Sand and dust storms are extreme and rapidly evolving meteorological phenomena that generate significant amounts of mineral particles in the atmosphere. They play a significant role in different aspects of weather, climate and atmospheric chemistry and represent a serious hazard for life, health, property, environment and economy.

The objective of the DUST2MSG project is to derive an hourly dust product from the Meteosat Zero Degree Service and Indian Ocean Data Coverage area with the latest version of the CISAR algorithm capable of retrieving aerosol and cloud properties over any types of surface. Retrieval of high aerosol load from space observation is challenging as is can easily be erroneous flagged as clouds. The CISAR algorithm (Govaerts and Luffarelli, 2018; Luffarelli and Govaerts, 2019) has been extended to the retrieval of cloud optical properties to overcome the need of an external cloud mask. After a so-called training period, the CISAR algorithm process all available satellite observations, i.e. both cloudy and cloud free sky. This algorithm has already been successfully applied for the joint retrieval of surface, aerosol and cloud properties over any types of surface from SEVIRI, SLSTR and PROBA-V data.




Kick-off meeting

The DUST2MSG kick-off meeting took place online (via Microsoft Teams) on the 30/11/2021.





Rayference has been created in 2013 as a private business company (SME) by Yves Govaerts and provides advanced technical and scientific expertise on Earth Observation, more specifically in the area of radiative transfer, inverse modelling, vicarious calibration and fundamental and thematic climate data record generation. Rayference contributes to the preparation of new space missions in the area of air quality and global surface monitoring. It is also involved in climate monitoring research projects and the design of algorithms for the operational retrieval of geophysical products. Rayference is a member of the CEOS IVOS working group.

Rayference project activities include:

  • Project Management
  • Algorithm Evolution
  • Product Generation and Validation
  • Outreach and Publication

Key personnel


Yves Govaerts

Project Leader


Lucio Franceschini

Data processing


Marta Luffarelli

Algorithm prototyping


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