Articles | Volume 11, issue 2
Geosci. Instrum. Method. Data Syst., 11, 389–412, 2022
https://doi.org/10.5194/gi-11-389-2022
Geosci. Instrum. Method. Data Syst., 11, 389–412, 2022
https://doi.org/10.5194/gi-11-389-2022
Research article
24 Nov 2022
Research article | 24 Nov 2022

Upgrade of LSA-SAF Meteosat Second Generation daily surface albedo (MDAL) retrieval algorithm incorporating aerosol correction and other improvements

Daniel Juncu et al.

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Cited articles

Arboleda, A., Ghilain, N., and Gellens-Meulenberghs, F.: Continuous monitoring of evapotranspiration (ET) overview of LSA-SAF evapotranspiration products, in: Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX, Vol. 10421, 104210E, International Society for Optics and Photonics, https://doi.org/10.1117/12.2278249, 2017. a
Becerril-Piña, R., Díaz-Delgado, C., Mastachi-Loza, C. A., and González-Sosa, E.: Integration of remote sensing techniques for monitoring desertification in Mexico, Hum. Ecol. Risk Assess., 22, 1323–1340, https://doi.org/10.1080/10807039.2016.1169914, 2016. a
Carrer, D., Roujean, J.-L., and Meurey, C.: Comparing Operational MSG/SEVIRI Land Surface Albedo Products From Land SAF With Ground Measurements and MODIS, IEEE T. Geosci. Remote Sens., 48, 1714–1728, https://doi.org/10.1109/TGRS.2009.2034530, 2010. a
Carrer, D., Pinault, F., Lellouch, G., Trigo, I. F., Benhadj, I., Camacho, F., Ceamanos, X., Moparthy, S., Munoz-Sabater, J., Schüller, L., and Sánchez-Zapero, J.: Surface Albedo Retrieval from 40-Years of Earth Observations through the EUMETSAT/LSA SAF and EU/C3S Programmes: The Versatile Algorithm of PYALUS, Remote Sensing, 13, 372, https://doi.org/10.3390/rs13030372, 2021. a
Ceamanos, X., Carrer, D., and Roujean, J.-L.: Improved retrieval of direct and diffuse downwelling surface shortwave flux in cloudless atmosphere using dynamic estimates of aerosol content and type: application to the LSA-SAF project, Atmos. Chem. Phys., 14, 8209–8232, https://doi.org/10.5194/acp-14-8209-2014, 2014. a
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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.