Limitations of AERONET SDA product in presence of cirrus clouds

A. Smirnov*, T. B. Zhuravleva, M. Segal-Rosenheimer, B. N. Holben

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


The paper discusses certain limitations on applicability of Spectral Deconvolution Algorithm (SDA) to aerosol optical depth spectral measurements contaminated by cirrus clouds. Analysis of the synthetic data demonstrates that application of SDA to cloud contaminated measurements can produce significant errors in the apparent optical depth fine mode retrievals. Such application can produce results that just look reasonable and physically admissible but in fact can be relatively far from the truth and therefore can be misleading.

Original languageEnglish
Pages (from-to)338-341
Number of pages4
JournalJournal of Quantitative Spectroscopy and Radiative Transfer
StatePublished - Feb 2018
Externally publishedYes


FundersFunder number
National Aeronautics and Space Administration


    • Aerosol Robotic Network (AERONET)
    • Aerosols
    • Aerosols and clouds
    • Cirrus optical depth
    • Remote sensing
    • Sun photometers


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