Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.414
IF5.414
IF 5-year value: 5.958
IF 5-year
5.958
CiteScore value: 9.7
CiteScore
9.7
SNIP value: 1.517
SNIP1.517
IPP value: 5.61
IPP5.61
SJR value: 2.601
SJR2.601
Scimago H <br class='widget-line-break'>index value: 191
Scimago H
index
191
h5-index value: 89
h5-index89
Volume 16, issue 1
Atmos. Chem. Phys., 16, 177–193, 2016
https://doi.org/10.5194/acp-16-177-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Meso-scale aerosol processes, comparison and validation studies...

Atmos. Chem. Phys., 16, 177–193, 2016
https://doi.org/10.5194/acp-16-177-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 18 Jan 2016

Research article | 18 Jan 2016

An optimal-estimation-based aerosol retrieval algorithm using OMI near-UV observations

U. Jeong et al.

Viewed

Total article views: 1,864 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,029 764 71 1,864 60 68
  • HTML: 1,029
  • PDF: 764
  • XML: 71
  • Total: 1,864
  • BibTeX: 60
  • EndNote: 68
Views and downloads (calculated since 18 Jun 2015)
Cumulative views and downloads (calculated since 18 Jun 2015)

Cited

Saved (final revised paper)

No saved metrics found.

Saved (preprint)

No saved metrics found.

Discussed (final revised paper)

No discussed metrics found.

Discussed (preprint)

No discussed metrics found.
Latest update: 24 Oct 2020
Publications Copernicus
Download
Short summary
An aerosol retrieval and error analysis algorithm using OMI measurements based on an optimal-estimation method was developed in this study. The aerosol retrievals were validated using the DRAGON campaign products. The estimated errors of the retrievals represented the actual biases between retrieval and AERONET measurements well. The retrievals, with their estimated uncertainties, are expected to be valuable for relevant studies, such as trace gas retrieval and data assimilation.
An aerosol retrieval and error analysis algorithm using OMI measurements based on an...
Citation
Altmetrics
Final-revised paper
Preprint