Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Geosci. Model Dev., 10, 1107-1129, 2017
http://www.geosci-model-dev.net/10/1107/2017/
doi:10.5194/gmd-10-1107-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Development and technical paper
10 Mar 2017
Assimilation of MODIS Dark Target and Deep Blue observations in the dust aerosol component of NMMB-MONARCH version 1.0
Enza Di Tomaso et al.

Viewed

Total article views: 435 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
317 101 17 435 7 14

Views and downloads (calculated since 21 Sep 2016)

Cumulative views and downloads (calculated since 21 Sep 2016)

Viewed (geographical distribution)

Total article views: 435 (including HTML, PDF, and XML)

Thereof 430 with geography defined and 5 with unknown origin.

Country # Views %
  • 1

Cited

Saved (final revised paper)

Saved (discussion paper)

Discussed (final revised paper)

Discussed (discussion paper)

Latest update: 26 Mar 2017
Publications Copernicus
Download
Short summary
A data assimilation capability has been built for a chemical weather prediction system, with a focus on mineral dust. Before this work, dust was produced uniquely from model estimated emissions. As emissions are recognized as a major factor limiting the accuracy of dust modelling, satellite observations have been used to improve the description of the atmospheric dust load, with a significant impact on dust forecast from assimilating observations particularly relevant for dust applications.
A data assimilation capability has been built for a chemical weather prediction system, with a...
Share