Improving retrieval of volcanic sulfur dioxide from backscattered UV satellite observations L03102

Kai Yang, Nickolay A. Krotkov, Arlin J. Krueger, Simon A. Carn, Pawan K. Bhartia, Pieternel F. Levelt

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

Existing algorithms that use satellite measurements of solar backscattered ultraviolet (BUV) radiances to retrieve sulfur dioxide (SO2) vertical columns underestimate the large SO2 amounts encountered in fresh volcanic eruption clouds. To eliminate this underestimation we have developed a new technique, named the Iterative Spectral Fitting (ISF) algorithm, for accurate retrieval of SO2 vertical columns in the full range of volcanic emissions. The ISF algorithm is applied to Ozone Monitoring Instrument (OMI) BUV measurements of the Sierra Negra eruption (Galàpagos Islands, Ecuador) in October 2005. The results represent major improvements over the operational OMI SO2 products. Based on the ISF data, we report the largest SO2 vertical column amount (>1000 Dobson Units (DU), where 1 DU = 2.69 × 1016 molecules/cm2) ever observed by a space borne instrument, implying that very high concentrations of SO 2 can occur in the lower troposphere during effusive eruptions.

Original languageEnglish
Article numberL03102
JournalGeophysical Research Letters
Volume36
Issue number3
DOIs
StatePublished - Feb 16 2009

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