be trusted. The network's long-term, standardized, freely accessible database enables researchers and engineers worldwide to develop and benchmark increasingly accurate AI-driven atmospheric retrieval algorithms, improving everything from weather prediction to autonomous vehicle perception in hazy conditions.
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The MODIS Aerosol Algorithm, Products, and Validation
L. A. Remer, Yoram J. Kaufman, D. Tanré, S. Mattoo, D. A. Chu, J. Vanderlei Martins, R.‐R. Li, Charles Ichoku, R. C. Levy, R. G. Kleidman, T. F. Eck, Éric Vermote, B. N. Holben
Citations: 3433 • 2005
Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements
Оleg Dubovik, A. Smirnov, B. N. Holben, Michael D. King, Yoram J. Kaufman, T. F. Eck, I. Slutsker
Citations: 1987 • 2000
Cloud-Screening and Quality Control Algorithms for the AERONET Database
A. Smirnov, B. N. Holben, T. F. Eck, Оleg Dubovik, I. Slutsker
Citations: 1510 • 2000
Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance
R. C. Levy, L. A. Remer, S. Mattoo, Éric Vermote, Yoram J. Kaufman
Citations: 1396 • 2007
Aerosol properties over bright-reflecting source regions
N. C. Hsu, Si‐Chee Tsay, Michael D. King, J. R. Herman
Citations: 1395 • 2004
Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements
D. M. Giles, A. Sinyuk, M. G. Sorokin, Joel S. Schafer, A. Smirnov, I. Slutsker, T. F. Eck, B. N. Holben, Jasper R. Lewis, James R. Campbell, Ellsworth J. Welton, Sergey Korkin, Alexei Lyapustin
Citations: 1372 • 2019
A review of biomass burning emissions part III: intensive optical properties of biomass burning particles
Jeffrey S. Reid, T. F. Eck, Sundar A. Christopher, R. Koppmann, Оleg Dubovik, Daniel P. Eleuterio, B. N. Holben, Elizabeth A. Reid, Jianglong Zhang
Citations: 1227 • 2005
Enhanced Deep Blue aerosol retrieval algorithm: The second generation
N. Christina Hsu, Myeong-Jae Jeong, C. Bettenhausen, A. M. Sayer, Richard A. Hansell, C. S. Seftor, Jingfeng Huang, S. Tsay
Citations: 1202 • 2013
Angstrom exponent and bimodal aerosol size distributions
Gregory L. Schuster, Оleg Dubovik, B. N. Holben
Citations: 937 • 2006
Validation of MODIS aerosol optical depth retrieval over land
D. A. Chu, Yoram J. Kaufman, Charles Ichoku, L. A. Remer, D. Tanré, B. N. Holben
Citations: 861 • 2002
MODIS Collection 6 aerosol products: Comparison between Aqua's e‐Deep Blue, Dark Target, and “merged” data sets, and usage recommendations
A. M. Sayer, L. A. Munchak, N. Christina Hsu, R. C. Levy, C. Bettenhausen, Myeong-Jae Jeong
Citations: 763 • 2014
Online simulations of global aerosol distributions in the NASA GEOS‐4 model and comparisons to satellite and ground‐based aerosol optical depth
Peter R. Colarco, Arlindo da Silva, Mian Chin, T. Diehl
Citations: 752 • 2010
Global aerosol optical properties and application to Moderate Resolution Imaging Spectroradiometer aerosol retrieval over land
R. C. Levy, L. A. Remer, Оleg Dubovik
Citations: 728 • 2007
Aerosol‐type‐dependent lidar ratios observed with Raman lidar
Detlef Müller, Albert Ansmann, Ina Mattis, Matthias Tesche, Ulla Wandinger, Dietrich Althausen, Gianluca Pisani
Citations: 697 • 2007
Absorption Angstrom Exponent in AERONET and related data as an indicator of aerosol composition
Philip B. Russell, R. W. Bergstrom, Y. Shinozuka, A. D. Clarke, P. F. DeCarlo, J. L. Jiménez, J. M. Livingston, Jens Redemann, Оleg Dubovik, A. W. Strawa
Citations: 677 • 2010
Validation and uncertainty estimates for MODIS Collection 6 “Deep Blue” aerosol data
A. M. Sayer, N. Christina Hsu, C. Bettenhausen, Myeong-Jae Jeong
Citations: 654 • 2013
Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm
Alexei Lyapustin, Yun Wang, István László, Ralph A. Kahn, Sergey Korkin, L. A. Remer, R. C. Levy, Jeffrey S. Reid
Citations: 638 • 2011
Multiangle Imaging Spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations
Ralph A. Kahn, B. J. Gaitley, John V. Martonchik, David J. Diner, K. A. Crean, B. N. Holben
Citations: 626 • 2005
Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network
Ralph A. Kahn, B. J. Gaitley, M. J. Garay, David J. Diner, T. F. Eck, A. Smirnov, B. N. Holben
Citations: 623 • 2010
Global monitoring of air pollution over land from the Earth Observing System‐Terra Moderate Resolution Imaging Spectroradiometer (MODIS)
D. A. Chu, Yoram J. Kaufman, Giuseppe Zibordi, J. Chern, Jietai Mao, Chengcai Li, B. N. Holben
Citations: 612 • 2003