Articles | Volume 19, issue 8
https://doi.org/10.5194/amt-19-2787-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-2787-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Assessing Earth's sphericity effects in the specific case of geostationary satellite observations: focus on operational land/aerosol applications from Meteosat Third Generation-Imager
Gloria Klein
CORRESPONDING AUTHOR
CNRM, Météo-France/CNRS/Université de Toulouse, Toulouse, France
CNRM, Météo-France/CNRS/Université de Toulouse, Toulouse, France
Jérôme Vidot
CNRM, Météo-France/CNRS/Université de Toulouse, Lannion, France
Didier Ramon
HYGEOS, 165 Av. de Bretagne, Euratechnologies, Lille, France
Mustapha Moulana
HYGEOS, 165 Av. de Bretagne, Euratechnologies, Lille, France
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This work investigates the aerosol remote sensing capabilities offered by the new Meteosat Third Generation-Imager geostationary satellite. First, aerosol load retrieval performance is demonstrated based on realistic synthetic data. Second, the potential for aerosol type characterization is proven, with the estimation of fine mode fraction. This work opens pathways for the future study of diurnal aerosol variations from space thanks to the high temporal resolution of geostationary satellites.
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In the solar energy application field, it is key to simulate solar resources anywhere on the globe. We conceived the Solar Resource estimate (SolaRes) tool to provide precise and accurate estimates of solar resources for any solar plant technology. We present the validation of SolaRes by comparing estimates with measurements made on two ground-based platforms in northern France for 2 years at 1 min resolution. Validation is done in clear-sky conditions where aerosols are the main factors.
Bruna Barbosa Silveira, Emma Catherine Turner, and Jérôme Vidot
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A fast radiative transfer model, used to speed up the full spectral simulation of meteorological satellite channels in weather forecast models, is tested using 25 000 modelled atmospheres. The differences between calculations from the fast and the high-resolution reference models are examined for nine historic weather satellite instruments. The study confirms that a reduced set of 83 atmospheric profiles is robust enough to estimate the scale of the differences obtained from the larger sample.
Xavier Ceamanos, Bruno Six, Suman Moparthy, Dominique Carrer, Adèle Georgeot, Josef Gasteiger, Jérôme Riedi, Jean-Luc Attié, Alexei Lyapustin, and Iosif Katsev
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A new algorithm to retrieve the diurnal evolution of aerosol optical depth over land and ocean from geostationary meteorological satellites is proposed and successfully evaluated with reference ground-based and satellite data. The high-temporal-resolution aerosol observations that are obtained from the EUMETSAT Meteosat Second Generation mission are unprecedented and open the door to studies that cannot be conducted with the once-a-day observations available from low-Earth-orbit satellites.
Daniel Juncu, Xavier Ceamanos, Isabel F. Trigo, Sandra Gomes, and Sandra C. Freitas
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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.
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Atmos. Meas. Tech., 14, 3953–3972, https://doi.org/10.5194/amt-14-3953-2021, https://doi.org/10.5194/amt-14-3953-2021, 2021
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Satellite measurements of atmospheric composition often rely on computer tools known as radiative transfer models to model the propagation of sunlight within the atmosphere. Here we have performed a detailed inter-comparison of seven different radiative transfer models in a variety of conditions. We have found that the models agree remarkably well, at a level better than previously reported. This result provides confidence in our understanding of atmospheric radiative transfer.
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RTTOV is a fast radiative transfer model for simulating passive satellite-based observations at visible, infrared, and microwave wavelengths. A core part of the model is a parameterisation of the absorption of radiation by the various gases present in the atmosphere. We present a new parameterisation that performs well compared to the existing one in terms of accuracy and can be developed further more easily. The new parameterisation is implemented in the latest release, RTTOV v13.0.
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Short summary
This work investigates the impact of the Earth's sphericity on geostationary satellite observations, particularly in the context of the operational estimation of aerosol and land surface properties from the Meteosat Third Generation-Imager's Flexible Combined Imager. We demonstrate that the plane-parallel approximation widely used in fast radiative transfer codes can introduce significant biases in certain situations, mainly depending on the observing geometry and wavelength.
This work investigates the impact of the Earth's sphericity on geostationary satellite...