Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.668
IF3.668
IF 5-year value: 3.707
IF 5-year
3.707
CiteScore value: 6.3
CiteScore
6.3
SNIP value: 1.383
SNIP1.383
IPP value: 3.75
IPP3.75
SJR value: 1.525
SJR1.525
Scimago H <br class='widget-line-break'>index value: 77
Scimago H
index
77
h5-index value: 49
h5-index49
AMT | Articles | Volume 12, issue 12
Atmos. Meas. Tech., 12, 6319–6340, 2019
https://doi.org/10.5194/amt-12-6319-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: TROPOMI on Sentinel-5 Precursor: first year in operation (AMT/ACP...

Atmos. Meas. Tech., 12, 6319–6340, 2019
https://doi.org/10.5194/amt-12-6319-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 02 Dec 2019

Research article | 02 Dec 2019

The role of aerosol layer height in quantifying aerosol absorption from ultraviolet satellite observations

Jiyunting Sun et al.

Viewed

Total article views: 1,630 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,109 503 18 1,630 21 21
  • HTML: 1,109
  • PDF: 503
  • XML: 18
  • Total: 1,630
  • BibTeX: 21
  • EndNote: 21
Views and downloads (calculated since 05 Apr 2019)
Cumulative views and downloads (calculated since 05 Apr 2019)

Viewed (geographical distribution)

Total article views: 1,292 (including HTML, PDF, and XML) Thereof 1,272 with geography defined and 20 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

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: 19 Sep 2020
Publications Copernicus
Download
Short summary
Single scattering albedo (SSA) is critical for reducing uncertainties in radiative forcing assessment. This paper presents two methods to retrieve SSA from satellite observations of the near-UV absorbing aerosol index (UVAI). The first is physically based radiative transfer simulations; the second is a statistically based machine learning algorithm. The result of the latter is encouraging. Both methods show that the ALH is necessary to quantitatively interpret aerosol absorption from UVAI.
Single scattering albedo (SSA) is critical for reducing uncertainties in radiative forcing...
Citation