Articles | Volume 11, issue 2
https://doi.org/10.5194/gi-11-389-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-11-389-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Nov 2022
Research article |
| 24 Nov 2022
| 24 Nov 2022
Upgrade of LSA-SAF Meteosat Second Generation daily surface albedo (MDAL) retrieval algorithm incorporating aerosol correction and other improvements
CNRM, Météo-France, CNRS, Université de Toulouse, Toulouse, France
CNRM, Météo-France, CNRS, Université de Toulouse, Toulouse, France
Isabel F. Trigo
Instituto Português do Mar e da Atmosfera (IPMA), Lisbon, Portugal
Sandra Gomes
Instituto Português do Mar e da Atmosfera (IPMA), Lisbon, Portugal
Sandra C. Freitas
Instituto Português do Mar e da Atmosfera (IPMA), Lisbon, Portugal
Deimos Engenharia, Lisbon, Portugal
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Short summary
MDAL is a near real-time, satellite-based surface albedo product based on the geostationary Meteosat Second Generation mission. We propose an update to the processing algorithm that generates MDAL and evaluate the results of these changes through comparison with the pre-update, currently operational MDAL product as well as reference data using different satellite-based albedo products and in situ measurements. We find that the update provides a valuable improvement.
MDAL is a near real-time, satellite-based surface albedo product based on the geostationary...
