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 6
Atmos. Chem. Phys., 16, 3927–3951, 2016
https://doi.org/10.5194/acp-16-3927-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 16, 3927–3951, 2016
https://doi.org/10.5194/acp-16-3927-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 23 Mar 2016

Research article | 23 Mar 2016

Development of the Ensemble Navy Aerosol Analysis Prediction System (ENAAPS) and its application of the Data Assimilation Research Testbed (DART) in support of aerosol forecasting

Juli I. Rubin et al.

Viewed

Total article views: 2,260 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,104 1,057 99 2,260 72 91
  • HTML: 1,104
  • PDF: 1,057
  • XML: 99
  • Total: 2,260
  • BibTeX: 72
  • EndNote: 91
Views and downloads (calculated since 20 Oct 2015)
Cumulative views and downloads (calculated since 20 Oct 2015)

Cited

Saved (final revised paper)

No saved metrics found.

Saved (preprint)

Discussed (final revised paper)

No discussed metrics found.

Discussed (preprint)

No discussed metrics found.
Latest update: 27 Sep 2020
Publications Copernicus
Download
Short summary
This work tests the use of an ensemble prediction system for aerosol forecasting, including an ensemble adjustment Kalman filter for MODIS AOT assimilation. Key findings include (1) meteorology and source-perturbed ensembles are needed to capture long-range transport and near-source aerosol events, (2) adaptive covariance inflation is recommended for assimilating spatially heterogeneous observations and (3) the ensemble system captures sharp gradients relative to a deterministic/variational system.
This work tests the use of an ensemble prediction system for aerosol forecasting, including an...
Citation
Altmetrics
Final-revised paper
Preprint