Articles | Volume 17, issue 2
Atmos. Chem. Phys., 17, 1187–1205, 2017
https://doi.org/10.5194/acp-17-1187-2017
Atmos. Chem. Phys., 17, 1187–1205, 2017
https://doi.org/10.5194/acp-17-1187-2017

Research article 25 Jan 2017

Research article | 25 Jan 2017

Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajökull volcanic eruption

Guangliang Fu et al.

Viewed

Total article views: 1,765 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,127 575 63 1,765 88 59 54
  • HTML: 1,127
  • PDF: 575
  • XML: 63
  • Total: 1,765
  • Supplement: 88
  • BibTeX: 59
  • EndNote: 54
Views and downloads (calculated since 14 Jul 2016)
Cumulative views and downloads (calculated since 14 Jul 2016)

Cited

Saved (final revised paper)

Saved (preprint)

Latest update: 22 Sep 2021
Download
Short summary
A Satellite Observational Operator (SOO) is proposed to translates satellite-retrieved 2-D volcanic ash mass loadings to 3-D concentrations. The SOO makes the analysis step of assimilation comparable in the 3-D model space, and thus it avoids the artificial vertical correlations by not involving the integral operator in directly assimilating 2-D data. The results show that satellite data assimilation with SOO can efficiently improve the estimate of volcanic ash state and the forecast.
Altmetrics
Final-revised paper
Preprint