Articles | Volume 10, issue 3
Geosci. Model Dev., 10, 1107–1129, 2017
https://doi.org/10.5194/gmd-10-1107-2017
Geosci. Model Dev., 10, 1107–1129, 2017
https://doi.org/10.5194/gmd-10-1107-2017

Development and technical paper 10 Mar 2017

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.

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Cited articles

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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.