Articles | Volume 10, issue 3
https://doi.org/10.5194/gmd-10-1107-2017
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, Nick A. J. Schutgens, Oriol Jorba, and Carlos Pérez García-Pando

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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.