The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Cloud-Screening and Quality Control Algorithms for the AERONET Database
Open accessAbstract
Abstract Automatic globally distributed networks for monitoring aerosol optical depth provide measurements of natural and anthropogenic aerosol loading, which is important in many local and regional studies as well as global change research investigations. The strength of such networks relies on imposing a standardization of measurement and processing, allowing multiyear and large-scale comparisons. The development of the Aerosol Robotic Network (AERONET) for systematic ground-based sunphotometer measurements of aerosol optical depth is an essential and evolving step in this process. The growing database requires the development of a consistent, reproducible, and system-wide cloud-screening procedure. This paper discusses the methodology and justification of the cloud-screening algorithm developed for the AERONET database. The procedure has been comprehensively tested on experimental data obtained in different geographical and optical conditions. These conditions include biomass burning events in Brazil and Zambia, hazy summer conditions in the Washington DC area, clean air advected from the Canadian Arctic, and variable cloudy conditions. For various sites our screening algorithm eliminates from ∼20% to 50% of the initial data depending on cloud conditions. Certain shortcomings of the proposed procedure are discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization
Holben, B. N., Eck, T. F., Slutsker, I., Tanré, D., Buis, J. P., Setzer, A., Vermote, E., Reagan, J. A., Kaufman, Y. J., Nakajima, T., et al. (1998) · Remote Sensing of Environment · doi:10.1016/s0034-4257(98)00031-5 · Cited by 7,743
Self-citationWavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols
(1999) · Journal of Geophysical Research: Atmospheres · doi:10.1029/1999jd900923 · Cited by 2,269
Some applications of statistics to meteorology
Panofsky, H. A., Brier, G. W., & Best, W. H. (1958) · University of Michigan Library Repository · Cited by 1,103
Introduction to the Mathematics of Inversion in Remote Sensing and Indirect Measurements
(1977) · Developments in geomathematics · doi:10.1016/c2009-0-10033-8 · Cited by 737
Introduction to the mathematics of inversion in remote sensing and indirect measurements
Hobbs, B. (1978) · Physics of The Earth and Planetary Interiors · doi:10.1016/0031-9201(78)90065-1 · Cited by 259
Russell, P. B., Livingston, J. M., Dutton, E. G., Pueschel, R. F., Reagan, J. A., DeFoor, T. E., Box, M. A., Allen, D., Pilewskie, P., Herman, B. M., et al. (1993) · Journal of Geophysical Research: Atmospheres · doi:10.1029/93jd02308 · Cited by 227
Improved technique for data inversion: optical sizing of multicomponent aerosols
Dubovik, О., Lapyonok, T., & Oshchepkov, S. L. (1995) · Applied Optics · doi:10.1364/ao.34.008422 · Cited by 56
Cited by
An emerging ground‐based aerosol climatology: Aerosol optical depth from AERONET
Holben, B. N., Tanré, D., Smirnov, A., Eck, T. F., Slutsker, I., Abuhassan, N., Newcomb, W. W., Schafer, J. S., Chatenet, B., Lavenu, F., et al. (2001) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2001jd900014 · Cited by 2,104
Self-citationGiles, 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., et al. (2019) · Atmospheric Measurement Techniques · doi:10.5194/amt-12-169-2019 · Cited by 1,396
Self-citationBounding Global Aerosol Radiative Forcing of Climate Change
Bellouin, N., Quaas, J., Gryspeerdt, E., Kinne, S., Stier, P., Watson‐Parris, D., Boucher, O., Carslaw, K. S., Christensen, M., Daniau, A. ‐., et al. (2020) · Reviews of Geophysics · doi:10.1029/2019rg000660 · Cited by 1,116
“…of τPDa come from the ground-based AErosol RObotic NET-662 work (AERONET) sun-photometer network (Holben et al., 1998; Smirnov et al., 2009),663 which provides near-global but sparsely sampled, cloud-free hourly τPDa at accuracies bet-664 ter than 0.01 (Eck et al., 1999; Smirnov et al., 2000).”
BackgroundInfluentialColarco, P., da Silva, A., Chin, M., & Diehl, T. (2010) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2009jd012820 · Cited by 668
Variability of aerosol parameters over Kanpur, northern India
Singh, R. P., Dey, S., Tripathi, S. N., Tare, V., & Holben, B. (2004) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2004jd004966 · Cited by 451
Self-citation
Metadata
- Authors
- Smirnov, A., Holben, B. N., Eck, T. F., Dubovik, O., & Slutsker, I.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2000-09
- Volume
- 73
- Issue
- 3
- Pages
- 337-349
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W1993814425
- Cited by
- 1,382
- References
- 7
- FWCI
- 29.50
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cloud-Screening and Quality Control Algorithms for the AERONET Database. https://app.cochat.ai/papers/10.1016/s0034-4257(00)00109-7
- The paper
- Smirnov, A., Holben, B. N., Eck, T. F., Dubovik, O., & Slutsker, I. (2000). Cloud-Screening and Quality Control Algorithms for the AERONET Database. Remote Sensing of Environment. https://doi.org/10.1016/s0034-4257(00)00109-7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
