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Cited by 1,396Atmospheric aerosols and cloudsAtmospheric chemistry and aerosolsCalibration and Measurement Techniques

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

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Giles, David M., Sinyuk, Alexander, Sorokin, Mikhail G., Schafer, Joel S., Smirnov, Alexander, Slutsker, Ilya, Eck, Thomas F., Holben, Brent N. +5 more·2019·Atmospheric Measurement Techniques
DOI 10.5194/amt-12-169-2019

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Abstract

The Aerosol Robotic Network (AERONET) has provided highly accurate, ground-truth measurements of the aerosol optical depth (AOD) using Cimel Electronique Sun–sky radiometers for more than 25 years. In Version 2 (V2) of the AERONET database, the near-real-time AOD was semiautomatically quality controlled utilizing mainly cloud-screening methodology, while additional AOD data contaminated by clouds or affected by instrument anomalies were removed manually before attaining quality-assured status (Level 2.0). The large growth in the number of AERONET sites over the past 25 years resulted in significant burden to the manual quality control of millions of measurements in a consistent manner. The AERONET Version 3 (V3) algorithm provides fully automatic cloud screening and instrument anomaly quality controls. All of these new algorithm updates apply to near-real-time data as well as post-field-deployment processed data, and AERONET reprocessed the database in 2018. A full algorithm redevelopment provided the opportunity to improve data inputs and corrections such as unique filter-specific temperature characterizations for all visible and near-infrared wavelengths, updated gaseous and water vapor absorption coefficients, and ancillary data sets. The Level 2.0 AOD quality-assured data set is now available within a month after post-field calibration, reducing the lag time from up to several months. Near-real-time estimated uncertainty is determined using data qualified as V3 Level 2.0 AOD and considering the difference between the AOD computed with the pre-field calibration and AOD computed with pre-field and post-field calibration. This assessment provides a near-real-time uncertainty estimate for which average differences of AOD suggest a +0.02 bias and one sigma uncertainty of 0.02, spectrally, but the bias and uncertainty can be significantly larger for specific instrument deployments. Long-term monthly averages analyzed for the entire V3 and V2 databases produced average differences (V3–V2) of +0.002 with a ±0.02 SD (standard deviation), yet monthly averages calculated using time-matched observations in both databases were analyzed to compute an average difference of −0.002 with a ±0.004 SD. The high statistical agreement in multiyear monthly averaged AOD validates the advanced automatic data quality control algorithms and suggests that migrating research to the V3 database will corroborate most V2 research conclusions and likely lead to more accurate results in some cases.

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Cited by

Sorted by citations

Authors
Giles, D. M., Sinyuk, A., Sorokin, M. G., Schafer, J. S., Smirnov, A., Slutsker, I., Eck, T. F., Holben, B. N., Lewis, J. R., Campbell, J. R., Welton, E. J., Korkin, S. V., & Lyapustin, A. I.
Affiliations
  • Goddard Space Flight Center (US)
  • Naval Research Laboratory Marine Meteorology Division (US)
Corresponding author
  • Giles, David M.
  • Sinyuk, Alexander
  • Sorokin, Mikhail G.
  • Schafer, Joel S.
  • Smirnov, Alexander
  • Slutsker, Ilya
  • Eck, Thomas F.
  • Holben, Brent N.
  • Lewis, Jasper R.
  • Campbell, James R.
  • Welton, Ellsworth J.
  • Korkin, Sergey V.
  • Lyapustin, Alexei I.
ORCID
Venue
Atmospheric Measurement Techniques
Publisher
Copernicus GmbH
Published
2019-01-11
Volume
12
Issue
1
Pages
169-209
ISSN
  • 1867-1381 (ISSN-L)
  • 1867-8548
DOI
10.5194/amt-12-169-2019
OpenAlex
W2890236410
Cited by
1,396
References
0
Citations by year
2026: 117 · 2025: 169 · 2024: 193 · 2023: 217 · 2022: 226 · 2021: 262 · 2020: 143 · 2019: 67 · 2018: 2
FWCI
89.82
Type
journal article
Language
en
Open access
Licence
Locations
  • Atmospheric measurement techniques (publishedVersion, cc-by)
  • Biogeosciences (European Geosciences Union) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Maryland Shared Open Access Repository (USMAI Consortium) (submittedVersion, public-domain)
  • Digital Repository at the University of Maryland (University of Maryland College Park) (cc-by)
Funders
  • National Aeronautics and Space Administration
  • National Oceanic and Atmospheric Administration
  • Goddard Space Flight Center
  • NASA Headquarters
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
  • Physical Sciences › Engineering › Aerospace Engineering › Calibration and Measurement Techniques
Keywords
AERONET, aerosol optical depth, sun photometry, cloud screening, water vapor absorption, gaseous absorption, near real-time data, long-term aerosol trends

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