Geoscientific Instrumentation, Methods and Data Systems
Geoscientific Instrumentation, Methods and Data Systems
GI
Articles | Volume 11, issue 2
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.
https://doi.org/10.5194/gi-11-389-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 2
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, Xavier Ceamanos, Isabel F. Trigo, Sandra Gomes, and Sandra C. Freitas

Related authors

High-resolution (1 km) all-sky net radiation over Europe enabled by the merging of land surface temperature retrievals from geostationary and polar-orbiting satellites
Dominik Rains, Isabel Trigo, Emanuel Dutra, Sofia Ermida, Darren Ghent, Petra Hulsman, Jose Gómez-Dans, and Diego G. Miralles
Earth Syst. Sci. Data, 16, 567–593, https://doi.org/10.5194/essd-16-567-2024,https://doi.org/10.5194/essd-16-567-2024, 2024
Short summary
Instantaneous aerosol and surface retrieval using satellites in geostationary orbit (iAERUS-GEO) – estimation of 15 min aerosol optical depth from MSG/SEVIRI and evaluation with reference data
Xavier Ceamanos, Bruno Six, Suman Moparthy, Dominique Carrer, Adèle Georgeot, Josef Gasteiger, Jérôme Riedi, Jean-Luc Attié, Alexei Lyapustin, and Iosif Katsev
Atmos. Meas. Tech., 16, 2575–2599, https://doi.org/10.5194/amt-16-2575-2023,https://doi.org/10.5194/amt-16-2575-2023, 2023
Short summary
Role of vegetation in representing land surface temperature in the CHTESSEL (CY45R1) and SURFEX-ISBA (v8.1) land surface models: a case study over Iberia
Miguel Nogueira, Clément Albergel, Souhail Boussetta, Frederico Johannsen, Isabel F. Trigo, Sofia L. Ermida, João P. A. Martins, and Emanuel Dutra
Geosci. Model Dev., 13, 3975–3993, https://doi.org/10.5194/gmd-13-3975-2020,https://doi.org/10.5194/gmd-13-3975-2020, 2020
Short summary
Fire danger rating over Mediterranean Europe based on fire radiative power derived from Meteosat
Miguel M. Pinto, Carlos C. DaCamara, Isabel F. Trigo, Ricardo M. Trigo, and K. Feridun Turkman
Nat. Hazards Earth Syst. Sci., 18, 515–529, https://doi.org/10.5194/nhess-18-515-2018,https://doi.org/10.5194/nhess-18-515-2018, 2018
Short summary
The climate of the Common Era off the Iberian Peninsula
Fátima Abrantes, Teresa Rodrigues, Marta Rufino, Emília Salgueiro, Dulce Oliveira, Sandra Gomes, Paulo Oliveira, Ana Costa, Mário Mil-Homens, Teresa Drago, and Filipa Naughton
Clim. Past, 13, 1901–1918, https://doi.org/10.5194/cp-13-1901-2017,https://doi.org/10.5194/cp-13-1901-2017, 2017
Short summary
More articles (6)

Related subject area

Data quality
Airborne electromagnetic data levelling based on the structured variational method
Qiong Zhang, Xin Chen, Zhonghang Ji, Fei Yan, Zhengkun Jin, and Yunqing Liu
Geosci. Instrum. Method. Data Syst., 13, 193–203, https://doi.org/10.5194/gi-13-193-2024,https://doi.org/10.5194/gi-13-193-2024, 2024
Short summary
Swarm Langmuir probes' data quality validation and future improvements
Filomena Catapano, Stephan Buchert, Enkelejda Qamili, Thomas Nilsson, Jerome Bouffard, Christian Siemes, Igino Coco, Raffaella D'Amicis, Lars Tøffner-Clausen, Lorenzo Trenchi, Poul Erik Holmdahl Olsen, and Anja Stromme
Geosci. Instrum. Method. Data Syst., 11, 149–162, https://doi.org/10.5194/gi-11-149-2022,https://doi.org/10.5194/gi-11-149-2022, 2022
Short summary
Evaluating methods for reconstructing large gaps in historic snow depth time series
Johannes Aschauer and Christoph Marty
Geosci. Instrum. Method. Data Syst., 10, 297–312, https://doi.org/10.5194/gi-10-297-2021,https://doi.org/10.5194/gi-10-297-2021, 2021
Short summary
Production of definitive data from Indonesian geomagnetic observatories
Relly Margiono, Christopher W. Turbitt, Ciarán D. Beggan, and Kathryn A. Whaler
Geosci. Instrum. Method. Data Syst., 10, 169–182, https://doi.org/10.5194/gi-10-169-2021,https://doi.org/10.5194/gi-10-169-2021, 2021
Short summary
Auroral classification ergonomics and the implications for machine learning
Derek McKay and Andreas Kvammen
Geosci. Instrum. Method. Data Syst., 9, 267–273, https://doi.org/10.5194/gi-9-267-2020,https://doi.org/10.5194/gi-9-267-2020, 2020
Short summary
More articles (12)

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
More articles (35)
Download
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.
Read more